Analyst, Business Systems

About the Role:

The Senior Analyst, Data owns the front end of the data delivery lifecyclepartnering closely with business stakeholders and Data Engineers to ensure data initiatives are clearly defined, properly prioritized, validated, and successfully released into production.

This role is responsible for leading requirements discovery, clarifying business intent and value, identifying dependencies and risks, and translating business needs into well-defined data requirements that engineers can execute against. The Senior Analyst supports Data Engineers throughout day-to-day delivery by removing ambiguity, resolving blockers, coordinating testing and validation, and owning business readiness through production release.

Success in this role is measured by the clarity of requirements, alignment across teams, quality of delivered data products, and smooth, predictable releases that meet business expectations.

What Youll Do:

Requirements, Intake & Business Alignment:

• Lead structured intake and discovery sessions with business partners to understand objectives, use cases, and success criteria
• Inspect and interrogate requests to uncover underlying business needs, assumptions, and constraints
• Identify dependencies, overlaps, risks, and timing considerations across initiatives
• Clearly articulate business value, priority, and intended outcomes for data initiatives
• Translate business needs into well-defined data requirements, acceptance criteria, and delivery scope

Engineering Partnership & Delivery Support:

• Partner closely with Data Engineers to support day-to-day delivery activities
• Provide ongoing clarification of requirements, logic, and priorities during development
• Help engineers resolve ambiguities, unblock issues, and navigate changing business needs
• Coordinate across teams to ensure alignment between ingestion, transformation, and downstream consumption.

Prioritization & Roadblock Removal:

• Support backlog prioritization based on business value, dependencies, and delivery readiness
• Proactively identify risks, gaps, and blockers that could impact delivery timelines or quality
• Work with engineering, analytics, and business partners to resolve issues and adjust scope as needed.

Testing, Validation & Release Ownership:

• Coordinate and support testing efforts, including UAT and business validation
• Validate that delivered data meets business intent, requirements, and quality expectations
• Own business sign-off and readiness for production release
• Coordinate release timing and communications with engineering and business stakeholders
• Act as the primary point of contact during and immediately following production release.

Documentation & Continuous Improvement:

• Maintain clear documentation of requirements, assumptions, validation results, and release notes
• Contribute to process improvements across intake, delivery, testing, and release workflows
• Promote best practices for clarity, traceability, and repeatability across data initiatives

What Youll Bring:

• Bachelors Degree or equivalent practical experience
• 5 years of experience in data analysis, business analysis, or data delivery roles
• Strong ability to work effectively in a globally distributed, cross-functional team environment
• Proven ability to balance multiple priorities while maintaining clarity and focus

Must Have Skills:

• Strong experience with requirements gathering, stakeholder facilitation, and business analysis
• Ability to translate business needs into clear data requirements and acceptance criteria
• Proficiency with SQL for data validation, analysis, and testing support
• Experience supporting data delivery efforts in partnership with data engineering teams
• Familiarity with data pipelines, lakehouse concepts, and medallion (bronze/silver/gold) architectures
• Experience working with Jira, Confluence, or similar tools for intake, tracking, and documentation
• Strong communication skills with the ability to challenge assumptions and drive clarity

Nice to Have:

• Experience supporting production data releases and post-release validation
• Familiarity with data quality, reconciliation, or observability practices
• Exposure to Power BI or similar reporting tools
• Experience working in Agile or product-oriented delivery models.

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That meansthat any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions willnever seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidates acceptance of a formal offer.