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7 results for Business Intelligence Developer in Philadelphia, PA

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.
2026-07-06T00:00:00Z

Business Analyst

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a detail-oriented Business Analyst to support contract operations in Philadelphia, Pennsylvania. This Long-term Contract position focuses on translating business needs into reliable system processes, maintaining high standards for testing and documentation, and helping users work effectively within the platform. The role will partner across operations, legal support, and IT to promote accurate data, controlled change management, and dependable reporting. Responsibilities: • Lead recurring agreement and data transfer activities from legacy tools into the current platform, validating completeness and resolving discrepancies. • Produce and maintain operational reports that align with stakeholder needs and provide actionable insight into contract performance and workflow trends. • Plan and execute system validation efforts for updates, enhancements, and releases, recording outcomes and following through on issue resolution. • Manage key configuration record content for contract templates, ensuring required attributes, document details, and conditional logic remain accurate and up to date. • Work closely with operational legal support partners to preserve consistency, version control, and governance standards across maintained records. • Coordinate Class I change requests from initial documentation through approval and implementation, confirming updates are reflected correctly in system settings and records. • Assist with preparation of test plans for larger release efforts, helping define scenarios and expected outcomes for major changes. • Monitor the user support channel, respond to reported issues, and escalate technical matters to the appropriate support teams when needed. • Support database administration activities and partner with IT on user access, provisioning, deprovisioning, and role-based permissions within the platform. • Create user guidance and deliver training sessions for new and existing team members as system functionality evolves.
2026-07-16T00:00:00Z

Data Engineer

Norristown, PA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

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.
2026-06-25T00:00:00Z

Business Development Representative

Collegeville, PA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Are you looking for a business development role where you can stretch your market research skills? Robert Half is currently working with a growing client on their search for a Business Development Representative with thorough experience in business development and negotiations. This role will consist of enhancing business processes, increasing revenue, creating effective business strategies, exploring and evaluating new markets and business opportunities, preparing and presenting proposals, building strong client relationships, and assisting with investment origination. The ideal Business Development Representative should have extensive experience conducting research, sourcing, interpreting data, and analyzing market trends. Primary Responsibilities· Analyze business operations and trends in the market· Identify opportunities to increase revenue· Evaluate consumer behavior· Coordinate with internal stakeholders· Identify new customers that promote sustained income· Assist with developing a new sales and marketing plan· Prepare proposals for new business opportunities· Create internal marketing materials/promotions· Attend industry conferences· Schedule Maintenance· Prepare presentations as needed
2026-07-20T00:00:00Z

AI Business Analyst/Consultant

Piscataway, NJ
remote
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for an AI Business Analyst/Consultant to join an associations organization in Piscataway, New Jersey. This Long-term Contract opportunity is ideal for someone who can connect business needs with technical execution across AI-driven products, data platforms, and external partnerships. In this role, you will work closely with product, engineering, data science, marketing, and vendor teams to support product delivery, improve issue resolution, and help bring customer-focused solutions to market. Responsibilities: • Act as the primary business resource for assigned AI and data products, building a strong understanding of features, workflows, and business value. • Elicit and organize business and functional needs into clear documentation such as requirement summaries, user stories, process flows, and meeting records. • Collaborate with product leadership to refine priorities, maintain an organized Jira backlog, and ensure work items reflect both business objectives and technical considerations. • Map data movement, decision logic, and integration dependencies to support machine learning capabilities and third-party data solutions. • Review reported product issues, replicate defects, analyze data-related irregularities, and direct well-defined tickets to the appropriate technical teams. • Develop business-focused test scenarios and assist with user acceptance and functional testing to support reliable releases. • Turn complex concepts related to machine learning, generative AI, and simulation-based solutions into language that is meaningful for business stakeholders and customers. • Monitor market activity, competing AI offerings, and industry developments to help shape product positioning and identify opportunities for differentiation. • Provide structured updates to internal stakeholders and coordinate closely with the Product Manager to track timelines, dependencies, and external vendor commitments.
2026-07-16T00:00:00Z

Data Analyst

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-07-16T00:00:00Z