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Business Intelligence Solution Developer
Real Chemistry. Coordinate onboarding of new client data sources and data feeds .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong SQL and Python skills in a Databricks environment, with expertise in ETL tools and data manipulation. Capable of translating complex business reporting requests into structured data while ensuring data quality and accuracy.
Highest-signal resume keywords
SQL ExpertisePython ProficiencyETL Tools ExperienceData Quality AssuranceBusiness Intelligence Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonETL ToolsData ManipulationData Quality ChecksData TransformationData ModelingReporting StructuresKPI DefinitionsData Analysis
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
DatabricksFunnel.ioDBTTableauPower BI
Industry Keywords
Pharma AnalyticsHealthcare Media AnalyticsDigital Media MeasurementData Warehouse Schemas
Tech Stack
Tools & technologiesETLPythonSQLTableau
About the role
Key responsibilities & impact- Coordinate onboarding of new client data sources and data feeds
- Partner with Data Engineering to ingest data into Databricks
- Monitor data delivery schedules and ingestion processes
- Maintain source documentation, field mappings, and data inventories
- Resolve source-related issues with internal teams and external partners
- Monitor data freshness, completeness, and accuracy across client datasets
- Perform quality assurance and reconciliation checks
- Investigate missing, unexpected, or inconsistent data
- Coordinate remediation efforts and document data quality findings and resolutions
- Support automated data quality checks and monitoring processes
- Develop and maintain client-specific tables and reporting views in Databricks using medallion architecture
- Transform and standardize data into reporting-ready structures
- Document business rules, transformation logic, and metric definitions
- Maintain reusable reporting datasets and standardized data models
- Serve as primary contact for routine data-related questions
- Partner with Client Services, Media, Strategy, and Data teams on data outputs and expectations
- Translate reporting requirements into technical requirements and database-modeled data
- Communicate data issues, impacts, and resolutions to stakeholders
- Troubleshoot discrepancies affecting reporting deliverables
- Support Power BI developers and business analysts
- Assist with report validation and troubleshooting
- Verify dashboard data against source systems and business requirements
- Support semantic models and reporting datasets
Requirements
What you’ll need- Strong SQL and Python skills, preferably in a Databricks environment
- Experience using ETL tools and data manipulation concepts, such as Funnel.io, DBT, or similar applications
- Comfort partnering with Data Engineering on data sources, schemas, and refresh logic
- Deep analytical and problem-solving skills related to data storage and structure for reporting
- Experience reviewing data logic, KPI definitions, and QA outputs
- Basic BI skills using Tableau or Power BI, including data modeling, dashboard structure, calculated fields, usability, and data storytelling
- Strong written and verbal communication with technical and non-technical stakeholders
- Ability to translate complex business reporting requests into modeled data
- Pharma, HCP, or healthcare media analytics experience, including media PLD, preferred/bonus
- Digital media measurement expertise preferred/bonus
- Experience inheriting or stabilizing existing data warehouse schemas preferred/bonus
Benefits
Comp & perks- Generous holiday and paid time off
- Options for private medical, dental, and vision plans
- Support in saving for the future
- Mental wellness coaching and support
- Access to more than 13,000 online classes with LinkedIn Learning
- Free snacks at offices
- Remote or hybrid flexibility where appropriate
- Collaboration, culture-building, learning, and team connection opportunities throughout the year