Senior Professional - Data Product Analyst (Hyderabad)

Senior Professional - Data Product Analyst (Hyderabad)

30 Jul
|
GCC India
|
Hyderabad

30 Jul

GCC India

Hyderabad

Where Ambition Meets Innovationnnn nn At LPLs Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. Were proud to be expanding and reaching new heights in Hyderabad.nnn nn Join us as we create something extraordinary together.nnn nnn n n Level: Senior Individual ContributornOrganization: Product Management / Strategic DatanReports to: Director or VP, Product Managementnnn n nnn n nn Role Overviewnnn n n LPL Financial is seeking a Data Product Analyst to support our Strategic Data Platforms, with a strong focus on how data is produced, shaped, governed, and delivered to downstream consumers across the firm.nnn n n This role sits at the intersection of Product Management, Data Product Ownership, and Advanced Analysis, and is designed for a senior individual contributor who can bring rigor and clarity to complex, datacentric platform initiatives.nnn n n The Data Product Analyst focuses on data as a producthelping define data contracts, validate quality, assess downstream impact, and support data product and platform decisions.nnn n n The ideal candidate is comfortable working across upstream systems of record, platform services, and downstream consumers,



and excels at turning complex data flows into actionable insights and decisions.nnn n nnn n nn Key Responsibilitiesnnn n n Product Discovery u0026 Capability Supportnnn n n n n Support product discovery by helping translate business and platform needs into clear datacentric problem statements.nnn n n n n n Contribute to roadmap planning by evaluating value, risk, and complexity across data initiatives.nnn n n n n n Help define outcomes and success measures for data platform capabilities (e.g., usability, reliability, adoption, quality).nnn n n n Advanced Data Analysis u0026 Problem Solvingnnn n n n n Perform handson exploratory and diagnostic analysis across distributed data sources and platforms.nnn n n n n n Investigate data quality issues, lineage gaps, and semantic inconsistencies that affect downstream consumers.nnn n n n n n Conduct impact analysis for schema changes, recent feeds, platform migrations, or system decommissions.nnn n n n n n Identify systemic issues in data flow, transformation, or consumption and recommend durable solutions.nnn n n n Data Product Ownership (Supporting / PlatformLevel)nnn n n n n n n Support Data Product Owners by helping define:nnn n n n n n Data contracts, schemas, and semantic definitionsnnn n n n n n Data quality rules, validation logic, and controlsnnn n n n n n Usage expectations and downstream dependenciesnnn n n n n n Maintain traceability between business intent, data products,



and technical implementation.nnn n n n n n Partner with engineering, architecture, and data platform teams to support scalable, reusable distribution patterns.nnn n n n Agile Execution u0026 Deliverynnn n n n n Contribute to Jira artifacts (features, stories, acceptance criteria) with strong data and platform context.nnn n n n n n Participate in backlog refinement, sprint planning, and demos to ensure work reflects validated platform and consumer needs.nnn n n n n n Support prioritization decisions by providing evidencebased impact and dependency analysis.nnn n n n Stakeholder Communication u0026 Influencennn n n n n Act as an analytical partner to Product Managers, Platform Owners, Engineering, and downstream consumer teams.nnn n n n n n Communicate complex data flow and platform concepts in clear, decisionready narratives.nnn n n n n n Help align stakeholders across domains by grounding conversations in data realities and tradeoffs.nnn n n nnn n nn Required Qualificationsnnn n n n n 5+ years of experience in Product Analytics, Data Analysis, Data Product Ownership, or Platformoriented Product roles.nnn n n n n n Strong handson experience with SQL (advanced querying, joins, performance awareness)nnn n n n n n Experience working with data platforms, distributed data systems, or integration layers.nnn n n n n n Experience adopting emerging AIenabled capabilities to improve the speed, depth, and effectiveness of data analysisnnn n n n n n n n Experience operating in Agile/Scrum environments with crossfunctional product and engineering teams.nnn n n n n n Proven ability to work across ambiguity and translate complex data .

📌 Senior Professional - Data Product Analyst (Hyderabad)
🏢 GCC India
📍 Hyderabad

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