Where Ambition Meets Innovation
At LPL’s 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. We’re proud to be expanding and reaching new heights in Hyderabad.
Join us as we create something extraordinary together.
Job Overview:
We are seeking a creative and hands-on BI and data engineer with extensive experience delivering advanced analytics and enterprise reporting and BI solutions. This role will be pivotal in bridging business needs with data discoverability and use, ensuring our customers have access to trusted insights for use to drive our business forward.
Responsibilities:
Lead the development and delivery of the LPL Intelligence Marketplace, enabling consumers to discover and use certified data and AI assets through a unified experience
Design, develop, and maintain enterprise BI solutions, including data models, data marts, and reporting systems
Build and optimize ETL/ELT pipelines to extract, transform, and load data from diverse sources into centralized repositories (data warehouses, data lakes)
Develop and maintain dashboards, reports, and visualizations using Tableau, Power BI, and Alteryx
Collaborate with business stakeholders to gather requirements, translate business needs into technical solutions, and deliver actionable insights
Ensure data quality, integrity, and consistency across all BI deliverables; implement data validation and reconciliation processes
Support and enhance data governance, cataloging, and lineage initiatives to ensure compliance and transparency
Optimize database queries, data models, and reporting performance for scalability and efficiency
Troubleshoot and resolve data-related issues, supporting business users and analysts in their data needs
Document BI processes, data flows, and technical specifications; provide training and support to end users
Stay current with BI trends, tools, and best practices; recommend and implement improvements to BI architecture and processes
What are we looking for?
We’re 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.
Requirements:
3+ years of experience cloud-based enterprise business intelligence tooling, with at least 2 years focused on delivering data and ent3+ years of experience cloud-based enterprise business intelligence tooling, with at least 2 years focused on delivering data and enterprise-level BI solutions for advanced analytics
Bachelor’s degree in Data Science, Computer science or related field; Master’s degree preferred
Demonstrable hands-on experience with:
Advanced development experience in Tableau, Power BI, and Alteryx for dashboarding, data preparation, and advanced analytics
Data modeling and warehousing: designing star/snowflake schemas, building data marts, and optimizing for analytical workloads
ETL/ELT development: building and maintaining pipelines using tools such as Alteryx, SSIS, Informatica, Talend, or dbt.
SQL: advanced query writing, performance tuning, and data analysis
Scripting/programming: Python or R for data processing and automation
UI: experience in delivering custom UI analytics and dashboard solutions preferred
Strong understanding of data governance, data quality, and security best practices.
Advanced Tableau experience required.
Preferences:
Experience in financial services or other regulated industries is a plus, wealth management experience preferred
Advanced knowledge and experiencing in delivering data access/discoverability experiences – delivering quality trusted data for analysts to use
Experience with enterprise-scale BI deployments and self-service analytics enablement
Demonstrated use of AI/ML tools to augment engineering and BI productivity
Familiarity with data cataloging, lineage, and metadata management tools
Knowledge of advanced analytics, machine learning, or statistical modeling
Advanced analytics user interface and design experience
BI or cloud certifications (e.g., Tableau Desktop Specialist, Microsoft Certified: Data Analyst Associate, AWS Certified Data Analytics)
Skills & Tools
Tableau, Power BI, Alteryx
SQL, Python, R
ETL/ELT tools (Alteryx, SSIS, Informatica, Talend, dbt)
Data warehousing (Snowflake, Redshift, BigQuery, Synapse)
Data governance & cataloging (Collibra, Alation, Atlan)
Cloud platforms (AWS, Azure, GCP)
Version control (Git), CI/CD for BI assets
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