Top Senior Business Intelligence Jobs in Philadelphia, PA

As Head of Investment Data, you will define and drive data strategy, governance, and operations to enhance investment decision-making and client outcomes.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

Design, build, and maintain scalable BI solutions and Power BI dashboards for CRM performance and lifecycle analytics. Integrate AEP, RTCDP, and CRM data, ensure data quality and governance, automate reporting across brands/markets, support attribution and migration to cloud, and collaborate with cross-functional teams to deliver actionable marketing insights.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Looking for a Senior Business Analyst to gather requirements, collaborate with technical teams, and lead testing efforts, ensuring documentation and relationships are maintained with business teams.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Support business partners with advanced data insights and subject-matter expertise. Build and maintain reporting pipelines and dashboards, write advanced SQL, perform cohort and forecasting analyses, and deliver recommendations. Partner with stakeholders, run trainings to enable self-serve analytics, and manage projects across teams to measure customer activation, engagement, and product success.

The Business Analyst will develop and manage BI solutions, perform data analysis, and communicate effectively with both technical and business teams.

The BI Developer will create and manage Enterprise reporting using Power BI, collaborate with users for optimized visualizations, build data models, and ensure governance, while enabling self-service BI and driving process improvements.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Lead BI developer owning end-to-end reporting for performance marketing verticals. Build and standardize dashboards, author LookML models, extract insights from messy third-party data, partner with Yield/Paid Media/Account teams, deliver retrospective analyses, and drive adoption and business impact.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.

The Senior Consultant will lead the design and implementation of data solutions using Microsoft Fabric, Power BI, and Databricks to enhance analytics capabilities for clients. They will engage with stakeholders to define data strategies and deliver high-quality consulting services across multiple projects.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

Own and cleanse payments data to produce accurate Power BI dashboards and forecasts. Analyze interchange, ACH, VCC, and check costs to identify margins and optimization opportunities. Deliver executive-level storytelling, perform rigorous reconciliations, and act as an internal consultant to guide resource allocation and reduce payment costs.

Manage and optimize the Business Intelligence engineering team, develop BI strategy, oversee project management, and ensure data accuracy.

The Senior Analyst will drive marketing strategies and performance optimization through advanced analytics, insights generation, and cross-functional partnerships, while mentoring junior team members.

The role involves developing data analytics strategies, enhancing business intelligence, ensuring data integrity, mentoring junior analysts, and adopting innovative data solutions.

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.