1 Data Analysis Jobs nearby Ratnagiri

Role Overview: You will be responsible for establishing, implementing, and proactively leading processes, procedures, standards, and initiatives to improve business performance under the Integrated Management System for ISO 9001 (Quality), ISO 14001 (Environment), OHSAS 18001 (Health & Safety), and ISO 28000 (Supply Chain Security). Your role will include planning and conducting management reviews, internal audits, and coordinating external third-party certification audits as the Management Representative (MR) to drive continual improvement. Key Responsibilities: - Lead the promotion of a no-blame culture focused on zero harm through health, safety, and environmental awareness across all organizational levels. - Develop and implement the Health, Safety & Environment (S&E) improvement plan and initiatives in coordination with line management to achieve annual objectives. - Conduct monthly OHSE committee meetings to evaluate OHSE performance, provide feedback to management, and drive operational efficiency. - Monitor, analyze, and publish data for trend analysis and statistics to drive continual improvement in all OHSE aspects and conduct related personnel training. - Support line management in conducting risk assessments and ensuring proactive management of operational risks. - Adhere to ICAM procedure for incident investigations, implement control measures to prevent recurrence of identified gaps. - Evaluate and ensure emergency response preparedness through regular emergency mock drills and maintenance of emergency response procedures. Qualification Required: - Post Graduate qualification in Safety with a minimum of 5 years of work experience in Safety Management; OR - Graduation in any field with a Diploma in Industrial Safety and a minimum of 7 years of work experience in Safety Management; OR - Master Mariner or Marine Professional with at least 3 years of rank experience and 3 years of ashore experience in Safety Management and Training. - Knowledge of ISO and other International Standards related to Quality, Environment, and Occupational Health & Safety. - Lead Auditor certification in Quality Management System. - Proficiency in Microsoft Office applications. - Bilingual in English and Hindi.,

Hi,  I hope you're doing well.  I'm reaching out to share an exciting career opportunity with Epicenter Technologies. We are currently looking for talented professionals for the role of Financial Planning & Analysis and your background may align well with what we are seeking.  Role: Manager/Senior Manager - Financial Planning & Analysis (FP&A) Qualification: Chartered Accountant (CA) or MBA required  Experience: 1. Minimum 5 years of relevant FP&A experience 2. Experience in the BPO industry is preferred  Key Responsibilities: 1. Financial Planning and Budgeting: Develop and implement the financial plan and annual budget Monitor budget initiatives and ensure timely reporting of adverse variances Prepare monthly project-wise Profit & Loss statements  2. Reporting and Analysis: Conduct weekly profitability discussions, providing insightful comments on developments and corrective actions Create and maintain a weekly revenue dashboard Perform quarterly evaluations of low-margin projects and recommend corrective actions Ensure timely submission of Management Information Systems (MIS) reports to the Board, CEO, and executive management  3. Data Management and Automation: Automate data capture and flow within the FP&A processes Develop Excel sheets that are visually appealing and contain meaningful content Create PowerPoint presentations featuring accurate data, eye-catching visuals, and insightful commentary  4. Team Leadership and Improvement: Enhance the efficiency, effectiveness, and quality of the finance team's output to ensure fast and factual reporting Mentor and develop team members, fostering a culture of continuous improvement  5. Communication and Collaboration: Communicate complex financial information clearly and effectively to stakeholders Provide insightful comments on financial developments and suggest actionable courses of action  Skills Required: 1. Strong Excel modeling skills, with the ability to present data in a clear and visually appealing manner. 2. Excellent PowerPoint presentation skills, showcasing data effectively with a cohesive theme. 3. Strong analytical and research skills, with a focus on identifying trends and opportunities for improvement. 4. Exceptional communication skills, ensuring clarity and ease of understanding in all financial reporting.  What We Offer: 1. Competitive salary and benefits package 2. Opportunities for professional development and career advancement 3. A collaborative work environment that values innovation and efficiency  If you're open to exploring new opportunities or would like to learn more, please reply to this email with your updated resume or simply share your contact number and a convenient time to connect. Feel free to also forward this opportunity to anyone in your network who may be interested. Looking forward to hearing from you!

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

Role Overview: Are you interested in pursuing your career in Asset Management and working in a data-driven business environment As a Data and Business Process Analyst at UBS, your role will involve collaborating with a cross-functional team to identify inefficiencies, analyze existing workflows, and simplify processes to enhance operational efficiency, ensure compliance, and drive performance improvement. You will have the opportunity to leverage data analysis tools, process modeling, and problem-solving skills to redesign processes, implement changes aligned with business goals, and drive automation initiatives across various operation functions. Key Responsibilities: - Act as a data and business process analyst to identify inefficiencies and analyze existing workflows for simplification within operations - Utilize data analysis tools, process modeling, and problem-solving skills to identify bottlenecks, redesign processes, and implement changes aligned with business goals - Collaborate with different teams to understand their needs, identify areas for automation, and design the target operating model for transforming data and operations landscape - Leverage data analytics to identify patterns, trends, and anomalies in data, providing insights for business decisions and improving data quality - Contribute to the growth of AM Operations by researching AI/automation tools to enhance operational efficiency - Perform data collection and analysis, process mapping, requirements gathering, stakeholder management, process implementation, and change management activities Qualifications Required: - Minimum of 8 years of hands-on experience in data and business analysis with a focus on operation process optimization, preferably within the financial industry, especially Asset Management - Proficiency with SQL and automation/analytics tools for data extraction, analysis, and reporting - Strong ability in data and process modeling, working with complex datasets, and supporting decision-making and data architecture design - Analytical and problem-solving skills with the capacity to interpret and leverage data and AI capabilities for process improvements - Detail-oriented, solution-focused, with excellent communication skills, proactive approach, and understanding of Agile software methodology and modern CI/CD practices - Visionary mindset with a passion for innovation, cutting-edge technologies, and driving the adoption of AI and GenAI in the data and operations space About the Company: UBS is the world's largest and only truly global wealth manager with operations in four business divisions, including Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in major financial centers across more than 50 countries, UBS stands out for its global reach and expertise. At UBS, people are valued for their diverse skills, experiences, and backgrounds, driving ongoing success through a supportive team, growth opportunities, and flexible working options. The inclusive culture at UBS fosters collaboration and innovation, leveraging artificial intelligence (AI) to work smarter and more efficiently. (Note: The "Disclaimer / Policy Statements" section has been omitted from the Job Description as it does not directly relate to the job role.),

As a Quantitative Research Data Engineering Vice President within our Wholesale Credit Data QR team, you will play a pivotal role in designing, analyzing, and delivering firm-wide data to support our Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan loss reserves models. Your focus will be on data model definition and the evolution of our Data Dictionary to enable deep dive data analysis and analytical explorations. You will have the opportunity to work on the evolution of our frameworks, underlying data platforms, and related tools to enhance the integration of pricing and forecast models, improve flexibility, extendibility of the framework, and improve scalability and performance. Collaboration with experienced Wholesale Credit model developers and business partners will be key, and you will also have the chance to guide and mentor junior team members. **Key Responsibilities:** - Work as data engineer, creating or building data pipelines, defining APIs to source data from different systems, performing complex transformations or enhancements to data, and optimizing end-to-end runs. - Perform data analysis to support model development and analytics. - Liaise with various lines of business and risk modelers, thoroughly understanding various models for BASEL, CCAR, CECL, and other credit risk models. - Work with multiple stakeholders to elicit, analyze, refine, and document business processes and data requirements. - Collaborate through the entire Software Development Life Cycle (SDLC), including planning, analysis, and testing of new applications and enhancements to existing applications. - Perform user acceptance testing and deliver demos to stakeholders using SQL queries or Python scripts. **Qualifications Required:** - Bachelors or Masters in Computer Science, Data Analytics, or equivalent discipline. - Experience of 7+ years in a data engineering role in financial services, data analytics with a focus on frameworks to handle large datasets and similar. - Data analysis and data manipulation skills using SQL, Python, object-oriented programming & MS Excel are required. - Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data. - Prior experience in building data architecture to source data from different systems, handling complex transformations, and optimizing the end-to-end solution. - Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines. - Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts. - Detail-oriented with strong organizational skills. - Excellent communication abilities, both written and oral. - Experience implementing analytics frameworks in finance. - Experience with source control, automated build/test systems, code coverage, unit testing, and release processes. Please note that the preferred qualifications, capabilities, and skills were not provided in the Job Description.,

As an intern for the Data Analytics internship program based in Pune, you will have the opportunity to apply your skills in data analysis. - Join us for College project. - Hybrid internship option available. - Work 5 days a week. - Receive an experience certificate. - Job placement assistance post internship. No additional details of the company were provided in the job description.,

You will be responsible for: - Designing, developing, and maintaining data pipelines and ETL/ELT workflows using GCP-native tools and services. - Building and optimizing data warehouses using Snowflake. - Writing complex and efficient SQL queries for data transformation, analysis, and reporting. - Collaborating with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions. - Implementing data governance, security, and monitoring best practices across GCP projects. - Tuning queries and optimizing performance of large-scale datasets. - Automating workflows using Cloud Composer (Airflow) or similar orchestration tools. Your Skills & Qualifications should include: - 3+ years of experience in a data engineering or data platform role. - Strong hands-on experience with Snowflake data warehousing. - Expert-level skills in SQL, able to write optimized, scalable, and complex queries. - Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse. - Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion. - Experience in Python or similar scripting language for data engineering tasks. - Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.,

As a Team Leader at Siemens Digital Industries Software, your role involves providing day-to-day leadership and technical guidance to a diverse team of Data Analysts, AI Data Scientists, and Data Visualization Analysts based in India. Your responsibilities include: - **Team Leadership & Management**: - Provide daily leadership, mentorship, and coaching to foster a culture of high performance and innovation. - Conduct performance reviews, set clear objectives, and support career development of team members. - Manage resource allocation and project assignments efficiently for timely delivery. - **Stakeholder Engagement & Project Alignment**: - Act as the primary liaison for US-based stakeholders, translating business use cases into actionable plans. - Manage stakeholder expectations, communicate project progress effectively, and mitigate risks. - **Technical Oversight & Quality Assurance**: - Provide technical guidance across data analysis, machine learning, and data visualization initiatives. - Ensure best practices in data quality, analytical methodologies, and model governance. - Drive continuous improvement in team processes and methodologies. Qualifications Required: - Exceptional Leadership & People Management skills. - Strong Technical Acumen in data lifecycle, machine learning concepts, and model deployment. - Cross-Cultural Communication & Collaboration abilities. - Project & Program Management experience with agile methodologies. - Problem Solving & Strategic Thinking skills. - Stakeholder Management expertise. - Adaptability & Resilience in a dynamic environment. - Bachelor's or Master's degree in a related quantitative field. - 8+ years of experience in Data Analysis or related fields. - 3+ years of leadership experience managing technical teams. Working at Siemens Digital Industries Software offers flexibility in work locations, great benefits, and rewards. You can choose between working remotely or at the office, and expect a supportive environment for growth and development.,

As a Data Analyst, Automation & Analysis at Springer Nature Group, you will be contributing to data and reporting activities supporting both BAU processes and strategic initiatives. Your responsibilities will include designing, building, and maintaining dashboards and reporting tools using Looker and Google BigQuery, as well as analyzing large datasets to identify trends and patterns that enhance operational efficiency and strategic decision-making. You will also play a key role in ensuring consistent data quality and integrity by recommending and implementing KPIs, data definitions, and reporting frameworks. Key Responsibilities: - Design, build, and maintain dashboards and reporting tools using Looker and Google BigQuery. - Analyze large datasets to identify trends, patterns, and actionable insights. - Contribute to the development and documentation of data standards and best practices. - Recommend and implement KPIs, data definitions, and reporting frameworks. In addition to data analysis, you will manage a portfolio of journals, working closely with Publishing teams to ensure journals are run in a Production-ready manner. You will gather system requirements, set up and maintain peer review systems, conduct presentations and training sessions, and maintain journal-specific records and documentation. Your role will also involve fostering a culture of continuous improvement, quality, and efficiency within the team and with stakeholders. Qualifications Required: - Experience working with large datasets for operational or strategic decision-making. - Ability to work with cross-functional teams and communicate technical findings to non-technical stakeholders. - Proficiency in Looker, Google BigQuery, and other BI tools. - Previous experience in a publishing or support role. - Strong analytical and numeracy skills with attention to detail. - Proficiency in SQL, Python, and programming languages. - Excellent organizational, written, and verbal communication skills. - Proactive mindset with the ability to manage multiple projects and priorities simultaneously. - Degree or equivalent work experience. - Additional training or certification in data analysis, business intelligence, or data visualization is desirable. Springer Nature values diversity and inclusivity in its teams and strives to create an inclusive culture where every individual is treated fairly and can thrive. If you have any access needs related to disability, neurodivergence, or a chronic condition, please contact us for necessary accommodations. To explore career opportunities at Springer Nature, visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers.,

As a Data Analytics Intermediate Analyst at our company, you will be a developing professional with the ability to solve most problems independently and make judgments based on factual information. Your role will involve integrating in-depth specialty knowledge in data analysis with a strong understanding of industry standards and practices. You will work closely with the team to achieve the objectives of the subfunction/job family. Your attention to detail and analytical thinking skills will be crucial in providing accurate recommendations and judgments. Key Responsibilities: - Integrate in-depth data analysis knowledge with industry standards and practices. - Demonstrate a good understanding of how data analytics teams integrate with others to achieve objectives. - Apply project management skills effectively. - Analyze factual information to make accurate judgments and recommendations with a focus on local operations and broader impacts. - Break down information in a systematic and communicable manner. - Provide informal guidance or on-the-job training to new team members. - Assess risks when making business decisions, ensuring compliance with laws and regulations. Qualifications: - 2-5 years of relevant experience. - Knowledge of tools for statistical modeling of large data sets. - Ability to use complex analytical, interpretive, and problem-solving techniques effectively. - Demonstrated interpersonal, verbal, and written communication skills. Education: - Bachelors/University degree or equivalent experience. This job description provides an overview of the work you will be performing. Other job-related duties may be assigned as required. As a Data Analytics Intermediate Analyst at our company, you will be a developing professional with the ability to solve most problems independently and make judgments based on factual information. Your role will involve integrating in-depth specialty knowledge in data analysis with a strong understanding of industry standards and practices. You will work closely with the team to achieve the objectives of the subfunction/job family. Your attention to detail and analytical thinking skills will be crucial in providing accurate recommendations and judgments. Key Responsibilities: - Integrate in-depth data analysis knowledge with industry standards and practices. - Demonstrate a good understanding of how data analytics teams integrate with others to achieve objectives. - Apply project management skills effectively. - Analyze factual information to make accurate judgments and recommendations with a focus on local operations and broader impacts. - Break down information in a systematic and communicable manner. - Provide informal guidance or on-the-job training to new team members. - Assess risks when making business decisions, ensuring compliance with laws and regulations. Qualifications: - 2-5 years of relevant experience. - Knowledge of tools for statistical modeling of large data sets. - Ability to use complex analytical, interpretive, and problem-solving techniques effectively. - Demonstrated interpersonal, verbal, and written communication skills. Education: - Bachelors/University degree or equivalent experience. This job description provides an overview of the work you will be performing. Other job-related duties may be assigned as required.

You will be joining Mosaic Wellness, a company dedicated to building digital-first health brands for elective health concerns. One of the platforms you will be contributing to is Man Matters, which focuses on helping 2.5 million men annually with personalized treatment plans for concerns like hair loss, beard growth, fitness, and nutrition. Additionally, you will be involved in Be Bodywise, an online platform serving 4 million women each year by offering personalized solutions and doctor consults for hair health, body care, sleep, and nutrition. Little Joys, another platform under Mosaic, assists 2 million parents annually in addressing their child's physical, mental, and emotional development needs through age-appropriate solutions for nutrition, immunity, brain health, and bone health. As a Data/Business Analyst at Mosaic Wellness, you will work closely with the head of analytics to enhance financial data pipelines and reporting processes. Collaborating with the Finance team and B2B partners, you will be responsible for conducting analysis on invoicing data, preparing proof of concepts for optimization, managing data for sales recognition, and supporting various ad-hoc requests related to financial reporting. To excel in this role, you should possess strong expertise in Excel, Python, and data automation, along with experience in data preparation for financial reporting. Your analytical skills and familiarity with e-commerce data analysis will be crucial, as you manage multiple ad-hoc requests, prioritize tasks effectively, and navigate B2B transactions and finance processes. With 2 years of experience in financial data analysis and stakeholder management, a degree in data analytics or data science would be advantageous. Knowledge of SQL and dashboarding tools like Tableau or Power BI is considered a plus. Join us in Thane for a full-time position where you can contribute to the success of Mosaic Wellness and its various health platforms. You will be joining Mosaic Wellness, a company dedicated to building digital-first health brands for elective health concerns. One of the platforms you will be contributing to is Man Matters, which focuses on helping 2.5 million men annually with personalized treatment plans for concerns like hair loss, beard growth, fitness, and nutrition. Additionally, you will be involved in Be Bodywise, an online platform serving 4 million women each year by offering personalized solutions and doctor consults for hair health, body care, sleep, and nutrition. Little Joys, another platform under Mosaic, assists 2 million parents annually in addressing their child's physical, mental, and emotional development needs through age-appropriate solutions for nutrition, immunity, brain health, and bone health. As a Data/Business Analyst at Mosaic Wellness, you will work closely with the head of analytics to enhance financial data pipelines and reporting processes. Collaborating with the Finance team and B2B partners, you will be responsible for conducting analysis on invoicing data, preparing proof of concepts for optimization, managing data for sales recognition, and supporting various ad-hoc requests related to financial reporting. To excel in this role, you should possess strong expertise in Excel, Python, and data automation, along with experience in data preparation for financial reporting. Your analytical skills and familiarity with e-commerce data analysis will be crucial, as you manage multiple ad-hoc requests, prioritize tasks effectively, and navigate B2B transactions and finance processes. With 2 years of experience in financial data analysis and stakeholder management, a degree in data analytics or data science would be advantageous. Knowledge of SQL and dashboarding tools like Tableau or Power BI is considered a plus. Join us in Thane for a full-time position where you can contribute to the success of Mosaic Wellness and its various health platforms.

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Profile: Senior Data Analyst Function: Data Analytics Location: Mumbai Joining: Immediate 15 days Education: Graduation Experience: Minimum 5 years Working Days: Monday Friday (Sat and Sun fixed off) Shift timings: 12pm 9pm Introduction to Company: Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries.At that time, most of the educational forums provided for specialised industries were general and colourless. They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed none. TT LifeSciences set out to do things differently. We are client-centered and carefully curate a program designed for our clients needs. The result Educational events that are tailored to the professionals who attend and provide a space for real growth. We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech. We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn, inspire and innovate. Benefits: Work life balance.Rewards & Recognitions programs.Employees completing three years receive loyalty bonuses ranging from INR 1Lac to INR 5 Lacs.Professional development and career advancement opportunities are activelyencouraged.Opportunity to work across global Markets Berlin, Germany, the USA, andEurope.Additional benefits include paid holidays, festive leaves, and team gatherings.Comprehensive perks such as Provident Funds and health insurance areprovided.Sick leave and relocation assistance are also part of the employee supportprogram. Job Responsibilities: Collect and clean data from different sources to find useful trends and insights.Create and update dashboards, reports, and charts to share results clearly.Work with teams to understand their data needs and provide solutions.Use statistical methods and forecasting to support decision-making.Suggest ways to improve processes, automate tasks, and maintain data quality.Ensure data is accurate, reliable, and follows privacy rules.Keep learning new tools and methods in data analysis.Share findings and recommendations with stakeholders in an easy-tounderstand way.Support business growth by providing timely and relevant insights.Help in designing data strategies that align with company goals.Assist in training team members on using data tools and reports. Candidate Specification: Excellent verbal and written communications skills. Confident while working Strong work ethic International exposure To-do-attitude Willingness to learn Long term approach Required Skills: Bachelors degree in data science, Statistics, Mathematics, Computer Science, or a related field. Masters degree preferred. 5+ years of experience in data analysis, business intelligence, or a related role. Proficiency in SQL, Python, R, or other data analysis tools. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with a keen eye for detail. Knowledge of statistical methods and data modeling. Excellent communication and presentation skills. Ability to handle multiple projects and prioritize effectively.  

As a Data Analytics Intmd Analyst at Citigroup, your role involves dealing with most problems independently and integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices. You must have a good understanding of how data analytics teams and areas integrate with others to accomplish objectives. Your analytical thinking and knowledge of data analysis tools and methodologies will be crucial in making accurate judgments and recommendations based on factual information, with a focus on local operations and broader impacts. Your communication and diplomacy skills will be essential in exchanging potentially complex/sensitive information and ensuring the quality and timeliness of service provided to the team and group. **Responsibilities:** - Integrate in-depth data analysis knowledge with a solid understanding of industry standards and practices. - Demonstrate a good understanding of how data analytics teams and area integrate with others in accomplishing objectives. - Apply project management skills. - Apply analytical thinking and knowledge of data analysis tools and methodologies. - Analyze factual information to make accurate judgments and recommendations focused on local operations and broader impacts. - Apply professional judgment when interpreting data and results, breaking down information in a systematic and communicable manner. - Employ developed communication and diplomacy skills to exchange potentially complex/sensitive information. - Demonstrate attention to quality and timeliness of service to ensure the effectiveness of the team and group. - Provide informal guidance or on-the-job training to new team members. - Appropriately assess risk when making business decisions, considering the firm's reputation and compliance with applicable laws, rules, and regulations. **Qualifications:** - 2-5 years of relevant experience - Knowledge of tools for statistical modeling of large data sets - Ability to effectively use complex analytical, interpretive, and problem-solving techniques - Demonstrated interpersonal, verbal, and written communication skills **Education:** - Bachelors/University degree or equivalent experience This job description provides a high-level overview of the types of work performed. Other job-related duties may be assigned as required.,

As an Intern - Data Analysis at Dun & Bradstreet, you will be part of a global team dedicated to unlocking the power of data through analytics, creating a better tomorrow. Your role will involve performing data analysis, identifying data anomalies, and summarizing data using modern data visualization tools. Additionally, you will build proof-of-concepts, fulfill customer analysis requirements, and support customer delivery throughout the project lifecycle. Key Responsibilities: - Perform data analysis, identify data anomalies, and summarize data using modern data visualization tools - Build proof-of-concepts and fulfill customer analysis requirements using D&B data, analytics functions, and other partner or external data sources - Support customer delivery throughout the project lifecycle, from initiation to successful closure - Work with large datasets using data processing platforms, apply ETL techniques, and adhere to data management principles Key Requirements: - B.E/B.Tech graduate or any relevant graduate degree in a technical field - Technical background in data analysis and data science, along with business analysis skills - Technical skills should include Python and PySpark, with added advantage if experienced or trained on the Databricks platform - Basic proficiency in Microsoft Excel - Preferred knowledge of cloud platforms such as AWS, GCP, or Azure - Excellent business communication skills Please note that all Dun & Bradstreet job postings can be found at dnb.com/careers and jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.,

In this role within Audit Strategy, Innovation & Practices (ASIP) supporting the Internal Audit Department, you will be part of the Reporting & Analysis team responsible for collecting, validating, and analyzing audit-related data. Your main focus will be on producing high-quality reports and insights to deliver results for senior management, the Audit Committee, and regulators. This role offers you the opportunity to build expertise, shape reporting processes, and contribute to performance measurement within the department. **Key Responsibilities:** - Produce accurate and timely management, Board, and regulatory reports using Excel and PowerPoint. - Understand data definitions, lineage, and methodology to interpret metrics correctly. - Perform detailed data validation, reconciliation, and quality checks to ensure accuracy. - Identify and investigate anomalies in data, analyze root causes, and resolve issues. - Analyze trends and key indicators to develop meaningful commentary and insights. - Support testing and validation of dashboards, enhancements, and reporting tools. - Contribute to process improvements and automation opportunities using tools such as Alteryx, Tableau, or QlikSense. - Partner with teams across Internal Audit and Technology to understand data flows and dependencies. - Ensure alignment of metrics across reports and communicate findings clearly to stakeholders. - Take ownership of deliverables, ensuring thorough self-review and adherence to quality standards. - Proactively identify and implement efficiency, sustainability, and enhanced controls. **Qualifications Required:** - Bachelor's degree and 6+ years of relevant experience in reporting, data analysis, business analysis, or risk/control-related functions. - Strong proficiency in Excel and PowerPoint for data analysis and presentation, with working knowledge of SQL queries. - Experience in data validation, reconciliation, and quality assurance. - Ability to understand data lineage, definitions, and methodologies for accurate reporting. - Strong analytical skills to identify trends, anomalies, and drivers of change. - Excellent written and verbal communication skills to translate technical information into clear insights. - Proven ability to collaborate across teams while managing deliverables and deadlines independently. - High attention to detail and commitment to producing consistent, high-quality outputs. - Experience supporting UAT or working with technology teams on enhancements. - Demonstrated ownership, initiative, and problem-solving orientation. The company prefers candidates with experience in data management or visualization tools, Internal Audit, Risk, or Controls reporting, root cause analysis for data issues, reporting automation, process-improvement initiatives, documenting processes, controls, or data logic, and applying a product mindset to reporting and dashboards.,

Role Overview: As a Data Engineer, your role will involve designing, developing, and maintaining data pipelines and ETL/ELT workflows using GCP-native tools and services. You will be responsible for building and optimizing data warehouses using Snowflake and writing complex SQL queries for data transformation, analysis, and reporting. Collaboration with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions will be a key part of your responsibilities. Additionally, you will be implementing data governance, security, and monitoring best practices across GCP projects and tuning queries to optimize performance of large-scale datasets. Automation of workflows using Cloud Composer (Airflow) or similar orchestration tools will also be a part of your tasks. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services. - Build and optimize data warehouses using Snowflake. - Write complex and efficient SQL queries for data transformation, analysis, and reporting. - Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions. - Implement data governance, security, and monitoring best practices across GCP projects. - Tune queries and optimize performance of large-scale datasets. - Automate workflows using Cloud Composer (Airflow) or similar orchestration tools. Qualification Required: - 3+ years of experience in a data engineering or data platform role. - Strong hands-on experience with Snowflake data warehousing. - Expert-level skills in SQL, able to write optimized, scalable, and complex queries. - Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse. - Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion. - Experience in Python or similar scripting language for data engineering tasks. - Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.,

As an Associate Data Scientist at V4C.ai within the Astros division, you will be an integral part of our dynamic team, contributing to projects that push the boundaries of innovation and data analysis in the Astros domain. **Key Responsibilities:** - Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis - Assist in the development and implementation of machine learning models and algorithms - Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects - Collaborate with team members on various data science projects, contributing your fresh perspective and ideas - Participate in training sessions and workshops to further enhance your technical knowledge and skills - Provide support in documenting findings and presenting them to the team **Requirements:** - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - Knowledge of programming languages, particularly Python or R, is essential - Familiarity with data manipulation libraries such as Pandas and NumPy - Basic understanding of machine learning principles and practices - Possess strong analytical skills with a focus on detail and accuracy - A proactive attitude towards learning and professional development - Good communication skills and the eagerness to collaborate within a team environment - Willingness to work from our Pune office for hands-on training and experience If you join us, you will receive benefits such as Private Health Insurance, Paid Time Off, Work From Home option after 3 to 6 months of training in the Pune office, and access to Training & Development opportunities.,

As a Data Analyst in the banking industry, you will be responsible for collecting, cleaning, and analyzing large datasets from multiple banking systems. You will play a crucial role in developing dashboards and reports to track performance metrics such as customer trends, loan portfolio, deposits, and transactions. Your keen eye for detail will help you identify patterns, trends, and anomalies in financial and operational data, allowing you to provide actionable insights to drive business decisions. Your role will involve collaborating closely with business teams to understand data requirements and design effective solutions. You will leverage your skills in statistical analysis to prepare detailed reports for management and regulatory purposes. Additionally, you will support business forecasting, credit risk assessment, and customer behavior analysis to contribute to the overall success of the organization. Ensuring accuracy, consistency, and data integrity across banking databases will be a key aspect of your responsibilities. You will work alongside IT and compliance teams to maintain data governance and security standards, playing a vital role in safeguarding sensitive information. As part of process improvement initiatives, you will automate recurring reports and implement efficiency-enhancing measures to streamline operations. Qualifications Required: - Bachelor's degree in a relevant field such as Data Science, Statistics, Economics, or Finance - Proficiency in data analysis tools and software such as SQL, Python, R, or Tableau - Strong analytical skills with the ability to interpret complex data sets - Experience in financial services or banking industry is preferred - Excellent communication and collaboration skills to work effectively with cross-functional teams This job offers a challenging and rewarding opportunity to work at the intersection of data analytics and banking, where your contributions will directly impact strategic decision-making processes.,

Role Overview: As a Data Mining & Research Specialist at ISMG, you will play a crucial role in contributing to various data projects and ensuring the accuracy and currency of relevant information within the ISMG subscriber base. Your research efforts will be integral in maintaining standardized and customized data sets, thus supporting ISMG's customer base and internal business needs. Key Responsibilities: - Execute research projects involving standardized and customized data sets to cater to ISMG's customer base and internal business needs. - Contribute to the management of large data sets to ensure accuracy, integrity, and timely delivery of projects. - Collaborate with internal stakeholders, provide progress updates, and address challenges or potential roadblocks promptly. Qualifications Required: - Bachelor's Degree in Business, Marketing, Statistics, or related field preferred. - Minimum of one year of professional experience in Market Research fields. - Advanced expertise in Excel for handling complex data analysis tasks. - Proficiency in Microsoft Word and PowerPoint, ability to learn and adapt to other data and marketing programs quickly. - Preference for data manipulation or quantitative research experience; strong desire to learn if no prior experience. - Exposure to hierarchical databases and data software packages is advantageous. - Knowledge of Power BI is a significant advantage. - Excellent written and verbal communication skills, strong presentation abilities. - Exceptional time management and project management skills. (Note: Additional details such as the company's location and in-office presence requirements have been omitted from the job description.),