2,258 Data Solutions Jobs nearby Manesar

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms for training and deploying large-scale solutions - Training and evaluating ML models using various machine learning and deep learning algorithms - Ensuring model accuracy is maintained during deployment and retraining as needed - Packaging and deploying large-scale models on on-premise systems using multiple approaches including Docker - Taking complete ownership of the assigned project - Working in Agile environments and utilizing project tracking tools like JIRA - Utilizing cloud platforms such as AWS, Azure, and GCP - Handling NoSQL databases like MongoDB, Cassandra, Cosmos DB, and HBase - Experience in forecasting with products like SAP, Oracle, Power BI, Qlik, etc. - Proficiency in Excel including Power Pivot, Power Query, Macros, and Charts - Working with large datasets and distributed computing tools such as Hive, Hadoop, and Spark - Implementing transfer learning with state-of-the-art models in various domains like vision, NLP, and speech - Integrating with external services and Cloud APIs - Using data annotation approaches and tools for text, images, and videos Qualifications Required: - Strong background in Data Science, Statistics, or related fields - Proficiency in programming languages such as R and Python - Experience with machine learning, deep learning, and statistical modeling - Familiarity with cloud platforms, NoSQL databases, and forecasting tools - Ability to work with large datasets and distributed computing frameworks - Excellent problem-solving skills and the ability to work independently - Strong communication and teamwork skills (Note: Additional details about the company were not provided in the job description.),

You will be responsible for Oracle Cloud Administrator (OCI) and Oracle Integration Cloud (OICS) Solution Architect role with 10+ years of strong expertise in Oracle technology, including 6+ years as an OICS solution architecture and OCI administration. It is mandatory to have OCI certification, and any other Oracle technology certification will be an added advantage. Your key responsibilities will include: - Working on Oracle Integration Cloud service to connect applications such as Salesforce, Success Factor, EPM, OAC using connectors/API. - Designing integration architecture for cloud to cloud, cloud to on-premise systems. - Providing PaaS provisioning and estimating data transfer between SaaS, PaaS, and external systems. - Utilizing all Oracle services to suggest suitable options and having knowledge of pre-built adapters for Oracle Fusion. - Having experience on complete OCI Administration with a strong understanding of Tenancy, VCN, Compartments, Network Layers, handling firewalls, subnet, storage options, FSS, Block Volume, Object storage. - Performing OCI infra-administration tasks such as installing, configuring, migrations, tuning, patching, administration & monitoring. - Writing and modifying Terraform scripts for application deployments on OCI and managing OCI Infrastructure. - Conducting performance tuning, hardware upgrades, and resource optimization as required. - Configuring CPU, memory, and disk partitions as necessary to ensure high availability of infrastructure. - Applying OS patches and upgrades regularly and upgrading administrative tools and utilities. Configuring/new services as necessary. - Handling OS or Application related security vulnerabilities. - Provisioning storage, compute nodes, network, and understanding requirements. - Understanding and hands-on experience with HA architecture, DR setup in an OCI environment. - Collaborating effectively with infrastructure teams, application development teams, and 3rd party product support teams. Note: The company is a leading Business Process Management company.,

As a member of the dynamic Finance Platform Solutions team at Macquarie, you will be responsible for delivering system support and change governance. Your role will involve acting as an intermediary between the Financial Management Group and Technology teams, contributing to a collaborative and dynamic culture within the organization. **Key Responsibilities:** - Utilize your expertise in data analytics and modern tools to design and maintain automated solutions that meet business needs - Develop SQL queries, support Power BI dashboards, and ensure data integrity while troubleshooting and resolving issues - Lead transformation projects by collaborating with various stakeholders to translate business requirements into analytical solutions **Qualifications Required:** - Bachelor's degree in Computer Science, Engineering, or related field - 5+ years of experience in data analytics, Power BI, and SQL - Expertise in Alteryx, DBMS, data lake architectures, and familiarity with distributed query engines like Starburst is preferred - Experience with financial reporting tools such as Workiva is advantageous - Proven ability to translate business requirements into technical solutions aligned with organizational goals - Strong analytical skills, problem-solving mindset, and a commitment to delivering high-quality, innovative data projects Macquarie offers a range of benefits to its employees, including wellbeing leave, parental leave, childcare services, volunteer leave, and comprehensive medical and life insurance cover. Additionally, employees have access to learning and development opportunities, hybrid and flexible working arrangements, and reimbursement for work from home equipment. The Financial Management, People, and Engagement (FPE) department at Macquarie provides a single interface for the organization's businesses across key areas of people, strategy, communications, and financial management. FPE is committed to managing the Group's financial, tax, and treasury activities, fostering the culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie's reputation globally. Macquarie is dedicated to diversity, equity, and inclusion, providing reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know during the application process.,

As a highly skilled Data Business Analyst, your role will involve working closely with business stakeholders, data engineers, and product teams to translate business requirements into effective data solutions. It is essential to have expertise in SQL, Data Warehousing concepts, ETL processes, Data Modeling, and Data Mapping. Experience with cloud-based data platforms is an added advantage. **Key Responsibilities:** - Collaborate with business stakeholders to gather, analyze, and document data requirements - Translate business needs into functional specifications, data models, and process flows - Perform deep-dive data analysis using advanced SQL queries - Work with ETL and data engineering teams to ensure accurate data pipelines and transformations - Support Data Warehousing initiatives, including data modeling (conceptual, logical, and physical) - Develop and maintain data mapping documents and source-to-target (S2T) specifications - Perform data validation, profiling, and quality checks to ensure data accuracy - Assist in defining KPIs, building dashboards, and supporting reporting needs - Communicate findings and insights to technical and non-technical stakeholders - Work with cloud data services (AWS/Azure/GCP) for data ingestion, storage, and processing *(nice to have)* **Qualifications Required:** - 5+ years of experience - Strong SQL skills with the ability to write complex queries - Solid understanding of Data Warehousing concepts - Hands-on experience with ETL processes and data transformation logic - Good knowledge of Data Modeling (dimensional & relational) - Experience in Data Mapping and documenting S2T specifications - Strong analytical and problem-solving skills - Excellent communication and documentation abilities In addition, exposure to cloud data platforms like AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Pub/Sub), experience with BI/reporting tools (Tableau, Power BI, Looker), and a basic understanding of data governance and metadata management are considered *Nice to have*.,

As an Audit and Assurance professional at PwC, your role involves providing independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability for various stakeholders. You will evaluate compliance with regulations, assess governance and risk management processes, and related controls to ensure the integrity of information. In the realm of data, analytics, and technology solutions, you will assist clients in developing solutions that foster trust, drive improvement, and enable risk detection, monitoring, and prediction. Your tasks will encompass utilizing advanced analytics, data wrangling technology, and automation tools to harness data effectively, establishing efficient processes, and structures for clients to make informed decisions based on accurate and trustworthy information. Key Responsibilities: - Provide independent and objective assessments of financial statements, internal controls, and other assurable information. - Evaluate compliance with regulations and assess governance and risk management processes. - Assist clients in developing solutions using advanced analytics, data wrangling technology, and automation tools. - Establish processes and structures for clients to make efficient decisions based on accurate and trustworthy information. Qualifications Required: - Bachelor's degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. - More than 1 year of experience in data analytics, data science, or a related role. - Excellent verbal and written communication skills. - Ability to work collaboratively in a team environment and manage multiple tasks efficiently. - Eagerness to learn and adapt to new technologies and methodologies. - CPA or equivalent certification. In addition, as you progress through your career at PwC, you are encouraged to apply a learning mindset, appreciate diverse perspectives, and actively listen to others. You are expected to gather information, analyze facts, and discern patterns to drive strategic decision-making. It is essential to commit to understanding how the business works, uphold professional and technical standards, and contribute to continuous improvement. Your curiosity and reliability as a team member will be instrumental in delivering quality work that adds value to clients and fosters success within the team. Overall, your role at PwC will offer diverse challenges and opportunities for growth as you navigate through different client engagements and collaborate with team members. By consistently delivering quality work and building your brand, you will open doors to further career advancement and development. Good to Have: - Experience in a similar role in your current profile. - Good accounting knowledge and experience in dealing with financial data are advantageous. - Knowledge of Azure Databricks, Alteryx, Python, SAS, or Knime. - Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, and Databricks. - Basic understanding of Power BI data visualization techniques and tools. - Strong analytical and problem-solving skills with attention to detail.,

As a Data Scientist at AiDASH, you will play a crucial role in extracting, cleaning, and analyzing large datasets from multiple sources using SQL and Python/R. Your key responsibilities will include: - Building and optimizing data scraping pipelines to process large-scale unstructured data. - Performing statistical analysis and data mining to identify trends, patterns, and anomalies. - Developing automated workflows for data preparation and transformation. - Conducting data quality checks and implementing validation procedures. - Building and validating ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas. - Applying feature engineering to enhance accuracy and interpretability. - Executing experiments, applying cross-validation, and benchmarking model performance. - Collaborating on A/B testing frameworks to validate hypotheses. - Working on predictive analytics for wildfire risk detection and storm damage assessment. - Translating complex business requirements into data science solutions. - Developing predictive models and analytical tools that directly support CRIS decision-making. - Creating interactive dashboards and automated reports for stakeholders. - Documenting methodologies and maintaining clean, production-ready code repositories. Qualifications required for this role include: - 4-5 years of hands-on experience in data science, analytics, or quantitative research. - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field. - Strong programming skills in Python for data analysis and machine learning. - Proficiency in SQL and experience with relational databases. - Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow). - Knowledge of statistical methods (clustering, regression, classification) and experimental design. - Familiarity with data visualization tools (matplotlib, seaborn, ggplot2 Tableau, or similar). - Exposure to cloud platforms (AWS, GCP, Azure) is a plus. - Proven experience with end-to-end model development (from data exploration to deployment). - Track record of delivering actionable insights that influenced business decisions. Please note that this job posting was by Alyma Khan from AiDASH.,

Role Overview: The Data Science Analyst role within the GWFO team involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. As a Data Science Analyst, you will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends, providing insights to enhance business decision-making capabilities in areas such as business planning, process improvement, and solution assessment. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. - Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, focusing on cutting-edge AI technologies. - Work closely with internal and external business partners to build, implement, track, and improve decision strategies. - Appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation and compliance with applicable laws and regulations. Qualifications Required: - 7+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, being organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills. Education: - Bachelors/University degree or equivalent experience. This job description provides a comprehensive overview of the Data Science Analyst role within the GWFO team. Other job-related duties may be assigned as required.,

In this role at PwC, you will focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability with stakeholders. You will also evaluate compliance with regulations, assess governance and risk management processes, and related controls. As part of the data, analytics, and technology solutions team, you will assist clients in developing solutions to build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve utilizing advanced analytics, data wrangling technology, and automation tools to leverage data and establish processes to enable clients to make efficient decisions based on accurate and trustworthy information. **Key Responsibilities:** - Design and develop ways to automate and reimagine audits - Develop audit solutions using innovative technologies like Alteryx, SQL, Python, Power BI, PowerApps, and Process Intelligence - Gain a strong understanding of the role data and analytics play in modern-day audits - Work on technical assignments to develop skills in data analytics and visualization - Deliver client engagements - Manage data, including extraction and cleansing processes - Analyze data and create visualizations to help organizations manage business risk - Utilize advanced analytics techniques for predictive and prescriptive analytics - Build and maintain strong relationships with engagement teams and clients - Interact with territory audit teams to communicate objectives and testing results **Qualifications Required:** - Bachelor's or Master's Degree in Computer Science, Data Analytics, or Accounting with at least 1 year of relevant experience - Market credentials in data & analytics working with large organizations - Stakeholder management and interpersonal skills - Project management experience, including developing project plans, budgets, and deliverables schedules - Analytical and problem-solving capabilities on complex engagements - Ambition to develop a long-term career in PwC In addition to the above, the role offers an opportunity to work with financial services institutions or commercial sectors and specialize in one of these areas. You will also gain experience in financial reporting, financial accounting, regulatory compliance, or internal audit. Please Note: Candidates with Big 4 or equivalent experience are preferred for this role.,

As a Data Scientist at Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE, your role will involve the following key responsibilities: - Designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models (Random Forest, Boosting) using R/Python. - Demonstrating competency in Probability and Statistics, including utilizing concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. - Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations. - Performing Exploratory Data Analysis (EDA) of raw data and conducting feature engineering where applicable. - Proficiency in Data Visualization using the Python/R Data Science Stack. - Leveraging cloud platforms for training and deploying large-scale solutions. - Training and evaluating ML models using various machine learning and deep learning algorithms. - Retraining and maintaining model accuracy in deployment. - Packaging and deploying large-scale models on on-premise systems using multiple approaches, including docker. - Taking complete ownership of the assigned project. - Experience of working in Agile environments. - Familiarity with JIRA or equivalent project tracking tool. In terms of competencies and skills, you should have knowledge of cloud platforms such as AWS, Azure, and GCP. Exposure to NoSQL databases like MongoDB, Cassandra, Cosmos DB, HBase is preferred. Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. is beneficial. Proficiency in Excel, including Power Pivot, Power Query, Macros, and Charts, is required. Experience with large datasets and distributed computing (Hive/Hadoop/Spark) is a plus. Additionally, familiarity with transfer learning using state-of-the-art models in various domains like vision, NLP, and speech, integration with external services and Cloud API, working with data annotation approaches and tools for text, images, and videos is desirable. Your work experience should range from a minimum of 2 years to a maximum of 8 years, and you should hold a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

As a member of the Visualization Centre of Excellence (CoE) at the Bain Capability Network (BCN), your role will involve working closely with global Bain case teams, Bain Partners, and end-clients to provide data analytics and business intelligence support. You will utilize advanced data analysis and visualization tools such as SQL, Python, Azure, AWS, Tableau, PowerBI, and Alteryx to convert data into insightful visualization tools. The CoE serves as a one-stop shop for all case requests related to data visualization, including survey analytics and leadership KPI dashboards. Key Responsibilities: - Design, build, and maintain infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis - Act as an expert on specific platforms/tools/languages (e.g., Azure, AWS, Python, SQL) and lead teams of analysts to design and deliver impactful insights - Support project leads in end-to-end handling of processes, including requirement gathering, data cleaning, processing, and automation - Investigate data to identify issues within ETL pipelines, propose solutions, and ensure scalability and maintainability of data architecture - Utilize data analysis tools like Azure Data Bricks, AWS Athena, Alteryx, etc., to support case teams with KPI analysis - Prepare documentation for reference and support product development by building scalable and automated pipelines and algorithms - Manage internal and external stakeholders, provide expertise in data management and tool proficiency, and communicate insights and next steps effectively - Stay updated on statistical, database, and data warehousing tools and techniques Qualifications Required: - Graduate/Post-Graduate from a top-tier college with strong academic records - 3-5 years of relevant work experience in Data Management, Business Intelligence, or Business Analytics - Concentration in a quantitative discipline preferred (e.g., Statistics, Mathematics, Engineering, Computer Science) - Minimum 2+ years of experience in Database development on Cloud-based platforms (AWS/Azure) - Hands-on experience with Python, Advanced SQL queries, data modeling, and ETL tools - Ability to prioritize projects, manage competing priorities, and drive projects to completion under tight deadlines - Motivated and collaborative team player with excellent oral and written communication skills - Experience with CI/CD pipelines, certifications in AWS and Azure, and familiarity with Snowflake/GCP are advantageous In conclusion, at Bain & Company, you will have the opportunity to work in a dynamic and inclusive environment that values diversity, collaboration, and social responsibility. Ranked as one of the best places to work globally, we prioritize building extraordinary teams where individuals can thrive both personally and professionally. Join us in our commitment to diversity, inclusion, and creating a supportive work environment that celebrates talent and potential.,

**Job Description:** **Role Overview:** As the Manager of Data Analytics & Solutions at Adidas, your primary responsibility will be to manage and execute data engineering and analytics solutions across various functions such as Consumer Engagement, Competitor Intelligence, and Experience Analytics & Automation. You will lead the development of data pipelines, create data products, ensure data availability for Power BI reports, and drive automation initiatives to enhance operational efficiency. Your technical expertise, leadership skills, and track record in managing impactful data engineering projects will be crucial for this role. **Key Responsibilities:** - **Data Engineering and Development:** - Lead the development of data products and dashboards on the Databricks platform, ensuring robust data processing and analytics capabilities. - Design, build, and maintain data pipelines through CICD for seamless data flow into the analytics environment. - Ensure data availability for Power BI reports and develop data products tailored to specific team needs. - **Dashboard Management and Development:** - Oversee the transition of existing dashboards to the new data architecture with minimal disruption. - Collaborate with stakeholders to gather requirements and develop new dashboard solutions. - Integrate Customer Experience clickstream data into reports and lead efforts in developing comprehensive reports on membership KPIs. - **Automation Initiatives:** - Lead efforts to automate recurring reports and develop automation solutions for PowerPoint presentations. - **Quality Assurance and Best Practices:** - Implement quality checks to ensure data accuracy and reliability within pipelines and dashboards. - Advocate for and implement best practices in data engineering and analytics development. - **Collaboration and Leadership:** - Work closely with cross-functional teams to ensure integrated solutions. - Provide guidance to junior team members and collaborate with various departments to align data solutions with business objectives. - **Databricks Migration:** - Outline detailed plans for migrating existing jobs and dashboards to Databricks. - Execute the migration by identifying dependencies, updating data sources, and ensuring compatibility with the new environment. - **Stakeholder Engagement:** - Work closely with business stakeholders to understand their needs and maintain regular communication to provide updates on project progress. **Qualification Required:** - 5-7 years of experience in data engineering, with at least 2 years in a managerial role. - Strong expertise in Databricks, Power BI, and data pipeline development. - Experience with dashboard development in a large-scale enterprise environment. - Proficiency in Python, SQL, and analytics tools such as PowerBI, Tableau, and Alteryx. - Excellent communication, stakeholder management, and problem-solving skills. - Experience mentoring junior team members and a background in apparel/fashion/shoes or internet industry. **Additional Details (if required):** At Adidas, embedding diversity, equity, and inclusion (DEI) into the culture and talent processes is a priority. By fostering a culture of inclusion through recruiting diverse talent, the company aims to engage employees and connect authentically with consumers. This commitment to DEI reflects the core values of Adidas and provides a competitive advantage in the market.,

As part of our engineering team at Macquarie, you'll be contributing to a strategic finance transformation program by building and configuring cloud-based integrations for our SaaS platform on AWS. Your role will involve developing data interfaces to ensure seamless connectivity, translating functional requirements into effective solutions, and gaining hands-on experience in financial accounting. Working with innovative cloud and AI technologies, you'll have extensive opportunities for learning and growth. Key Responsibilities: - Build and configure cloud-based integrations for our SaaS platform on AWS - Develop data interfaces to ensure seamless connectivity - Translate functional requirements into effective solutions - Gain hands-on experience in financial accounting as part of a strategic transformation program - Work with innovative cloud and AI technologies Qualifications Required: - Proficient in Python programming with experience in key libraries (Pandas, NumPy, Flask/Django) and backend/API development - Skilled in Oracle PL/SQL for developing and optimizing stored procedures, triggers, and queries - Hands-on experience with ETL tools and frameworks for building reliable data pipelines - Familiar with relational databases, SQL, version control (Git), cloud platforms (AWS/Azure), and DevOps tools - Strong problem-solving, communication, and collaboration skills, with a proactive approach to learning - Preferred experience in data integration and Agile/Scrum Macquarie offers a wide range of benefits to its employees, including wellbeing leave, paid parental leave, childcare services, volunteer leave, comprehensive medical and life insurance cover, access to learning and development opportunities, and hybrid and flexible working arrangements. As part of our Technology team, you'll be contributing to accelerating the digital enterprise, connecting people and data, building platforms and applications, and designing tomorrow's technology solutions. Macquarie is committed to diversity, equity, and inclusion. We provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.,

Role Overview: As the Asia Pacific Data Solutions Operations Leader at APAC Human Capital Solutions, you will play a crucial role in driving HCA and RMCD delivery impacting both the region and global clients. Your responsibilities will include ensuring optimal results through successful deployment and execution of initiatives supporting the data solutions business growth strategy and priorities for the APAC region. By optimizing operations, leveraging scale, and determining resource requirements, you will deliver value to clients and colleagues. Identifying and addressing issues related to client satisfaction, operational excellence, and margin improvement will be key aspects of your role, as you collaborate with global Data Solutions Operations teams and Centres of Excellence. Key Responsibilities: - Directly manage and engage a team of 8 people across key markets in the region to align regional strategy and operations with global objectives. - Oversee Platform Operations, including Client Experience Management, Product Data Review, and Platform Integrations. - Manage Data Operations, focusing on data progress tracking & risk management, data & analytics management, and technology efficiency. - Drive global consistency within data solutions platforms and processes, ensuring coordination with local teams for testing, deployment, and improvement. - Collaborate with APAC Data Solutions Leadership team on product management activities such as Product Coverage, Content, and Assets. - Represent the regional voice of clients and colleagues in strategic decision-making processes. - Focus on operational excellence, milestone achievements, and setting operating strategies for the data solutions business. - Maintain high delivery standards, ensuring timely and high-quality results for clients. - Foster regional team collaboration with global data solutions teams and implement global initiatives while considering regional market nuances. - Encourage and utilize scaled capabilities within the function and across the wider data solutions business. Qualifications Required: - Bachelor's degree in a relevant field; advanced degree preferred. - Proven experience in data solutions operations, preferably in a leadership role. - Strong understanding of data management, analytics, and technology efficiency. - Excellent communication and collaboration skills, with the ability to work across diverse teams. - Strategic thinking and business analysis capabilities to support commercial objectives. - Demonstrated track record of driving operational excellence and delivering results.,

As a member of the Finance Platform team at Macquarie, you will be part of a high-performing group that supports transformation initiatives for platforms like Oracle Fusion and Account Reconciliation Cloud Service. Your role will involve performing regular testing on key GL data sets within the CDH platform and acting as a liaison between business teams requiring General Ledger Data and the IT team delivering it. It is crucial to manage risk effectively while ensuring all changes in the CDH platform and GL Data sets adhere to the design, build, test, train, and deliver framework. **Key Responsibilities:** - Perform regular testing across CDH platform on key GL data sets - Act as an intermediary between business teams and IT team for General Ledger Data - Manage risk and ensure changes adhere to the framework **Qualifications Required:** - 4-7 years of experience in data governance, preferably in a Finance function within financial services - Experience with Atlassian tools (Jira, Confluence) and data analytics/big data tools - Familiarity with data governance frameworks and Oracle General Ledger packages - Proficiency in visualization technologies (e.g., PowerBI, Tableau) - Strong written and verbal communication skills to explain complex technology concepts to non-technical Finance teams At Macquarie, you will be part of a global financial services group operating in 31 markets with 56 years of unbroken profitability. The Financial Management, People, and Engagement (FPE) team provides a single interface for Macquarie's businesses across key areas of people, strategy, communications, and financial management. The team is responsible for managing the Group's financial, tax, and treasury activities, strategic priorities, fostering culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie's reputation globally. Macquarie is committed to diversity, equity, and inclusion, and aims to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.,

You have an exciting opportunity to join the engineering team at Macquarie to help drive the strategic finance transformation program. You will collaborate closely with the finance business to deliver innovative solutions, enhancing and streamlining finance operations for impactful change. At Macquarie, you will be part of a forward-thinking group where everyone contributes ideas and drives outcomes. **Role Overview:** You will be responsible for building and configuring cloud-based integrations for the SaaS platform on AWS. Your role will involve developing data interfaces to ensure seamless connectivity and translating functional requirements into effective solutions. You will gain hands-on experience in financial accounting as part of a strategic transformation program, working with innovative cloud and AI technologies. **Key Responsibilities:** - Proficient in Python programming with experience in key libraries (Pandas, NumPy, Flask/Django) and backend/API development - Skilled in Oracle PL/SQL for developing and optimizing stored procedures, triggers, and queries - Hands-on experience with ETL tools and frameworks for building reliable data pipelines - Familiar with relational databases, SQL, version control (Git), cloud platforms (AWS/Azure), and DevOps tools - Strong problem-solving, communication, and collaboration skills, with a proactive approach to learning and preferred experience in data integration and Agile/Scrum **Qualifications Required:** - Proficiency in Python programming with experience in key libraries - Skilled in Oracle PL/SQL - Hands-on experience with ETL tools and frameworks - Familiarity with relational databases, SQL, version control (Git), cloud platforms (AWS/Azure), and DevOps tools - Strong problem-solving, communication, and collaboration skills, with a proactive approach to learning and preferred experience in data integration and Agile/Scrum If you are excited about the role and working at Macquarie, we encourage you to apply. **About Technology:** Technology enables every aspect of Macquarie, for their people, customers, and communities. The global team is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications, and designing tomorrow's technology solutions. **Note:** The additional details about the company provided in the job description have not been included in the final JD as they were not structured as a separate section.,

Role Overview: With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization aims to empower customers to accelerate business value through differentiated customer experiences leveraging Microsoft's products and services. As a Cloud Solution Architect (CSA) specializing in data platforms and analytics, you will play a crucial role in helping customers build secure, scalable, and AI-ready solutions on Microsoft Azure. Your responsibilities will include architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security across mission-critical workloads. Join CE&S and contribute to accelerating AI transformation for customers and the world. Key Responsibilities: - Act as the trusted Technical Delivery Lead and advisor to large enterprise customers in the region, engaging at Senior/Executive levels to understand business and IT priorities, success measures, and challenges for the adoption of Microsoft Azure services. - Drive next best actions to develop new opportunities that enable Customer Success business results, including helping customers derive value from their Microsoft investments and enabling local teams to execute programmatic motions. - Lead architecture design sessions, develop Data & Analytics roadmaps, and drive Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to accelerate adoption and ensure long-term technical viability. - Be accredited and certified to deliver with advanced proficiency in priority workloads such as Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB. - Demonstrate a track record of driving customer/partner success at the enterprise level, strong communication and presentation skills for CXO level conversations, and the ability to connect business and technology areas to drive improvements. - Anticipate and manage business and technical risks, continuously align individual skilling to team demands and Customer Success goals, and engage in communities to share expertise and contribute to IP creation. Qualifications: - Track record of driving customer/partner success at enterprise level. - Communication and presentation skills to drive CXO level conversations. - Ability to connect business and technology areas and drive improvements. - Experience in developing and expanding relationships with key stakeholders. - Ability to anticipate and manage business and technical risks. - Demonstrated self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals. (Note: Any additional details of the company were not included in the provided job description.),

Role Overview: As a Cloud Solutions Architect (CSA) - Cloud & AI Apps at Microsoft, your mission is to empower customers to accelerate their business value through differentiated customer experiences leveraging Microsoft's products and services. You will play a vital role in helping customers build secure, scalable, and AI-ready solutions on Microsoft Azure. Your responsibilities will include engaging with customers, delivering architecture designs, proof of concepts, and production deployments, and collaborating with engineering teams to drive delivery excellence and adoption of Cloud investments. Key Responsibilities: - Be the trusted Technical Delivery Lead and advisor to large enterprise customers, engaging at Senior/Executive levels to understand customers" overall Business and IT priorities. - Identify resolutions to technical blockers and act as the voice of the customer by driving new feedback into engineering. - Drive next best actions to develop new opportunities that enable Customer Success business results through enabling adoption, delivery oversight, and escalation support. - Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and Application Integration platforms. - Drive technical thought leadership, apply new learnings to support customers and internal teams skilling, and learn new technologies aligned to customer needs in Cloud-based application deployments. Qualifications: - Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 12+ years experience in cloud/infrastructure/application technologies. - OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 12+ years experience in cloud/infrastructure/application technologies. - OR equivalent experience. - Proven experience architecting and implementing enterprise-grade cloud-native solutions with AI capabilities, preferably with pre-existing knowledge of Azure. - Sound experience in Azure Application Platform/Containers/Serverless, Azure Integration Service, Azure AI Foundry, DevOps, GitHub, and Azure Data Services. Additional Company Details: Microsoft's mission is to empower every person and every organization on the planet to achieve more. The company values respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Benefits/perks may vary depending on the nature of employment and country of work.,

As a Salesforce Marketing Cloud Solution Engineer, you will play a crucial role in engaging with a diverse range of customers, from operational marketing and IT teams to C-Level executives. Your primary responsibility will be to act as a trusted advisor and guide, delivering exceptional customer experiences while effectively showcasing the business value of our solutions to audiences at all levels. - Collaborate closely with sales teams, partners, product specialists, and industry experts to plan and execute sales campaigns successfully. - Lead client discovery sessions to ensure that proposed solutions align with customer goals, address business challenges, and pave the way for a fast return on investment. - Deliver compelling presentations and product demonstrations to various audiences, showcasing your expertise and understanding of customer experience management solutions. - Stay abreast of the latest innovations in the field to maximize the impact of every engagement and share successes and learnings internally. To excel in this role, you should have: - Over 10 years of experience in Solution Engineering, Pre-Sales, or Solutions Consulting, demonstrating solutions that inspire and transform customer experiences. - A background of at least 7 years in Digital Marketing, Marketing Automation, Customer Data Platforms, and AI. - Technical expertise in Customer Relationship Management, Loyalty Management, Analytics, Real-time Interaction Management, or other relevant technologies is advantageous. - Experience in product management or post-sales software implementations will also be viewed favorably, enhancing your ability to drive continuous improvement within the Solution Engineering team and elevate your personal profile within Salesforce. No additional details about the company are mentioned in the job description.,

As the Principal Data Engineer, you will lead the data engineering team, formulate the organizational data strategy, and ensure alignment with business objectives by collaborating with cloud analytics platform owners and business stakeholders. Your responsibilities will include defining data quality standards, data flow within the organization, and data security. You will be translating business requirements into technical specifications, examining existing data structures, and creating a blueprint for an integrated framework of accessible and secure data aligned with business strategies. Additionally, you will define processes for testing and maintaining the database and lead the Data Engineering team in agile delivery to support the Product Owners in defining requirements and delivery timelines. Your role requires knowledge of systems development, solution architecture, data lifecycle management, data architecture and engineering, project management approaches, design and testing techniques, data modeling, and proficiency in programming languages like Python and SQL. Experience with multi-cloud architecture, including GCP and Azure, and familiarity with AI/ML technology are important. You should be capable of implementing data management and reporting technologies, understanding columnar and NoSQL databases, data visualization, and unstructured data. **Team Leadership** - Guide and Mentor Team Members: Lead, coach, and mentor Data Engineers and ML Engineers, fostering collaboration and technical excellence within the team. - Drive Technical Excellence: Set high standards for technical excellence and ensure adherence to best practices in data engineering, analytics, and operations. - Support Professional Development: Identify and support the professional growth of team members. - Strategic Vision: Develop and communicate a clear vision for the data engineering team aligning with the overall business strategy. **Data Architecture** - Define Future Data Architecture: Establish the future state of data architecture and infrastructure to align with business goals. - Conceptual Data Modeling: Model business data conceptually and independently of applications, creating a blueprint for accessible, secure data. - Best Practices and Knowledge Sharing: Share best-practice knowledge among the solutions architect community. - Requirement Gathering and Delivery: Liaise with product owners and business teams to gather requirements for data-driven projects. - Project Guidance and Coordination: Advise and support projects regarding data matters, providing guidance on best practices. - Cloud Infrastructure Partnership: Collaborate with Cloud Solution Architects to ensure cloud infrastructure meets data analytics needs. **Technical Vendor Management** - Ensure Compliance: Ensure vendors adhere to company data architecture standards and quality requirements. - Evaluate Vendor Performance: Assess vendor performance regularly and provide feedback. - Stay Informed on Vendor Offerings: Keep up to date with vendor offerings to leverage new technologies. **Business Requirements** - Support and serve as a backup for Product Owner for high-level discussions with business on goals and priorities. - Translate business goals and priorities into EDS priorities and a roadmap for analytics. - Translate business requirements into technical tasks for the team. **Analytics Environment and Tooling** - Enhance analytics environments and implement new solutions in collaboration with the Product Owner. **Security and Governance** - Support Product Owner and Security Architect in defining and implementing business policies and procedures related to governing and securing data. - Ensure consistency between security models in source systems and analytics data lake.,

Role Overview: At Small Medium Enterprises and Corporate (SME&C), you will be part of a high-growth, AI-powered global sales team deeply connected to partners and driven by customer success. By uniting the Small Medium Business, Corporate, Strategy, and Partner teams, you will be unlocking the largest customer opportunity with significant investments. Your role will involve leveraging AI and the extensive partner ecosystem to redefine how businesses of all sizes adopt technology for growth and innovation. SME&C is not just a sales organization but a culture of innovation, opportunity, and inclusivity where collaboration, connection, and continuous learning are valued. Key Responsibilities: - Lead business level dialogue with customers on SAP workloads, focusing on business transformation for enterprise computing and digital transformation - Engage and jointly sell with SAP counterparts, Partners, and Priority ISVs to maximize business results by delivering Microsoft and Partner solutions to meet customer outcomes - Influence Microsoft Azure SAP GTM strategies by providing feedback on product requirements and sales blockers to leadership, marketing, and engineering - Lead complex deals by orchestrating virtual teams composed of industry, solution, technical, licensing & legal team members, SI, and ISV partners - Drive Sales Excellence by exceeding sales/cloud consumption quota through pipeline management and accurate forecasting Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field AND 4+ years of technology-related sales or account management experience OR 5+ years of relevant experience - Master's degree in Business Administration, Information Technology, or related field preferred - 7-10+ years of technology-related sales or account management experience with deep expertise in SAP Netweaver platform - 7+ years of services sales or account management experience, leading sales teams, and engaging with C-Suite and executive business decision makers - Ability to identify customer problems and develop solutions through cloud technologies - Experience in leading large cloud engagements, especially in infrastructure modernization and migration - Strong communication skills, both verbal and written, with executive-level speaking and presentation abilities - Exceptional decision-making, conflict resolution, problem-solving, and negotiation skills Additional Company Details (if available): This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.,