Lead Data Analyst- Business Analyst

Job Description

Roles and Responsibilities ▪ Architect and incorporate an effective Data framework enabling end to end Data Solution. ▪ Understand business needs, use cases and drivers for insights and translate them into detailed technical specifications. ▪ Create epics, features and user stories with clear acceptance criteria for execution and delivery by the data engineering team. ▪ Create scalable and robust data solution designs that incorporate governance, security and compliance aspects. ▪ Develop and maintain logical and physical data models and work closely with data engineers, data analysts and data testers for successful implementation of them. ▪ Analyze, assess and design data integration strategies across various sources and platforms. ▪ Create project plans and timelines while monitoring and mitigating risks and controlling progress of the project. ▪ Conduct daily scrum with the team with a clear focus on meeting sprint goals and timely resolution of impediments. ▪ Act as a liaison between technical teams and business stakeholders and ensure. ▪ Guide and mentor the team for best practices on Data solutions and delivery frameworks. ▪ Actively work, facilitate and support the stakeholders/ clients to complete User Acceptance Testing ensure there is strong adoption of the data products after the launch. ▪ Defining and measuring KPI’s/KRA for feature(s) and ensuring the Data roadmap is verified through measurable outcomes Prerequisites ▪ 5 to 8 years of professional, hands – on experience building end to end Data Solution on Cloud based Data Platforms including 2+ years working in a Data Architect role. ▪ Proven hands – on experience in building pipelines for Data Lakes, Data Lake Houses, Data Warehouses and Data Visualization solutions ▪ Sound understanding of modern Data technologies like Databricks, Snowflake, Data Mesh and Data Fabric. ▪ Experience in managing Data Life Cycle in a fast-paced, Agile / Scrum environment. ▪ Excellent spoken and written communication, receptive listening skills, and ability to convey complex ideas in a clear, concise fashion to technical and non-technical audiences ▪ Ability to collaborate and work effectively with cross functional teams, project stakeholders and end users for quality deliverables withing stipulated timelines ▪ Ability to manage, coach and mentor a team of Data Engineers, Data Testers and Data Analysts. ▪ Strong process driver with expertise in Agile/Scrum framework on tools like Azure DevOps, Jira or Confluence ▪ Exposure to Machine Learning, Gen AI and modern AI based solutions. Experience Technical Lead – Data Analytics with 6+ years of overall experience out of which 2+ years is on Data architecture. Education Engineering degree from a Tier 1 institute preferred. Show more Show less