1 Data Extraction Jobs nearby Mysore

You will be responsible for gathering SAP requirements and specifications, analyzing, designing, documenting, coding, testing, configuring, deploying, implementing, and maintaining systems & applications. **Key Responsibilities:** - ABAP experience in HR, FI modules. - Exposure to S/4HANA. - Worked on the integration between SAP and non-SAP systems. - Worked on at least two implementation and support projects. - Good experience using ABAP/4 Workbench tools, reporting, customization, conversion, and data extraction. - Should have excellent technical skills in Reports, Forms, Interfaces, Conversions, Enhancements, etc. - Knowledge of at least any of the niche skills like Workflow, Adobe Forms, etc. - Should be well versed with Object-Oriented (OO) concepts of SAP ABAP. - Excellent knowledge of ABAP Debugging, SAP Code Inspector & other SAP standard tools with respect to development. **Qualifications Required:** - ABAP experience in HR, FI modules. - Exposure to S/4HANA. - Worked on at least two implementation and support projects. - Good experience using ABAP/4 Workbench tools, reporting, customization, conversion, and data extraction. - Should have excellent technical skills in Reports, Forms, Interfaces, Conversions, Enhancements, etc. - Knowledge of at least any of the niche skills like Workflow, Adobe Forms, etc. - Should be well versed with Object-Oriented (OO) concepts of SAP ABAP. - Excellent knowledge of ABAP Debugging, SAP Code Inspector & other SAP standard tools with respect to development.,

As a Snowflake Integration Specialist at our company, you will be responsible for designing, building, and configuring Snowflake integrations to meet business process and application requirements. Your role will involve the following key responsibilities: - Drive discussions with clients and conduct workshops to gather requirements effectively. - Lead project integration deliverables and collaborate with other teams to ensure seamless integration. - Analyze the current landscape and redesign Snowflake integrations based on changing requirements. - Demonstrate expertise in Snowflake Insert, Update, and Merge commands. - Have a deep understanding of Snowflake Stages, including User Stage, Table Stage, Named Stage, and External Stage. - Exhibit proficiency in working with different types of Snowflake tables and views. - Create External tables and leverage integration experience to build Snowflake queries for data extraction from SAP ECC and S4 applications to a planning system. - Understand the touchpoints with Kinaxis and Kinaxis data model to facilitate data integration between SAP and Kinaxis. About Us: Bristlecone is the leading provider of AI-powered application transformation services for the connected supply chain. We empower our customers with speed, visibility, automation, and resiliency to thrive on change. Our transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement, and Digitalization are positioned around key industry pillars and delivered through a comprehensive portfolio of services spanning digital strategy, design, build, and implementation across a range of technology platforms. Bristlecone is headquartered in San Jose, California, with locations across North America, Europe, and Asia, and over 2,500 consultants. Bristlecone is part of the $19.4 billion Mahindra Group. Information Security Responsibilities: - Understand and adhere to Information Security policies, guidelines, and procedures to protect organizational data and Information System. - Participate in information security training and apply best practices while handling information. - Report any suspected security breaches or policy violations to the InfoSec team or appropriate authority (CISO). - Comply with additional information security responsibilities associated with the assigned job role.,

As a Data Analyst Intern at Airbus India in Bangalore, you will be part of the Digital Workplace (IIDW) department responsible for Employee Collaboration, Devices & Services, and Operational Performance. Your main responsibilities will include: - Performing data analysis to identify key metrics, trends, and performance bottlenecks. - Providing timely updates to stakeholders. - Demonstrating good knowledge of coding languages and automations. - Writing and optimizing SQL queries and Python scripts for efficient data extraction and transformation. - Collaborating with cross-functional teams to understand their data requirements and provide analytical support. - Presenting data-driven insights and recommendations to stakeholders clearly and concisely. - Continuously learning and applying new data analysis techniques and tools. This internship will help you develop skills in data analysis, designing interactive dashboards, and collaborating with cross-functional teams and stakeholder management. You are expected to have technical skills such as hands-on experience with data visualization tools like Looker Studio, Google Sheets, Tableau, proficiency in Python and SQL, as well as soft skills like analytical reasoning, communication, teamwork, attention to detail, and a willingness to learn new technologies. Fluency in English is required. Airbus India Private Limited offers this internship opportunity without any monetary exchange in the recruitment process. They are committed to equal opportunities and flexible working arrangements to support innovative thinking.,

As a Data Analyst/Business Analyst at Sivarsa, you will play a vital role in driving business insights and process improvements within a product-based company in the e-commerce domain. Your expertise in data visualization, data extraction, data mapping, and stakeholder management will be key to providing actionable insights and recommendations. Key Responsibilities: - Conduct meetings and interviews with business stakeholders to capture detailed requirements. - Document requirements specifications and user stories while prioritizing needs across projects. - Perform solutions analysis to recommend technology options and vendors. - Analyze current business processes to identify inefficiencies using techniques such as flowcharts. - Develop detailed process documentation and propose actionable solutions for process optimization. - Create business cases, cost/benefit analyses, and support solution design. - Extract, map, and analyze data to generate insightful reports and presentations. - Utilize data visualization tools such as Tableau or Power BI to deliver clear and impactful insights. - Support the development and maintenance of dashboards that inform strategic decision-making. - Assist in managing project life cycles from initiation to closure, ensuring timely delivery of solutions. - Coordinate between project teams, sponsors, and various stakeholders to ensure alignment and clarity. - Facilitate communication across different teams to streamline product delivery schedules. Qualifications Required: - Proven experience in data visualization, data extraction, and data mapping. - Proficient in tools such as Tableau or Power BI. - Strong programming and analytical skills in Python and SQL. - Excellent stakeholder management skills with a demonstrated ability to gather and document requirements effectively. - Prior experience working in a product-based company within the e-commerce domain is essential. If you are a driven professional with 6+ years of experience and ready to take on a leadership role in data and business analytics within a thriving e-commerce environment, we encourage you to apply immediately.,

As an Analytics Professional at Tredence, you will be part of a global analytics services and solutions company with expertise in Advanced analytics, Data Management, Data Visualization, Big Data, and Machine Learning. Your role will involve partnering with various stakeholders including product, marketing, digital, e-commerce, and customer teams to understand business objectives and translate them into analytical requirements at Fortune 100 Retailers. Key Responsibilities: - Partner with cross-functional stakeholders to translate business objectives into analytical requirements - Gather requirements and understand underlying business problems, serving as the bridge between business needs and analytical solutions - Collaborate with leadership and SMEs to create innovative solutions for business challenges using retail data and analytics - Utilize customer, product, orders, digital clickstream, merchandising, and marketing data to provide effective solutions - Apply advanced analytics and machine learning techniques such as segmentation, AB testing, recommendation engines, and propensity models to drive growth throughout the customer lifecycle Qualifications Required: - Minimum 5+ years of experience in analytics across retail, e-commerce, customer/marketing, product, or digital analytics - Strong expertise in measuring campaign effectiveness, driving test-and-learn programs, and executing A/B testing - Advanced proficiency in SQL and Tableau for data extraction, analysis, and visualization - Proven problem-solving and organizational skills to manage complex projects end-to-end - Excellent communication skills to translate technical insights into clear narratives for stakeholders At Tredence, you will have the opportunity to work with a global team and leverage your skills in analytics to drive impactful solutions for Fortune 100 Retailers.,

As a Data Analyst / Business Intelligence / Data Scientist at our company located in Bangalore, you will play a critical role in understanding business needs, improving processes, facilitating communication, and ensuring that projects align with organizational objectives. Your versatile skill set will make you an invaluable asset in today's dynamic business environment. Key Responsibilities: - Conduct meetings and interviews to gather requirements from business stakeholders - Perform process analysis and documentation through methods like flowcharts - Identify process inefficiencies and recommend solutions - Research and evaluate software, tools, and automation options - Create detailed requirements documentation and specifications - Support solution design, testing, and implementation - Prepare reports, presentations, and business cases - Manage projects and product delivery schedules - Communicate effectively with various stakeholders and team members Qualifications Required: - 5+ years of experience in Data Visualization, Data Extraction, Data Mapping, and handling Stakeholder Management - Proficiency in Tableau, Power BI, Python, and SQL - Experience working in a product-based company within the e-commerce domain is preferred Please note, this is a full-time position located in Bangalore with a 5-day working week. Immediate joiners are required for this role.,

You will be joining as a Data Scientist at Google, where you will be utilizing your quantitative skills to provide support, market understanding, and strategic insights to partners across the organization. Your role will involve serving as an analytics expert, using data to drive better decision-making. Your responsibilities will include managing the Bangalore Center of Excellence for Cloud Supply Chain and Operations, leading programs in ML/Statistical models development, and providing prescriptive insights. You will also guide problem framing, metrics development, data manipulation, visualization, and storytelling for the team. Additionally, you will contribute thought leadership by suggesting new analyses, infrastructure, or experiments to drive business improvements. Your role will involve overseeing cross-functional and cross-organizational projects, developing process improvements, and defining operational goals and objectives. **Key Responsibilities:** - Manage Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science, and Product team. - Lead programs in developing ML/Statistical models and crafting prescriptive insights. - Guide problem framing, metrics development, data manipulation, visualization, and storytelling. - Provide thought leadership through proactive contributions to drive business improvements. - Oversee cross-functional and cross-organizational project timelines and define operational goals. **Qualifications Required:** - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree). - 8 years of experience with data science and analytics in a technology or supply chain company. - Experience in data model and data insight transformation.,

In this internship role with a full-time opportunity, you will be working as a Data Engineer specializing in Web Data Scraping at Stylumia, located in Bengaluru with some work-from-home flexibility. Your key responsibilities will include: - Developing and maintaining web scraping scripts using tools like Scrapy, BeautifulSoup, and Puppeteer/Playwright. - Working with SQL/NoSQL databases to store, process, and query data. - Optimizing scrapers for efficiency, reliability, and scale. - Ensuring data accuracy, validation, and cleaning. - Collaborating with engineering and data teams to integrate scraped data into downstream systems. - Exploring and implementing the latest scraping tools and techniques. To be successful in this role, we are looking for candidates with the following qualifications: - Strong programming skills in Python (Node.js is a plus). - Experience with Scrapy and other scraping frameworks. - Familiarity with SQL, Git, Redis, and Elasticsearch. - Problem-solving mindset and attention to detail. - Good communication and teamwork skills. - Currently pursuing or completed a degree in CS, Data Science, or related fields. Nice to have qualifications include: - Experience with distributed scraping and parallel processing. - Knowledge of Docker and cloud platforms (AWS/GCP/Azure). - Exposure to data preprocessing and visualization tools. At Stylumia, you will have the opportunity to work on real-world, large-scale data projects, receive mentorship from experienced data engineers, and gain hands-on exposure to modern data tools and pipelines.,

As a Data Quality Analyst at 4CRisk.ai Software Private Ltd. in Bangalore, India, you will play a crucial role in utilizing regulatory data to drive product decisions. By collaborating with cross-functional teams, your expertise will be instrumental in delivering customer insights and shaping the products offered to our customers. Your work will involve leveraging rich user data through cutting-edge technology to transform your insights into tangible products. Key Responsibilities: - Perform statistical tests on large datasets to assess data quality and integrity. - Evaluate system performance and design to ensure data quality standards are met. - Collaborate with AI and Data Engineers to enhance data collection and storage processes. - Run data queries to identify quality issues and data exceptions, as well as clean the data. - Gather data from primary and secondary sources to identify trends and interpret them. - Report data analysis findings to management for informed business decisions and prioritization of information system needs. - Document processes and maintain data records following best practices in data analysis. - Stay updated on developments and trends in data quality analysis. Required Experience/Skills: - Must have experience in data quality analysis including root-cause analysis and data slicing. - Design, build, and execute data quality plans for complex data management solutions on modern data processing frameworks. - Understand data lineage and prepare validation cases to verify data at each stage of the processing journey. - Develop dataset creation scripts for verification at extraction, transformation, and loading phases. - Support AI and Product Management teams by contributing to the development of data validation strategies. - Document issues and collaborate with data engineers to maintain quality standards. - Efficiently capture business requirements and translate them into functional specifications. - Experience in Data Profiling, Data Modeling, and Data Validation Testing is a plus. - 1 to 3+ years of proven experience in a similar role. - Excellent presentation and communication skills in English, both oral and written, for effective interaction with management and customers. - Ability to work collaboratively with team members globally and across departments. Location: - Bangalore, India,

Role Overview: As a Business Analyst specializing in Data Strategy, you will play a crucial role in leading and supporting data-driven digital transformation initiatives within the organization. Your expertise in IT business analysis and advanced data analytics will be instrumental in optimizing business processes and outcomes. Acting as a bridge between technical teams and business stakeholders, you will ensure that digital transformation strategies are effectively aligned with business goals. This hands-on role requires you to be a critical thinker, team player, exceptionally curious, self-starter, and possess impeccable attention to detail to thrive in a fast-paced environment. Key Responsibilities: - Collaborate with stakeholders to understand business needs and translate them into functional and technical requirements. - Define KPIs, design dashboards, and extract actionable insights from structured and unstructured data in collaboration with data teams. - Collect, clean, and validate large datasets from multiple sources to ensure data accuracy and reliability. - Perform statistical analysis to identify trends, correlations, and outliers supporting decision-making. - Build interactive dashboards and reports using tools like Power BI, Tableau, or Excel. - Write and optimize SQL queries for efficient data extraction and manipulation. - Translate data insights into actionable recommendations by collaborating with engineering, operations, and business teams. - Support automation of data collection and reporting processes using Python, R, or workflow tools. - Improve data pipeline efficiency and data governance in collaboration with engineering teams. - Present analytical findings and visualizations to stakeholders through clear, structured storytelling. - Stay updated with emerging analytics tools, AI trends, and visualization best practices. - Identify opportunities to apply AI for enhancing operational efficiency, customer experience, and decision-making. - Participate in enterprise data governance activities to ensure alignment, evolution, and adherence to standards across data sets. - Support data owners and 3rd party data provider partners in executing ongoing data quality processes and cleansing projects. Qualifications Required: - Bachelor's or Master's degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related field. - 5+ years of experience as an IT Business Analyst with a focus on enabling data-driven decision-making. - Hands-on experience with data visualization tools such as Power BI, Tableau, or Excel. - Proficiency in SQL and experience working with relational databases. - Working knowledge of Python or R for statistical analysis and automation. - Exposure to cloud data platforms like AWS, Azure, or Google BigQuery is advantageous. - Strong analytical thinking, problem-solving, and decision-making abilities. - Excellent communication and stakeholder management skills. - Certifications related to AI/ML are preferred. (Note: The job description did not include any additional details about the company.),

As an experienced Sr. Developer with 8 to 12 years of experience, you will be responsible for contributing to enhancing the data infrastructure, ensuring seamless data flow and accessibility, and supporting the Property & Casualty Insurance domain. Your key responsibilities will include: - Leading the design, development, and implementation of data governance frameworks to ensure data quality and compliance. - Overseeing Metadata Management processes to maintain accurate and consistent metadata across systems. - Providing expertise in Data Catalog and Manage Metadata Service to enhance data discoverability and usability. - Implementing Cloud Data Profiling to assess data quality and identify areas for improvement. - Developing and managing Cross-System Lineage to ensure data traceability and transparency. - Utilizing AWS and Azure platforms to optimize data storage and processing capabilities. - Integrating Snowflake solutions to enhance data warehousing and analytics capabilities. - Designing and implementing ETL processes to ensure efficient data extraction, transformation, and loading. - Utilizing SQL for data querying and manipulation to support business intelligence and reporting needs. - Collaborating with cross-functional teams to align data management strategies with business objectives. - Ensuring data security and privacy compliance in all data management activities. - Providing technical guidance and support to team members to foster a collaborative and innovative work environment. - Contributing to the continuous improvement of data management practices to drive organizational success. Qualifications: - Strong understanding of data governance principles and practices. - Expertise in Metadata Management and related tools. - Experience with Data Catalog and Manage Metadata Service for data management. - Proficiency in Cloud Data Profiling and Cross-System Lineage techniques. - Proficiency in AWS, Azure, and Snowflake platforms for data solutions. - Solid understanding of ETL processes and SQL for data manipulation. - Experience in the Property & Casualty Insurance domain is a plus.,

As a Data Modeler at Quantiphi, you will play a crucial role in designing and implementing data models for various applications such as Data Warehouse, Data Lake, DataMart, OLTP, and OLAP systems. Your responsibilities will include: - Utilizing your strong Conceptual, Logical, and Physical Data Modeling skills to create data mapping documents, write functional specifications, and design Entity-Relational, Data Vault, and Dimensional Data models. - Collaborating with the Data Management team to perform Data Extraction, Data Analysis, Data Cleansing, and Data Profiling using tools like Erwin, ER/Studio, and Informatica Analyst. - Recommending the best modeling approach to clients based on their requirements and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data Dictionaries, and profiling data sets to generate insights. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining ingestion logic, ingestion frequency, and data consumption patterns. - Working with the Quality Engineering team to devise the right testing strategy and drive automation in modeling activities. - Collaborating with stakeholders, architects, and analysts to design and develop the next-generation data platform. - Managing data modeling repository, supporting model-driven development, and defining/governing data modeling/design standards and best practices. In addition to the above responsibilities, you will need to possess the following required skills: - 10+ years of experience in hybrid data environments involving distributed and relational database technologies like Oracle, IMB DB2, and GCP. - Thorough understanding of data warehousing principles, architecture, and implementation in complex environments. - Expertise in OLTP, OLAP systems, Data Analysis, ETL tools, and data ingestion frameworks. - Experience in designing complex Dimensional data models, testing methodologies, and user acceptance testing. - Familiarity with cloud platforms such as AWS, Azure, GCP, Data Quality, Data Governance, and Industry Data Models. - Leadership experience with large teams, handling large datasets, agile methodology, and excellent communication skills. - Exposure to Data Modeling Tools like Erwin, Power Designer, ER/Studio, Enterprise Architect, and MagicDraw. Your role at Quantiphi will involve not only designing data models but also collaborating with various teams, driving projects to completion, and ensuring data integrity and governance. Your expertise will be instrumental in shaping the data architecture and analytics solutions for the company's clients.,

Job Description: You have an opportunity to work remotely as a Data Engineer for Forbes Advisor, a part of the Forbes Marketplace. As a Data Engineer, you will be responsible for assembling large, complex data, identifying and implementing internal process improvements, and working with stakeholders to meet data-related technical needs. Responsibilities: - Assemble large, complex data that meet functional/non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc. - Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services. - Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs. Requirements: - Bachelors degree with Minimum 1.5+ years of experience working in globally distributed teams successfully - Must have experience working on Python and data handling frameworks (spark, beam, etc) - Apply experience with cloud storage and computing for data pipelines in GCP (GCS, BQ, composer, etc) - Write pipelines in Airflow to orchestrate data pipelines - Experience handling data from 3rd party providers is a great plus: Google Analytics, Google Ads etc. - Experience in manipulating, processing and extracting value from large disconnected datasets. - Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations) - Basic knowledge on dbt is a good to have - Knowledge on data privacy and security - Excellent verbal and written communication skills Perks: - Monthly long weekends every third Friday off - Wellness reimbursement to support your health and balance - Paid parental leave - Remote-first with flexibility and trust - Work with a world-class data and marketing team inside a globally recognized brand To apply for this opportunity: Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview!,

As a Data Extraction consultant on a Contract Basis for 6 months, your role will involve extracting data from various systems into Workday standard templates. Your responsibilities will include: - Utilizing your 4+ years of experience in Data Extraction to extract data from different systems into Workday standard templates. - Writing SQL queries and developing automation tools to automate the extraction process. - Demonstrating hands-on experience in building automations or programming skills in areas such as SQL. - Building and testing workflows in KNIME for data automation. Prior knowledge of KNIME is advantageous but not mandatory. - Familiarity with similar tools like Alteryx will also be considered for the role. - Using automation to ensure that data from various systems is in the correct format for migration to Workday. To qualify for this role, you should possess the following skills: - Minimum of 4 years of experience in Data Extraction. - Proficiency in writing SQL queries and building automation tools. - Experience in working with tools like KNIME or Alteryx would be beneficial. If you are interested in this opportunity, please share your CV with aiswarya.r@placeelements.com. This position is available for Full-time and Contractual/Temporary job types with a contract length of 6 months. The work location is in person in Bangalore/Hyderabad, operating in the Europe Timezone (Netherlands).,

As a Sr. Technical Manager specializing in Web Data & Analytics, your role will involve providing strategic guidance, technical direction, and actionable insights to drive business decisions. You will excel in data implementation best practices, collaborate effectively across teams in a global environment, and possess strong communication and execution skills. **Key Responsibilities:** - Lead and mentor the Web Data & Analytics team, ensuring best practices in data collection, governance, implementation, tracking, and reporting. - Collaborate with stakeholders from Web Development, Data Science, and Marketing Leadership to understand analytics needs. - Define and implement a scalable web data architecture for efficient tracking, tagging, and data collection across analytics and marketing platforms. - Provide hands-on expertise in Google Analytics (GA4), Google Tag Manager (GTM), and JavaScript-based tracking solutions. - Develop and enhance a scalable data layer to facilitate standardized and efficient data transmission across platforms. - Track and analyze user journeys, purchase funnels, monitor key performance indicators (KPIs), and deliver insights on user behavior and site performance. - Continuously improve dashboards and data visualizations using Google Data Studio, Tableau, or other BI tools. - Interpret data trends and provide actionable insights to enable data-driven decision-making. - Manage analytics projects, ensuring timely execution of strategic initiatives. - Stay updated with the latest web analytics trends, privacy regulations (GDPR, CCPA), industry standards, and best practices. - Ensure data integrity, accuracy, and consistency across all analytics platforms and reporting tools. - Provide technical guidance and best practices on Google tools for data collection, tagging, and reporting. - Develop compelling data reports, dashboards, and visualizations with supporting narratives for senior leadership presentations. **Qualifications:** - 10+ years of experience in Web Analytics, with at least 2+ years in a managerial or leadership role. - Strong understanding of digital marketing analytics, attribution modeling, and customer segmentation. - Expertise in web data architecture, tracking strategy development, and data layer design. - Hands-on experience with event-driven tracking, structured data layers, and tagging frameworks. - Proven expertise in Google Analytics (GA4), Google Tag Manager (GTM), and web tracking tools such as Amplitude, Glassbox, or similar technologies. - Familiarity with audience segmentation through Customer Data Platforms (CDPs) or Google Analytics. - Deep understanding of JavaScript, HTML, and CSS, with the ability to debug and troubleshoot tracking issues. - Proficiency in SQL and familiarity with scripting languages such as Python or JavaScript for automation. - Experience managing BigQuery or other marketing databases, including data extraction, transformation, and analysis. - Strong analytical skills in integrating user data from multiple sources, user behavior analysis, and A/B testing. - Ability to generate and present actionable insights that drive Conversion Rate Optimization (CRO). - Excellent communication and presentation skills, with the ability to translate complex data into meaningful business insights. - Strong project management skills, with the ability to manage multiple priorities and deadlines. - Bachelor's degree in Marketing, Computer Science, or a related field. - Advanced certification in GA4 is a plus. Feel free to write to rajeshwari.vh@careerxperts.com to get connected! #HighBarOfEntry,

Role Overview: As a Data Engineer, you will be responsible for analyzing methods to improve data reliability and quality. Your role will involve combining raw information from various sources to create consistent and machine-readable formats. Additionally, you will be required to develop and test architectures that facilitate data extraction and transformation for predictive or prescriptive modeling. Key Responsibilities: - Analyze and organize raw data - Build data systems and pipelines - Evaluate business needs and objectives - Interpret trends and patterns - Conduct complex data analysis and report on results - Prepare data for prescriptive and predictive modeling - Build algorithms and prototypes - Combine raw information from different sources - Explore ways to enhance data quality and reliability - Identify opportunities for data acquisition - Develop analytical tools and programs - Collaborate with data scientists and architects on various projects Qualifications Required: - Engineer with a degree in B.E / B.Tech / MCA - Experience in Technology, Data Analytics Activities, Data Mining, Data Integration, Data Processing, Big Data Tools / Systems, BI, DWH, ETL Roles, and Pre Sales Support Activities - Microsoft Certification for performing Data Engineering on Microsoft HD Insight Please note that the job is located in Bengaluru, India.,

As a Process Mining Consultant with a focus on Data Engineering at EY, your role will involve collaborating with clients and internal teams to extract, transform, and analyze process data using tools like Celonis, UiPath Process Mining, and Signavio. Your responsibilities will include managing data extraction, transformation, and loading processes using Python and SQL, developing and optimizing PQL queries within Celonis, visualizing and analyzing end-to-end business processes, creating data models, dashboards, and visualizations, participating in process discovery workshops, and supporting senior consultants with project documentation and technical solution development. **Key Responsibilities:** - Collaborate on client engagements by managing data extraction, transformation, and loading processes using Python and SQL. - Develop and optimize PQL queries within Celonis to build impactful dashboards and process insights. - Apply process mining tools (Celonis, UiPath, Signavio) to visualize and analyze end-to-end business processes. - Create and maintain data models, dashboards, and visualizations to support client decision-making. - Participate in process discovery workshops and contribute to solution design. - Support senior consultants with project documentation, client communication, and technical solution development. **Qualifications Required:** - 2+ years of experience in data engineering, data integration, or analytics roles. - Proficiency in Python for data manipulation, scripting, and automation. - Advanced expertise in SQL for querying relational databases and executing complex data transformations. - Hands-on experience with process mining tools such as Celonis, Aris, or similar platforms; familiarity with PQL (Process Query Language) is a strong advantage. - Solid understanding of process modeling and BPMN concepts. - Exposure to enterprise systems like SAP, Salesforce, and ServiceNow. - Strong analytical mindset with attention to detail and a focus on data quality. - Excellent problem-solving, communication, and presentation skills - both written and verbal. - Ability to thrive in collaborative, fast-paced, and dynamic environments. - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. At EY, you will have a personalized Career Journey and the opportunity to tap into the resources of our career frameworks to better understand your roles, skills, and opportunities. EY is committed to being an inclusive employer, focusing on the wellbeing and career development of our people. If you meet the criteria above and are looking to shape the future with confidence, we encourage you to apply for this Consultant - Business Consulting Risk - Process Mining Consultant - Data Engineering Focus position in Bangalore.,

Role Overview: You will be joining Analytical Wizards, which is part of the Definitive Healthcare family. The company values innovation and maintains an open, friendly culture. As a Data Scientist / Senior Data Scientist, you will be responsible for utilizing your strong coding skills and experience in data handling and wrangling using Python. Your role will involve working on projects related to advanced analytics, report generation, metrics extraction from complex datasets, and solution workbenches. You will be using various quantitative and analytical techniques to assist clients in making informed business decisions. Additionally, you will be participating in sales and marketing projects, focusing on areas such as multi-channel marketing effectiveness, campaign performance analysis, and designing experiments. Key Responsibilities: - Expertise in custom projects centered around prescription and claims-based reporting and modeling - Collaborate with Product and Customer Success teams to provide insightful analyses to clients - Generate deliverables to support customer engagements - Work with team members to implement optimized solutions - Contribute to internal projects and processes - Collaborate with the global team to create deliverables - Mentor junior analysts and promote best practices - Independently scope client requests Qualification Required: - Data Experts with 2 - 5 years of experience specializing in Python - Educational background in Engineering, Operations Research, Econometrics, and/or Statistics - Hands-on experience with Python is mandatory - Strong interpersonal skills, excellent presentation, and communication skills - Proficiency in Microsoft Excel and SQL - Ability to work with large datasets, think creatively, evaluate current processes, and suggest improvements - Knowledge of Pharma datasets is advantageous Additional Company Details: Analytical Wizards, a leading Analytics Software Development company under the Definitive Healthcare family, is headquartered in New Jersey with a software development and delivery center in Bangalore. The company's primary focus is on the Healthcare Industry, where they develop core data science products to help clients extract unique insights from big data. Their products utilize advanced algorithms in artificial intelligence and machine learning and are used by top pharma and biotechnology companies worldwide. Analytical Wizards has been recognized as one of the fastest-growing private companies in the USA. The company's work culture is employee-friendly, collaborative, innovative, fast-paced, and conducive to learning. (Note: The ISMS Responsibilities section has been omitted as it contained specific internal security policies and processes.),

As a Big Data Developer at Unison Consulting Pte Ltd, you will play a crucial role in designing, developing, and maintaining big data solutions to enhance data-driven decision making and analytics capabilities for our clients. You will leverage cutting-edge technologies and platforms to work with large volumes of structured and unstructured data. Responsibilities: - Design, develop, and maintain big data solutions utilizing technologies like Hadoop, HDFS, Spark, and Hive. - Ingest, process, and analyze substantial amounts of structured and unstructured data from various sources. - Develop and optimize ETL processes to facilitate efficient data extraction, transformation, and loading. - Implement data models, schemas, and data governance frameworks to uphold data quality and integrity. - Conduct data exploration, profiling, and validation to identify patterns, trends, and anomalies. - Collaborate closely with data scientists, analysts, and business stakeholders to grasp data requirements and provide actionable insights. - Create and enhance data storage and retrieval strategies, including data partitioning and indexing. - Construct and manage scalable data pipelines and workflows for streamlined data processing. - Perform performance tuning and optimization of big data applications and queries. - Implement and uphold data security measures to safeguard sensitive information. - Maintain comprehensive technical documentation of big data solutions, processes, and procedures. Requirements: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Proven experience as a Big Data Developer with expertise in technologies like Hadoop, Spark, HDFS, and Hive. - Proficiency in programming languages such as Java, Scala, or Python. - Familiarity with ETL tools and processes for data extraction, transformation, and loading. - Strong grasp of big data concepts, architectures, and technologies. - Experience working with SQL and NoSQL databases. - Knowledge of data modeling and schema design. - Exceptional problem-solving and analytical skills. - Effective communication and collaboration skills to engage with cross-functional teams. - Understanding of data security and privacy principles. - Ability to adapt to new technologies and quickly learn in a dynamic environment.,

As a Lead Data Analyst at The Apex Group, you will play a crucial role in shaping data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. You will work closely with senior leadership, cross-functional teams, and stakeholders to identify key business opportunities, provide strategic insights, and guide the organization's data-driven initiatives. **Key Responsibilities:** - Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. - Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. - Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. - Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. - Provide thought leadership and technical expertise in data analysis, statistical modeling, and machine learning techniques to address complex business problems and support strategic decision-making. - Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. - Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. - Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. - Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. - Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. - Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. - Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. **Qualifications Required:** - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. - 10 years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. - Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. - Expert proficiency in SQL for data extraction, manipulation, and analysis. - Advanced programming skills in Python/R for statistical analysis, predictive modeling, and machine learning. - In-depth knowledge of statistical analysis techniques, predictive modeling, and advanced machine learning algorithms. - Strong experience with data visualization tools such as Tableau, Power BI, or similar. - Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. - Solid understanding of database structures, data warehousing concepts, and data governance principles. - Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. - Excellent leadership, strategic thinking, and stakeholder management abilities. - Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. - Proven ability to work independently, manage multiple projects, and prioritize effectively. **Preferred Qualifications:** - Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of big data technologies such as Hadoop, Spark, or similar. - Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn). - Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. - Experience in leading and managing cross-functional teams.,