Professional - Data Product Analyst

Overview

Support LPL's Strategic Data Platforms as a Data Product Analyst, focused on how data is produced, shaped, governed and delivered to downstream consumers across the firm. This senior individual contributor role sits at the intersection of Product Management, Data Product Ownership and Advanced Analysis.

What you'll do

• Support product discovery by helping translate business and platform needs into clear data-centric problem statements.
• Contribute to roadmap planning by evaluating value, risk and complexity across data initiatives.
• Help define outcomes and success measures for data platform capabilities (e.g., usability, reliability, adoption, quality).
• Perform hands-on exploratory and diagnostic analysis across distributed data sources and platforms.
• Investigate data quality issues, lineage gaps and semantic inconsistencies that affect downstream consumers.
• Conduct impact analysis for schema changes, new feeds, platform migrations or system decommissions.
• Identify systemic issues in data flow, transformation or consumption and recommend durable solutions.
• Support Data Product Owners in defining data contracts, schemas and semantic definitions.
• Support Data Product Owners in defining data quality rules, validation logic and controls.
• Support Data Product Owners in defining usage expectations and downstream dependencies.
• Maintain traceability between business intent, data products and technical implementation.
• Partner with engineering, architecture and data platform teams to support scalable, reusable distribution patterns.
• Contribute to Jira artifacts (features, stories, acceptance criteria) with strong data and platform context.
• Participate in backlog refinement, sprint planning and demos to ensure work reflects validated platform and consumer needs.
• Support prioritization decisions by providing evidence-based impact and dependency analysis.
• Act as an analytical partner to Product Managers, Platform Owners, Engineering and downstream consumer teams.
• Communicate complex data flow and platform concepts in clear, decision-ready narratives.
• Help align stakeholders across domains by grounding conversations in data realities and trade-offs.

What you'll need

• 4+ years of experience in Product Analytics, Data Analysis, Data Product Ownership or Platform-oriented Product roles.
• Strong hands-on experience with SQL (advanced querying, joins, performance awareness).
• Experience working with data platforms, distributed data systems or integration layers.
• Experience adopting emerging AI-enabled capabilities to improve the speed, depth and effectiveness of data analysis.
• Experience operating in Agile/Scrum environments with cross-functional product and engineering teams.
• Proven ability to work across ambiguity and translate complex data ecosystems into actionable insights.
• Solid understanding of data modeling and semantic consistency.
• Solid understanding of data quality, lineage and governance concepts.
• Solid understanding of pipelines and event-driven architectures (conceptual and analytical understanding).

Nice to have

• Experience supporting advisor data platforms or shared enterprise data services.
• Background in financial services, wealth management or other highly regulated data environments.
• Familiarity with downstream consumer needs (applications, analytics platforms, partners, regulatory consumers).
• Experience performing impact analysis for data changes across multiple consuming systems.

Details

• Location: Hyderabad.