304 Results for Data Analyst Jobs in Usa

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Data Engineer

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking a Data Engineer to design, develop, and maintain scalable data pipelines, integrations, and enterprise data platforms. This individual will work closely with data analysts, architects, and business stakeholders to ensure reliable data ingestion, transformation, storage, and accessibility for reporting, analytics, and business intelligence initiatives.
2026-10-23T00:00:00Z

Data Engineer

Avon, MN
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders. Responsibilities:• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications
2026-10-20T00:00:00Z

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

Minneapolis, MN
onsite
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment. Responsibilities: • Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems. • Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels. • Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems. • Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions. • Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems. • Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance. • Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses. • Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
2026-10-30T00:00:00Z

Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

Data Engineer

Naperville, IL
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment. Responsibilities: • Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs. • Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight. • Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka. • Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems. • Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange. • Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads. • Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms. • Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
2026-10-29T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-10-21T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-30T00:00:00Z

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

Saint Petersburg, FL
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment. Responsibilities: • Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function. • Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights. • Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis. • Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics. • Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies. • Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable. • Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments. • Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
2026-10-28T00:00:00Z

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.
2026-10-15T00:00:00Z

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.
2026-10-16T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-10-08T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Milwaukee, WI
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Engineer to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-10-30T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-28T00:00:00Z

Business Analyst

Deerfield Beach, FL
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are seeking a Business Analyst to support business process improvements, systems analysis, and technology initiatives within a government sector environment. This role works closely with internal departments and stakeholders to gather requirements, improve workflows, support ERP processes, and ensure system solutions meet operational needs.Key Responsibilities:<ul><li>Analyze and interpret business requirements across departments</li><li>Collaborate with stakeholders to ensure solutions meet business and end-user needs</li><li>Lead cross-functional efforts to evaluate and implement new technology and software</li><li>Support business process improvements and information flow optimization</li><li>Maintain ERP workflows that support daily operations</li><li>Coordinate system testing, end-user reviews, and post-implementation support</li><li>Provide user training and technical guidance for new and modified applications</li><li>Create process documentation and assist with change management efforts</li><li>Work with vendors to support application products</li><li>Assist with requirements analysis, validation, and prioritization for new projects</li><li>Stay current on digital trends, software development, and business continuity best practices</li></ul>
2026-10-16T00:00:00Z

Business Analyst

Fort Washington, PA
onsite
Temporary / Contract
44 - 49 USD / Hourly
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms. Responsibilities: • Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions. • Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings. • Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures. • Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts. • Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance. • Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits. • Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends. • Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings. • Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau. • Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
2026-10-01T00:00:00Z

Business Analyst

Janesville, WI
onsite
Temporary to Hire
39.5865 - 45.837 USD / Hourly
We are looking for an experienced Business Analyst to support business and operational initiatives for a high-tech pharmaceutical and biotech environment in Wisconsin. This contract opportunity with permanent potential is ideal for someone who can work independently, engage effectively with stakeholders, and translate business needs into well-defined solutions. The right candidate brings strong experience in requirements discovery, process evaluation, and cross-functional collaboration within manufacturing or similar operational settings. Responsibilities: • Lead discovery sessions with business partners and operational teams to identify needs, priorities, and desired outcomes. • Translate stakeholder input into clear business requirements, functional documentation, and actionable user stories. • Analyze current processes to uncover gaps, inefficiencies, and opportunities for improvement across business workflows. • Partner with cross-functional teams to clarify scope, support solution selection, and align deliverables with business objectives. • Maintain and organize project artifacts, including requirement documents, traceability items, and decision logs. • Support Agile delivery practices by working within Scrum-based teams and helping manage work items in JIRA. • Review business documentation and process materials to ensure completeness, consistency, and alignment with project goals. • Communicate findings, risks, and recommendations to stakeholders and project teams in a clear and timely manner.
2026-10-29T00:00:00Z

Business Analyst

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Business Analyst to support customer-focused operational initiatives in Houston, Texas. This Long-term Contract position is ideal for someone who can translate business needs into practical solutions, evaluate documentation with precision, and collaborate effectively within Agile Scrum teams. The role will work closely with stakeholders to identify process gaps, improve service workflows, and help drive well-informed business decisions. Responsibilities: • Gather and interpret business needs from stakeholders to define clear, actionable requirements for projects and operational improvements. • Analyze call center and customer service processes to uncover inefficiencies, clarify pain points, and recommend practical enhancements. • Review business and operational documents for accuracy, completeness, and alignment with established objectives and standards. • Partner with cross-functional teams in an Agile Scrum environment to support backlog refinement, sprint planning, and solution delivery. • Conduct gap analysis to compare current operations with desired outcomes and outline opportunities for process improvement. • Create organized business analysis artifacts such as requirement documents, workflows, and status updates to support decision-making. • Facilitate communication between business users and project teams to ensure expectations, priorities, and deliverables remain aligned.
2026-10-29T00:00:00Z

Business Analyst

San Bernardino, CA
onsite
Permanent / Full Time
75000 - 95000 USD / Yearly
We are looking for a Business Analyst to support data integrity, reporting, and technology operations for programs based in San Bernardino, California. This role combines analytical work, systems support, and process improvement to help teams make informed decisions and maintain reliable business operations. The ideal candidate will be comfortable working across reporting tools, business systems, and user support needs while promoting accuracy, efficiency, and strong documentation practices. Responsibilities: • Oversee the quality and reliability of information across core business platforms, ensuring records remain accurate, complete, and consistent. • Create and validate recurring and ad hoc reports used for operational oversight, leadership review, funding requirements, and compliance activities. • Build dashboards and analytical resources that measure key program indicators such as referral flow, enrollment activity, placements, caseload trends, outcomes, and target performance. • Review datasets for errors, unusual patterns, and reporting gaps, then partner with internal teams to resolve issues and strengthen data accuracy. • Define and maintain reporting standards, data rules, control procedures, and related documentation to support consistent use of information. • Manage assigned Salesforce and Smartsheet administration tasks, including user permissions, forms, workflows, automations, and reporting features. • Provide day-to-day technical support for Microsoft 365, software tools, user accounts, hardware, and routine connectivity concerns. • Coordinate with external IT partners on advanced troubleshooting, maintenance activities, cybersecurity matters, system testing, upgrades, and integrations. • Improve operational workflows by developing automation, data checks, performance alerts, training materials, and practical recommendations for staff and leadership.
2026-10-22T00:00:00Z

Business Analyst

Hampton, NH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Business Analyst to support Oracle-focused initiatives within a utilities and infrastructure environment in Hampton, New Hampshire. This Long-term Contract position will work closely with business and technical teams to define needs, improve workflows, and help deliver effective solutions across finance, operations, and IT. The ideal candidate brings strong analytical skills, hands-on Oracle experience, and the ability to turn complex business objectives into clear, actionable documentation. Responsibilities: • Partner with business leaders and technical teams to identify, clarify, and document functional and operational needs for Oracle-based applications. • Convert business objectives into detailed requirements, user stories, process flows, and supporting documentation for delivery teams. • Evaluate current workflows to uncover efficiency opportunities and recommend practical system or process enhancements. • Support Oracle-related implementations, platform updates, integrations, and other enterprise application initiatives. • Lead requirement workshops, stakeholder discussions, and validation sessions to confirm scope, priorities, and expected outcomes. • Work closely with developers, database specialists, and quality teams to ensure delivered solutions meet business expectations. • Assist with planning, coordination, and issue resolution for Oracle environment changes, including upgrade or migration-related activities. • Create and maintain process maps, workflow documentation, and reporting artifacts to support decision-making and knowledge sharing.
2026-10-26T00:00:00Z

Business Analyst

Larchmont, NY
remote
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for a Business Analyst to join a fast-moving advisory environment in New York, where you will contribute to high-impact transaction and strategic projects across healthcare and technology. This position offers close collaboration with senior executives, founders, and investors while providing meaningful exposure to mergers and acquisitions, capital raising efforts, and market intelligence work. The ideal candidate brings strong analytical judgment, effective communication skills, and the ability to manage several priorities with a high degree of independence. Responsibilities: • Contribute to merger, acquisition, and fundraising engagements through each stage of the deal lifecycle, from initial planning to closing activities. • Join discussions with client leadership, including founders, chief executives, and investors, to capture priorities and support transaction progress. • Create clear briefing documents, presentation materials, and other decision-support content for client and investor audiences. • Develop and update lists of prospective buyers, investors, and strategic targets to support outreach and transaction strategy. • Assist with due diligence coordination by organizing information, monitoring requests, and helping move execution workstreams forward. • Review financial forecasts provided by clients and refine Excel-based models to support analysis and scenario evaluation. • Monitor active opportunities, transaction timelines, and key milestones to help maintain visibility across multiple concurrent projects. • Perform industry, market, and competitive research using modern AI-enabled tools, including Claude, to produce relevant business insights. • Deliver client-ready materials in PowerPoint and other formats while balancing multiple assignments with minimal day-to-day supervision.
2026-10-23T00:00:00Z

Business Analyst

Reading, PA
onsite
Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a Business Analyst to join a team focused on improving internal technology solutions, strengthening data connectivity, and refining business processes across a largely custom software environment. This contract opportunity with potential for a permanent role is based in Reading, Pennsylvania, and will partner closely with business stakeholders across North America as well as a development team to turn operational needs into well-defined solutions. The role is ideal for someone who can quickly understand new systems, balance multiple initiatives, and communicate clearly in a dynamic setting. Responsibilities: • Partner with business teams to uncover needs, define objectives, and translate requests into detailed functional and technical requirements. • Contribute to data integration efforts by helping organize, analyze, and support the movement of commercial and customer information between systems. • Plan and facilitate user acceptance testing by preparing test scenarios, tracking defects, and confirming that delivered solutions align with expected outcomes. • Monitor project activity by coordinating priorities, maintaining timelines, and keeping stakeholders informed on progress and next steps. • Produce clear internal documentation, including intranet content and end-user guides, to encourage effective use of company applications. • Attend cross-functional meetings to build knowledge of internal platforms and provide day-to-day support for business applications. • Work with technical teams to clarify business intent, answer requirement questions, and help move enhancements through delivery. • Help identify process improvement opportunities that increase efficiency and support stronger application adoption across the organization.
2026-10-15T00:00:00Z

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