... 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 ...
... machine learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and deployment, including creation of reusable data schemas ...
... 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 ...
... stored procedures rather than the base application- Develop Host and MHE integrations- Create innovative reports and screen orchestration on top of Scale using SQLMust Have : - Strong Microsoft SQL Server skills, including writing stored procedures, views, functions, triggers, and query optimization- Strong, hands-on .NET ...
... (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: ...
... designing, building, and operating large-scale data pipelines and distributed data systems. Our technology stack includes AWS services, Airflow, Snowflake, MS SQL Server, and .NET. We are looking for someone who is passionate about data and infrastructure, comfortable making and communicating technical decisions, and interested ...
... mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science libraries. Strong experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large ...
... 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 ...
... volume of unstructured signal — millions of agent trajectories (the step-by-step reasoning, actions, and observations of every build), support tickets, HITL feedback, and the natural-language prompts users write. The richest insights in the business are buried in that text, and the person in this role is the one who gets ...
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 ...
... criteria, UAT support). Strong ability to translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). ...