10 Results for Business Intelligence Developer Jobs in Philadelphia, PA

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Sr. Business Intelligence Architect

Philadelphia, PA
onsite
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization. Responsibilities: • Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI. • Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting. • Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric. • Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs. • Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions. • Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability. • Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights. • Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.
2026-11-03T00:00:00Z

Business Analyst

King of Prussia, PA
remote
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a Business Analyst to join a collaborative team on a contract basis. This position will partner closely with business stakeholders and cross-functional teams to translate operational needs into clear, actionable requirements. The ideal candidate brings strong experience with Salesforce and nCino, along with the ability to support agile planning, documentation, and ongoing process improvement. Responsibilities:• Lead discovery sessions with business partners to identify goals, capture needs, and clarify functional expectations.• Convert business input into organized requirements, user stories, and supporting documentation for delivery teams.• Refine and manage the requirements backlog to keep work items current, well-defined, and ready for development.• Contribute to prioritization conversations by evaluating business value, urgency, and implementation considerations.• Administer and update the Salesforce and nCino SharePoint repository to ensure materials remain accurate and accessible.• Collaborate closely with experienced business analysis and scrum team members to support agile ceremonies and day-to-day delivery activities.• Review existing documents and workflows to identify gaps, inconsistencies, and opportunities for improved alignment.• Act as a liaison between stakeholders and project teams to promote shared understanding throughout the project lifecycle.
2026-10-20T00:00:00Z

Data Engineer

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-11-03T00:00:00Z

Data Engineer

Bridgewater, NJ
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently. Responsibilities: • Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources. • Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs. • Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks. • Work with Hadoop-based environments to manage distributed data processing and storage effectively. • Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement. • Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions. • Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
2026-10-29T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-11-06T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-11-06T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-11-02T00:00:00Z

AI Business Analyst/Consultant

Edison, NJ
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey. This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value. The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business. Responsibilities: • Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development. • Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights. • Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery. • Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements. • Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization. • Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting. • Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks. • Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives. • Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions. • Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.
2026-10-16T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-21T00:00:00Z

10 results for Business Intelligence Developer in Philadelphia, PA