We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...
... working as a Business Analyst / Business Systems Analyst in enterprise environments.- Strong understanding of data and cloud concepts and experience supporting data platform initiatives.- Hands-on experience defining requirements for Azure-based data platforms.- Good understanding of Azure Data Lake Storage (ADLS), Databricks, ...
... to improve discoverability for data consumers.- Ensure all new data assets and data products entering the domain are governed at the point of onboarding metadata complete before assets go https://jobeax.com/link/u6H1Ul6qnbD9FwNk Products & Marketplace :- Collaborate with data engineers and analysts to define, publish, ...
... analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership experience : Proven experience leading teams of analysts and managing analytical deliverables- People management : Experience ...
... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...
Make your mark by leading global asset pricing controls that help protect clients and the firm, while growing your career in a collaborative team. As a Reference Data Analyst within Instrument, Pricing & Common Reference Data, you deliver daily global asset pricing services and ensure data integrity across multiple business ...
... Technical Skills You have experience in leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling ...
... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital ...
... Experience: 8+ years Location: Hyderabad JobType: full-time We are looking for an experienced and highly skilled Lead Data Scientist with 8–13 years of experience to lead the development and implementation of advanced data science and machine learning solutions. The ideal candidate will have strong expertise in Data Science using ...
... privacy, ethics and compliance requirements and embed them in day-to-day governance practice. Who you’ll work with You will join the Data and AI Foundation and lead the Data Engineering Enablement team within Novo Nordisk Enterprise IT. The team brings together AI, data and software engineers, business analysts, data architects ...
Role Overview The Lead Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands-on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned ...
... comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data management products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; financial management; Perform role of Data Team Lead (DTL). Comply with Good Clinical ...
As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, ...
... solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, ...
... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... explainability- Establish data governance framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external ...
... making AI-ready and critical data sources available for innovation Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted evergreen ...
... when surrounded by high-energy, driven individuals. We're looking for a Data Engineering Lead to architect and own enterprise-scale data platforms end to end — Databricks, cloud-native Lakehouse architecture, and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform ...
... Silver, Gold) on top of a shared data platform (Snowflake, dbt, Fivetran Airflow, AWS), you will lead the evolution of our data models, transforming complex data streams from disparate source systems - many inherited through acquisitions - into unified, high-integrity datasets. At Arrive, data is owned by the domain teams ...