Note: The job is a remote job and is open to candidates in USA. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. The Data Analyst serves as a detailed data specialist responsible for analyzing source systems, defining KPIs, creating data mappings, and supporting data validation, acting as a bridge between business objectives and technical execution teams.
Responsibilities
- Support the Product Owner by translating high-level business requirements and user stories into detailed data and reporting specifications
- Participate in requirement workshops alongside the PO to understand business processes, core metrics, and data expectations
- Provide technical data insights and feasibility assessments to the PO to support backlog refinement
- Analyze source systems and datasets to identify available data elements and business attributes needed to fulfill the PO's user stories
- Assess data quality, completeness, and historical availability
- Perform data profiling and gap analysis to inform reporting feasibility
- Create and maintain detailed Source-to-Target (S2T) mapping documentation
- Define business attribute mappings from source systems to target datasets (e.g., Databricks)
- Document data transformation rules and business definitions
- Work collaboratively with Data Engineers to validate that mapping implementation matches the documented logic
- Support data validation activities across reporting layers (Source vs. Data Platform, Semantic Model, and Report levels)
- Analyze discrepancies, variances, and data issues
- Assist QA teams in reconciliation efforts and support root-cause analysis for data defects
- Prepare detailed data validation criteria and expected results based on the PO's acceptance criteria
- Execute data-focused test cases to ensure accuracy before full business UAT
- Document data defects and assist the PO in reviewing dashboards and reports for calculation accuracy
- Assist the PO with technical data explanations during stakeholder reviews and demos
- Maintain a centralized repository of definitions
- Keep mappings updated as requirements evolve
- Document source system findings
- Provide evidence of data accuracy
Skills
- SQL: Advanced querying for profiling and validation
- Excel: Advanced data manipulation and analysis
- Power BI: Business user level for validation and navigation
- Data Disciplines: Data Profiling, Validation, Reconciliation, and Mapping
- Tools: Jira / Azure DevOps for agile tracking
- Analytical & Communication Skills
- Analysis: Process Analysis, KPI Definition, Root Cause Analysis
- Communication: Translating technical data concepts for the PO and business audiences, detailed technical writing for engineering teams
Benefits
- Flexible work schedules
- Opportunities to work from home
- Continuing education classes
- Professional certification and training (technical, soft skills, language, and communication skills)
- Additional learning opportunities through international knowledge exchanges
- Health and life insurance
- Short-term and long-term disability insurance
- A matched contribution 401K plan
- Flexible spending accounts
- PTO and holidays
Company Overview