Senior Data Analyst-I

Role Value PropositionData Analyst plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical, SQL, Big Data and Cloud expertise. This role mentors Data Analysts. It is an individual contributor role,  expected to solve wide ranging business problems
Experience8-10+ years of relevant experience
EducationBachelors degree in computer science, information technology or equivalent educational qualification
Responsibilities• Understand business requirements to author functional requirements documents to develop and deliver production grade data and analytics solutions.
• Analyze data in the context of business processes, business and functional requirements
• Provide relevant inputs  to data architecture, engineering, governance, modeling, quality and data science teams
• Validate the data loaded by engineering team
• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, BI & insights)
• Mentor Data Analysts
• Independently lead design, solutioning & estimations
Technical Skills
• SQL, data profiling, data validation, data storage and retrieval principles for Azure, Hadoop, document databases and RDMBS databases
• Datawarehouses, data marts, data lakes
   Medallion architecture
 • Communication and structured problem-solving skills.,
• Domain based design
• Mentorship experience
• Storytelling skills , Partner & Stakeholder engagement experience
Good To haveData modeling tools such as Erwin
Databricks, serverless SQL
Data Governance, Data Quality
Exposure to Gen AI technology and tools
Banking Financial Services and Insurance domain knowledge