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87 results for Database Manager jobs

Data Engineer

Dallas, Texas
onsite
Temporary / Contract
45 - 50 USD / Hourly
OverviewWe are seeking an experienced Data Engineer to join a growing data team supporting enterprise analytics, reporting, and data science initiatives. This role will focus on supporting and enhancing existing data pipelines while contributing to new development efforts within a modern data environment. The ideal candidate will have strong experience with Databricks, SQL, and Python, along with the ability to partner directly with business stakeholders and translate business requirements into scalable technical solutions. POSITION: DATA ENGINEERLOCATION: DALLAS, TX ONSITEDURATION: 6-MONTH CONTRACT-TO-HIRE RESPONSIBILITIES<ul><li>Develop, support, and enhance ETL and data pipeline solutions.</li><li>Design and build data transformations across Bronze, Silver, and Gold data layers within a Medallion Architecture environment.</li><li>Write, optimize, and troubleshoot complex SQL queries to support reporting, analytics, and operational business needs.</li><li>Develop and maintain data processing solutions using Python and PySpark within Databricks.</li><li>Partner directly with business stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Monitor, troubleshoot, and resolve data pipeline issues while performing root cause analysis.</li><li>Design and maintain data warehouse and database models that support reporting, analytics, and data science initiatives.</li><li>Deliver trusted and certified datasets that power dashboards, self-service analytics, and business reporting.</li><li>Apply best practices related to data quality, testing, monitoring, performance optimization, documentation, and maintainability.</li><li>Collaborate with data engineers, analysts, data scientists, and business teams on strategic initiatives and ongoing support efforts.</li></ul>
2026-09-10T00:00:00Z

Data Engineer

Chicago, Illinois
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office. Responsibilities: • Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs. • Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently. • Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms. • Write production-quality Python code to automate data processing, validation, and orchestration tasks. • Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions. • Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability. • Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives. • Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.
2026-09-09T00:00:00Z

Data Engineer

Dallas, Texas
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-09-21T00:00:00Z

Data Engineer

Chicago, Illinois
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential. Responsibilities: • Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets. • Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms. • Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance. • Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads. • Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs. • Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions. • Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity. • Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
2026-09-09T00:00:00Z

Data Engineer

Farmers Branch, Texas
onsite
Permanent / Full Time
145000 - 170000 USD / Yearly
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products. Responsibilities: • Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools. • Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets. • Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data. • Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns. • Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments. • Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support. • Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments. • Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions. • Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. • Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
2026-09-02T00:00:00Z

Data Engineer

Oklahoma City, Oklahoma
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 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 prac
2026-09-08T00:00:00Z

Data Engineer

Chicago, Illinois
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-09-04T00:00:00Z

Data Librarian

Corte Madera, California
remote
Temporary / Contract
32 - 35 USD / Hourly
We are looking for a detail-oriented Data Librarian to support digital asset and metadata operations for a retail organization. This Long-term Contract position will oversee the accuracy, organization, and movement of large volumes of product and creative data across digital libraries, Airtable, and translation-related systems. The role partners closely with creative, marketing, technology, localization, and external stakeholders to keep publishing and content workflows running smoothly. This opportunity is well suited for someone who enjoys structured data, process improvement, and cross-functional coordination in a fast-paced environment. Responsibilities:• Maintain accurate and well-structured metadata across digital asset libraries and related content systems, ensuring consistency across records and classifications.• Perform large-scale data tasks such as importing, exporting, reviewing, reconciling, and validating records to preserve data quality and usability.• Organize and execute data mapping, cleansing, normalization, and migration activities to support library updates and ongoing operational needs.• Develop, document, and refine repeatable processes that improve data handling, publishing support, and team efficiency.• Monitor translation-related data workflows, including request intake, record maintenance, prioritization, and status updates for ongoing deliverables.• Support the upkeep of translation reference resources such as terminology databases, translation memory assets, and style documentation.• Partner with internal teams and external contributors to align on requirements, communicate risks, and resolve data issues affecting timelines or deliverables.• Facilitate working sessions, capture decisions, and follow through on action items to keep cross-functional initiatives moving forward.• Identify breakdowns in current workflows and recommend scalable solutions, including training and guidance for teams using data management processes.
2026-09-21T00:00:00Z

Content Manager

Parsippany, New Jersey
onsite
Temporary / Contract
30 - 34 USD / Hourly
We are looking for a Content Manager to support digital content operations for a manufacturing organization based in Parsippany, New Jersey. This Long-term Contract position will focus on maintaining accurate, engaging, and well-organized product content across multiple brand websites while partnering with cross-functional teams to deliver a strong customer experience. The ideal candidate brings hands-on expertise in content publishing platforms, digital asset coordination, and website quality assurance within a fast-paced environment. Responsibilities:• Oversee product onboarding and ongoing content maintenance across several brand websites, ensuring information, imagery, and supporting assets remain current and consistent.• Create, edit, and publish web content using platforms such as Adobe Experience Manager, Shopify, and Klaviyo while applying user experience best practices.• Coordinate with product, marketing, and global stakeholders to gather pricing, documents, creative assets, and other materials needed for accurate product launches.• Lead assigned digital initiatives by tracking milestones, communicating status updates, addressing stakeholder questions, and keeping deliverables aligned with expectations.• Monitor project risks and operational challenges, develop practical solutions, and take early action to prevent delays or quality issues.• Execute quality checks for landing pages, promotional offers, site copy, and functional site elements to confirm content accuracy and site performance before and after publishing.• Maintain an organized library of digital content and creative assets, and share newly available materials with internal teams to support ongoing campaigns and site updates.• Investigate and resolve publishing or production problems by partnering with internal technical teams and external development resources to restore timely site operations.• Work with cross-functional partners to translate business needs into clear digital requirements and implement content updates that support customer-facing goals. 02720-0013424624
2026-09-17T00:00:00Z

Data Engineer/Modeler

West Des Moines, Iowa
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making. Responsibilities: • Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format. • Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer. • Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data. • Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models. • Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures. • Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards. • Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record. • Manage model promotion and version control across development, testing, and production environments using Git and established release practices. • Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
2026-09-18T00:00:00Z

Data Analyst

New Holland, Pennsylvania
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. Key Responsibilities Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness. Qualifications Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus.
2026-09-03T00:00:00Z

Data Analyst

Greenville, South Carolina
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a Data Analyst to join our team in Greenville, South Carolina. In this role, you will combine technical expertise, analytical thinking, and team leadership to drive data-focused initiatives that support business goals. This position offers the opportunity to guide projects, collaborate with cross-functional partners, and strengthen the quality and efficiency of data solutions across the organization. Responsibilities:• Guide and support a team of technical contributors by providing mentorship, feedback, and day-to-day leadership.• Coordinate concurrent data and operational initiatives, helping set priorities and keep deliverables on track.• Work closely with developers and technical partners to address complex issues and enhance existing data solutions.• Contribute to project planning by organizing workloads, aligning timelines, and keeping stakeholders informed of progress.• Champion effective practices for database management, automation, system integrations, testing, documentation, and production support.• Identify opportunities to refine workflows, improve team standards, and increase overall operational efficiency.• Collaborate with business partners to understand requirements and translate them into practical, scalable technical outcomes.
2026-09-17T00:00:00Z

Data Analyst

Milford, Connecticut
onsite
Temporary / Contract
26 - 31 USD / Hourly
About the RoleRobert Half is seeking a highly analytical and detail-oriented Data Analyst for a contract opportunity with an innovative technology company in Milford, Connecticut. This position is ideal for a professional who enjoys transforming complex data into actionable insights and supporting business decisions through reporting, analysis, and data visualization.The Data Analyst will collaborate with cross-functional teams to collect, analyze, and interpret data, helping drive operational efficiency and strategic initiatives across the organization.Responsibilities<ul><li>Collect, validate, and analyze large datasets from multiple sources</li><li>Develop and maintain reports, dashboards, and data visualizations</li><li>Identify trends, patterns, and key performance indicators to support business objectives</li><li>Prepare and present findings to management and key stakeholders</li><li>Perform data cleansing and quality assurance to ensure data accuracy</li><li>Assist with forecasting, business planning, and performance analysis</li><li>Create ad hoc reports and analyses to support departmental initiatives</li><li>Collaborate with IT and business teams to improve reporting processes and data integrity</li><li>Document reporting procedures, metrics, and data definitions</li><li>Support special projects and data-driven decision-making efforts</li></ul>
2026-09-16T00:00:00Z

Data Analyst

Bloomington, Minnesota
onsite
Permanent / Full Time
59000 - 60000 USD / Yearly
We are looking for a Data Analyst to join a healthcare organization in Bloomington, Minnesota, and turn complex data needs into clear, actionable reporting solutions. This role partners with internal stakeholders to define reporting objectives, develop reliable analyses, and deliver insights that support informed operational and business decisions. The ideal candidate brings strong technical ability, careful attention to accuracy, and a service-oriented approach to improving reporting tools and data usability. Responsibilities: • Partner with departments across the organization to clarify reporting goals, uncover the underlying business question, and identify the most effective analytical approach. • Create, maintain, and enhance recurring and ad hoc reports using existing data sources, presenting information in formats that are easy for end users to understand and apply. • Translate user needs into reporting specifications, then coordinate validation and testing to confirm that delivered outputs are accurate and aligned with expectations. • Analyze datasets with appropriate statistical and logical methods to produce meaningful findings that support decision-making. • Explain report content, data definitions, and inclusion or exclusion criteria so stakeholders can interpret results with confidence. • Work with cross-functional teams to identify opportunities for better automation, stronger reporting processes, and more efficient delivery of analytics services. • Troubleshoot reporting issues, correct defects, and implement updates when changes in business logic or system development affect existing outputs. • Maintain documentation for completed requests, update shared libraries and project tracking tools, and support planning activities related to timelines and deliverables. • Perform audits of key reports, assist with analytics database testing, and contribute user stories or feedback to help ensure data accuracy and system performance. • Review report usage trends, provide ongoing user education, and recommend enhancements that increase adoption and improve report functionality.
2026-09-10T00:00:00Z

Data Analyst

New Orleans, Louisiana
onsite
Temporary to Hire
24 - 27 USD / Hourly
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts. Responsibilities: • Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity. • Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner. • Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information. • Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution. • Review invoice discrepancies and related exceptions to determine root causes and recommend next steps. • Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring. • Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
2026-09-21T00:00:00Z

Data Analyst

Atlanta, Georgia
onsite
Temporary to Hire
35.625 - 45 USD / Hourly
We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization. Responsibilities:• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.• Develop and run database queries to extract, organize, and interpret information from multiple sources.• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.• Work closely with cross-functional teams to support informed decision-making with timely analytical input.• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.
2026-08-21T00:00:00Z

Data Analyst

Moline, Illinois
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-08-28T00:00:00Z

Data Analyst

Oakland, California
onsite
Temporary / Contract
27 - 30 USD / Hourly
Data AnalystJob DescriptionSeeking a Data Analyst to collect, analyze, and interpret data to help drive business decisions and improve operational performance.Responsibilities<ul><li>Analyze large datasets and identify trends</li><li>Create reports, dashboards, and visualizations</li><li>Perform data validation and quality checks</li><li>Present findings and recommendations</li><li>Collaborate with cross-functional teams</li></ul>
2026-09-04T00:00:00Z

Data Analyst

Minneapolis, Minnesota
remote
Temporary / Contract
20 - 26 USD / Hourly
We are looking for a detail-oriented Data Analyst to support fee schedule oversight and claims-related analysis for healthcare programs. This Long-term Contract position will focus on monitoring reimbursement updates, identifying discrepancies, and helping maintain accurate configuration outcomes for a distributed team. Based in Minneapolis, Minnesota, this opportunity is well suited for someone who understands procedure coding, public payer reimbursement structures, and data validation in Excel. Flexible daytime hours are available, and the role offers the chance to contribute to high-visibility operational work in a remote environment. Responsibilities: • Review monthly Medicaid reimbursement updates across multiple states and document changes that affect fee schedule accuracy. • Track quarterly Medicare fee schedule revisions and translate findings into clear analysis for internal stakeholders. • Analyze daily claims reporting to identify pricing or configuration issues tied to fee schedules and coding logic. • Investigate variances in claim outcomes by comparing procedure codes, payer rules, and reimbursement references. • Support ongoing fee schedule maintenance by validating data elements used in system configuration activities. • Collaborate with a nine-member remote team to monitor operational trends and help resolve reimbursement-related exceptions. • Prepare organized Excel-based summaries, trackers, and audit files to support routine review cycles and issue follow-up.
2026-09-21T00:00:00Z

Data Analyst

King of Prussia, Pennsylvania
onsite
Temporary / Contract
0 - 0 USD / Yearly
Pricing/Data Analyst A client of ours is looking for a Pricing/Data Analyst for a contract. his role is responsible for managing customer membership eligibility, contract participation, pricing validation, and rebate-related data activities across GPOs, IDNs, Specialty Pharmacies, distributors, and other customer channels. The ideal candidate will possess strong analytical capabilities, advanced Excel skills, and direct experience working with Model N in a pharmaceutical environment. Responsibilities of Pricing/Data Analyst <ul><li>Manage customer membership additions, removals, and eligibility validation for GPOs, IDNs, Specialty Pharmacies, and other contracted customer segments.</li><li>Support membership onboarding activities and contract participation requests while ensuring compliance with approved contract terms.</li><li>Maintain and validate customer master data, including Class of Trade (COT), DEA, HIN, and other customer attributes.</li><li>Coordinate distributor membership communications and electronic data interchange (EDI) membership transmissions.</li><li>Monitor membership disconnects, pricing exceptions, discrepancies, and credit/rebill activity to ensure accurate contract execution.</li><li>Review contract compliance, membership activity, and pricing data utilizing Model N and related systems.</li><li>Analyze customer and contract data to identify inconsistencies, resolve issues, and improve data integrity.</li><li>Partner with internal stakeholders to support pricing operations, membership administration, and contract management initiatives.</li><li>Prepare reports, analyze trends, and provide recommendations to support business decisions and operational efficiency.</li><li>Ensure compliance with pharmaceutical contracting policies, procedures, and customer agreements.</li></ul>
2026-09-10T00:00:00Z

Data Analyst

Gainesville, Florida
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders. Responsibilities: • Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs. • Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time. • Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow. • Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards. • Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities. • Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed. • Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions. • Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
2026-09-18T00:00:00Z

Data Analyst

Dallas, Texas
onsite
Temporary / Contract
60 - 65 USD / Hourly
OverviewWe are seeking an experienced Data Analyst to support a large-scale healthcare data and reporting transformation initiative. This role is ideal for a hands-on analyst who is comfortable working with complex datasets, building reports and dashboards, and partnering with business stakeholders to ensure critical reporting remains accurate and available during system transitions. You will play a key role in maintaining reporting continuity, supporting data validation efforts, and delivering actionable insights in a fast-paced environment. POSITION: DATA ANALYSTLOCATION: REMOTEDURATION: CONTRACT RESPONSIBILITIES:<ul><li>Develop, maintain, and enhance reports and dashboards to support business and operational reporting needs.</li><li>Migrate and rebuild reporting assets as data sources and reporting requirements evolve.</li><li>Create and optimize SQL queries to extract, analyze, and validate data from enterprise data warehouse environments.</li><li>Build, maintain, and enhance Power BI reports, dashboards, and semantic data models.</li><li>Analyze reporting requirements and translate business needs into actionable data solutions.</li><li>Validate data accuracy, troubleshoot reporting discrepancies, and partner with technical teams to resolve issues.</li><li>Support data integration, reporting continuity, and analytics initiatives during system and process changes.</li><li>Collaborate with business stakeholders, analysts, and technical teams to prioritize and deliver reporting requests.</li><li>Document report logic, data sources, business rules, and reporting processes.</li><li>Provide analytical support across multiple projects while managing shifting priorities and deadlines.</li></ul>
2026-09-08T00:00:00Z

Data Analyst

Milwaukee, Wisconsin
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Analyst 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.
2026-08-25T00:00:00Z

Digital Web Manager

Minneapolis, Minnesota
onsite
Temporary to Hire
23.75 - 27.5 USD / Hourly
We are looking for a Digital Web Manager to lead and enhance the organization’s web presence in Minneapolis, Minnesota. This contract position offers a path to a permanent role and will focus on delivering audience-focused digital experiences that are measurable, accessible, and consistent with brand standards. The ideal candidate combines strong web content leadership with analytics expertise, using insights from user behavior and performance data to guide continuous improvement. This role works closely with cross-functional teams to ensure online experiences support business goals and evolve with changing digital needs. Responsibilities: • Oversee website content strategy, updates, and governance to maintain a high-quality, accurate, and engaging digital presence. • Use Google Analytics 4 and Google Tag Manager to track performance, interpret user behavior, and recommend data-driven improvements. • Partner with Marketing, IT, Loyalty, and Operations stakeholders to align website initiatives with organizational objectives and customer needs. • Manage content within the CMS, ensuring pages are structured effectively, optimized for usability, and consistent with brand guidelines. • Evaluate site performance and user journeys to identify opportunities that improve engagement, accessibility, and conversion outcomes. • Write, edit, and publish web content that supports business priorities while maintaining clarity, relevance, and consistency across the site. • Establish and monitor digital performance measures to ensure website experiences remain effective, measurable, and continuously refined. • Support digital enhancement initiatives, including web updates and platform-related changes, while minimizing disruption to the user experience.
2026-09-21T00:00:00Z

Data Scientist

Irmo, South Carolina
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs. Responsibilities:• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.• Design and implement machine learning models that address business challenges and support data-informed decision-making.• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.
2026-09-14T00:00:00Z

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