職種概要
Note: GlobalLogic estimates the starting pay range for this role to be performed remotely in USA is $120,000 – $130,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Role Summary:
The Data Analyst serves as the detailed data specialist responsible for analyzing source systems, defining KPIs, creating data mappings, and supporting data validation. Working closely with the Product Owner (PO), who drives the overall product vision and business requirements, you will translate those high-level user stories into clear data requirements, field mappings, business rules, KPI definitions, and validation criteria.
You will act as the bridge between the PO’s business objectives and the technical execution teams, playing a key role in supporting data reconciliation, testing execution, and ensuring the final analytics solutions accurately reflect the required business logic.
必要条件
Required 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.
職務内容
Key Responsibilities:
Data Requirements & Analysis
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.
Source System Analysis
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.
Example Deliverables: Source Inventory, Data Availability Assessment, Source System Documentation, Data Gap Analysis.
Source-to-Target Mapping
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.
Data Validation & Reconciliation Support
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.
User Acceptance Testing (UAT) Support
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.
Documentation & Governance
KPI Catalog & Data Dictionary: Maintain a centralized repository of definitions.
Source-to-Target Mapping Documents: Keep mappings updated as requirements evolve.
Data Profiling Summaries: Document source system findings.
Data Validation & Reconciliation Reports: Provide evidence of data accuracy.
私たちが提供するもの
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
GlobalLogicについて
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
