Data Analyst
Marathahalli, Bangalore
3 years
Business AnalysisData AnalysisBusiness IntelligenceInsurance Domain KnowledgeData WarehousingFinancial DataReporting systemCross-Functional CollaborationBusiness RequirementsComplex Dataset AnalysisTroubleshooting (Problem Solving)Problem SolvingData ExtractionCloud StorageUnstructured DataSQL QueryingStakeholder ManagementETL TestingData IntegrationDatabase Management SystemsData WarehousingKey Performance Indicators (KPIs)
Job Description:
About the job
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Analyst to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).
- 3+ years of experience in business analysis, data analysis, or business intelligence, with a focus on Insurance
- Proven experience in data warehousing, financial data analysis, and reporting systems.
- Experience working with cross-functional teams to translate business needs into data-driven solutions.
- Expert Business Requirements Translator! Able to understand sometime vague or ill-defined business requirements and develop these into clear technical requirements for delivery
- Data savvy and experienced working with complex data sets
- Strong troubleshooting and problem-solving skills
- Ability to extract data across databases, cloud storages, and separate files filled with unstructured data
- An inquisitive nature, a drive to understand why things are the way they are, and curious enough to question unproven beliefs and assumptions.
- Strong written and verbal communication skills with the ability to listen, present and communicate solutions clearly and concisely with technical and non-technical audiences.
- Strong proficiency in SQL for querying and manipulating financial data.
- Excellent Stakeholder Management.
- Familiarity with ETL processes and data integration tools.
- Experience with database management systems and cloud-based data warehousing platforms (e.g. Snowflake).
- Solid understanding of financial KPIs and metrics (e.g., P&L, balance sheets, cash flow, budgeting).
