... models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization ...
We are currently seeking a Lead Data Analyst , reporting directly to BI & Data Analytics Manager to join the team based in Noida. The Lead Data Analyst will work closely with the business and has a dynamic role that bridges technical data analysis with strategic business insights. The Lead Data Analyst should possess quick ...
8+ years of experience in Teradata, Python, and Julia. Strong experience in data engineering and data analytics. Good knowledge of Provider domain. Experience working with Teradata databases. Strong Python skills for data processing and automation. Experience using Julia for analytics and modeling. Knowledge of building ...
... with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. The Data Analyst is responsible for receiving, vetting, and fulfilling data and reporting requests from clients and internal teams. This role ensures the accuracy, confidentiality, and usability of data delivered to stakeholders and supports ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... – Operations / Digitalization / Managing Director's Office Role Purpose The role is responsible for analyzing and transforming operational and manufacturing data into actionable insights. The Data Analyst will develop scalable analytics solutions and dashboards to support data-driven decision-making, improve operational ...
We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyze consumer ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...
... BI reports, dashboards, and user access. Extract and share data from SAP (e.g., sales reports, customer details) in Excel format. Prepare and validate Excel data for incentive calculations and other business requirements. Ensure data accuracy and consistency across reports. Support ongoing data-driven initiatives and process ...
... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)
... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong ...
... ongoing optimization.- Strategic Leadership : Define the data science roadmap, align initiatives with business priorities, and influence senior leadership through data-driven insights.- Team & Culture Building : Lead, grow, and inspire a high-performing team of data scientists, fostering innovation, collaboration, and continuous ...
... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... data reports, dashboards, and visualizations to support strategic insights. Reporting Environment Management: Design and maintain reporting systems including data sources, metadata, and security. Data Warehouse Support: Identify, revise, and implement reporting requirements to enhance data warehouse efficiency. Data Integrity ...