... requirements. Facilitate workshops and training sessions to improve data literacy and empower users to utilize BI tools effectively. Data Engineering Expertise: Utilise SQL for data engineering tasks, ensuring data is clean, accurate, and ready for analysis. Develop ETL processes to automate data extraction, transformation, and loading ...
... relational databases such as PostGres, MariaDB and nonrelational databases like MongoDB. Expertise in database design, normalization, and optimization. Knowledge of SQL and query optimization. Experience with database security and access control. Proven track record of managing and maintaining large- scale databases. Experience ...
... transformation https://jobeax.com/link/LsX0MHwADPrlj8n9 technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloging Excellent communication ...
... Ability to assess existing Tableau dashboards and translate their business logic, calculations, data models, and visualizations into Power BI. Proficiency in SQL for data extraction, transformation, validation, and analysis. - Ability to perform QC checks and validation on dashboards and reports. - Experience preparing ...
... structured, analysis-ready pipelines for process-mining and machine-learning applications. Collaborate with senior data scientists, data engineers, and software developers to embed models into Shell's process-mining platform for scalable, real-time analytics. Develop algorithms that combine process-mining insights with AI/ML ...
... required. Experience partnering directly with portfolio managers and traders. At least 5 years of professional experience with Python, Unix/Linux shell scripting, and SQL. Familiarity with DevOps tools and technologies, such as Docker, Kubernetes, Kafka, Maven, and AWS, is preferred. Experience supporting enterprise risk applications ...
... (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details ...
... requirements Experience: 8+ years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: ...
... intelligence, and data-driven decision support across enterprise processes. The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI-powered solutions, and deploy scalable models into production. The role requires a ...
... offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine learning tools such as Scikit-Learn, Pytorch/Tensorflow Experience ...
... of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals in statistics and machine learning. - Experience building dashboards, performance reports, or measurement frameworks that stakeholders ...
... stakeholders to drive data-driven decision-making. Design, develop, and maintain dashboards and reports using Power BI or Tableau Write efficient and optimized SQL queries for data extraction and transformation Use Python for data analysis, automation, and advanced analytics tasks Ensure data accuracy, integrity, and consistency ...
... lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks + Spark experience in production (debugging, performance tuning, ...
... record in managing deliveries of advanced analytical solutions in an agile & iterative model. - Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through ...
... defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings ...
Role Overview : We are seeking a seasoned Data/SQL Business Analyst to join our high-growth team in Delhi NCR/Gurgaon. In this role, you will serve as the bridge between complex raw data and actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. ...
... and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that directly support business growth, demand planning and supply-chain https://jobeax.com/link/nEC7Pw3JSppzjDvo RESPONSIBILITIES ...
... https://jobeax.com/link/0tczEVIPDdr4h8mr Have :- Strong experience developing data integration, ETL/ELT, batch processing, and scheduled data delivery solutions.- Proficiency in SQL and experience working with enterprise data sources, file-based integrations, and analytics platforms.- Ability to analyze source-system structures and implement ...
... pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and ...