Where Ambition Meets InnovationnnAt 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 recent heights in Hyderabad.nnJoin us as we create something extraordinary together.nnJob Overview:nnLPL Financial is seeking a Data Product Analyst to support our Data Distribution and Platform capabilities, with a strong focus on how data is produced, shaped, governed, and delivered to downstream consumers across the firm. nnThis 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. nnThe Data Product Analyst focuses on data as a producthelping define data contracts, validate quality, assess downstream impact, and support product and platform decisions related to data distribution via feeds, APIs, and shared platforms. nnThe 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. nnResponsibilities:nnData Distribution u0026 Platform Enablement nn- Partner with Product Managers and Platform Capability Owners to support data distribution strategy, including feeds and shared data services. nn- Help define and refine data products that serve multiple downstream consumers (internal teams, platforms, partners). nn- Analyze data usage patterns,



dependencies, and downstream impacts to inform platform and roadmap decisions. nn- Support decisions around standardization vs. specialization in data distribution models. nnProduct Discovery u0026 Capability Support nn- Support product discovery by helping translate business and platform needs into transparent datacentric problem statements. nn- Contribute to roadmap planning by evaluating value, risk, and complexity across data distribution initiatives. nn- Help define outcomes and success measures for data platform capabilities (e.g., usability, reliability, adoption, quality). nnAdvanced Data Analysis u0026 Problem Solving nn- Perform handson exploratory and diagnostic analysis across distributed data sources and platforms. nn- Investigate data quality issues, lineage gaps, and semantic inconsistencies that affect downstream consumers. nn- Conduct impact analysis for schema changes, new feeds, platform migrations, or system decommissions. nn- Identify systemic issues in data flow, transformation, or consumption and recommend durable solutions. nnData Product Ownership (Supporting / PlatformLevel) nn- Support Data Product Owners by helping define: nn- Data contracts, schemas, and semantic definitions nn- Data quality rules, validation logic, and controls nn- Usage expectations and downstream dependencies nn- Maintain traceability between business intent, data products, and technical implementation.



nn- Partner with engineering, architecture, and data platform teams to support scalable, reusable distribution patterns. nnAgile Execution u0026 Delivery nn- Contribute to Jira artifacts (features, stories, acceptance criteria) with strong data and platform context. nn- Participate in backlog refinement, sprint planning, and demos to ensure work reflects validated platform and consumer needs. nn- Support prioritization decisions by providing evidencebased impact and dependency analysis. nnStakeholder Communication u0026 Influence nn- Act as an analytical partner to Product Managers, Platform Owners, Engineering, and downstream consumer teams. nn- Communicate complex data flow and platform concepts in clear, decisionready narratives. nn- Help align stakeholders across domains by grounding conversations in data realities and tradeoffs. nnWhat are we looking for nnWere looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. nnRequirements:nn- 5+ years of experience in Product Analytics, Data Analysis, Data Product Ownership, or Platformoriented Product roles. nn- Strong handson experience with SQL (advanced querying, joins, performance awareness) nn- Experience working with data platforms, distributed data systems, or integration layers. nn- Experience adopting emerging AIenabled capabilities to improve the speed, depth, and effectiveness of data analysis nn- Experience operating in Agile/Scrum .

📌 Senior Data Product Analyst Data Distribution u0026 Data Share Capabilities (Hyderabad)
🏢 GCC India
📍 Hyderabad