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315 results for Data Analyst Technology jobs

Data Engineer

Austin, TX
onsite
Temporary / Contract
62 - 65 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Engineer (contract). In this role, you will provide both technical and project leadership in designing, developing, and optimizing modern data solutions. This role will partner closely with business and technology stakeholders to deliver scalable data pipelines, drive data strategy initiatives, and lead cross-functional teams in a fast-paced enterprise environment. This role is hybrid in Austin, Tx. Key Responsibilities:<ul><li>Lead the design, development, and delivery of enterprise data engineering and integration initiatives.</li><li>Partner with business stakeholders to gather requirements, define solutions, and ensure successful project execution.</li><li>Drive Agile delivery practices while supporting strategic business priorities and innovation initiatives.</li><li>Architect, build, and optimize scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.</li><li>Develop and maintain robust ETL/ELT processes to integrate data from multiple enterprise systems and external sources.</li><li>Implement data quality controls, validation processes, and monitoring frameworks to ensure data accuracy and reliability.</li><li>Mentor and guide junior engineers, fostering technical growth and supporting team success.</li><li>Establish and maintain data security, governance, and access control standards.</li><li>Collaborate with product owners, engineering teams, analysts, QA, operations, and project stakeholders to deliver high-quality solutions.</li><li>Translate business requirements into technical specifications, data mappings, and implementation plans.</li><li>Identify project risks, dependencies, and technical challenges while developing mitigation strategies.</li><li>Create and maintain documentation for deployments, support procedures, and operational processes.</li><li>Support deployment automation, application support efforts, and continuous process improvement initiatives.</li><li>Coordinate with distributed teams across multiple locations and time zones to drive successful project outcomes.</li></ul>
2026-09-02T00:00:00Z

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.
2026-08-21T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-08-21T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms. Responsibilities: • Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use. • Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale. • Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources. • Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery. • Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations. • Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes. • Apply sound data management practices to ensure consistency, usability, and governance across data assets. • Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices. • Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
2026-09-09T00:00:00Z

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.
2026-09-15T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-09-15T00:00:00Z

Data Engineer

Portland, ME
remote
Permanent / Full Time
88000 - 133000 USD / Yearly
We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery. Responsibilities:• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.• Manage code and workflow changes through version control practices to support traceability and controlled deployment.• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.
2026-09-09T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a full time 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.
2026-08-26T00:00:00Z

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. ***
2026-09-02T00:00:00Z

Data Engineer

Dallas, TX
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

Coppell, TX
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

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 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

Cincinnati, OH
remote
Temporary / Contract
50 - 70 USD / Hourly
We are looking for a Data Engineer to support a remote Contract engagement. This role focuses on strengthening device management and compliance operations while helping ensure policies are effectively defined, validated, and enforced across the environment. The ideal candidate brings a strong technical background in data and systems engineering, along with hands-on experience working with modern platforms and compliance-focused workflows. Responsibilities:• Assess existing device management policies to determine effectiveness, identify gaps, and document areas requiring remediation.• Convert validated policy frameworks into Intune configurations and help align enforcement rules with operational needs.• Contribute to the migration of approximately 300 devices from Jamf into Intune while maintaining stability and user readiness.• Support FIDO2 compliance initiatives and help implement device compliance standards across managed endpoints.• Monitor policy behavior after deployment, troubleshoot issues, and refine configurations to improve consistency and control.• Partner with technical stakeholders to translate business and security requirements into practical management policies.• Use scripting and data engineering tools to analyze operational data, automate repeatable tasks, and improve reporting visibility.
2026-09-14T00:00:00Z

Data Engineer

Coppell, TX
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.
2026-09-14T00:00:00Z

Data Engineer

Chicago, IL
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 Engineer

Chicago, IL
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

Chicago, IL
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 Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-09-15T00:00:00Z

Healthcare SQL/Python Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply. Responsibilities: • Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets. • Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs. • Utilize Python for advanced data processing, automation, and analytical tasks. • Integrate and manage data from multiple sources, ensuring accuracy and consistency. • Collaborate with stakeholders to gather requirements and translate them into actionable data solutions. • Design and generate reports using SSRS to present findings to internal teams and leadership. • Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems. • Troubleshoot and resolve issues related to data quality, integration, and system performance. • Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
2026-09-09T00:00:00Z

Director of Data Analytics

Columbia, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Director of Data Analytics to lead and expand a growing analytics function in Columbia, South Carolina. This leader will combine technical depth with strategic direction to strengthen enterprise reporting, advance data governance practices, and build strong partnerships across the institution. The role is well suited for someone who enjoys balancing hands-on problem solving with team leadership and is ready to shape a modern analytics capability. Responsibilities:• Lead the institution’s data analytics strategy while serving as a key member of the analytics leadership team.• Oversee the development of internal reporting capabilities, reducing reliance on external reporting support and improving access to actionable insights.• Guide the continued growth of the analytics team by recruiting, mentoring, and structuring roles across management, engineering, and analyst functions.• Partner with administrative and academic stakeholders to understand reporting needs and translate them into scalable data solutions.• Direct data warehouse and ingestion efforts to ensure reliable, consistent, and well-organized data for reporting and analysis.• Establish and strengthen data governance standards that improve data quality, stewardship, and institutional trust in reporting.• Support the evaluation and adoption of business intelligence tools, including cloud-based visualization platforms and enterprise reporting technologies.• Contribute both strategically and technically by helping design data architecture, advising on engineering practices, and supporting complex analytics initiatives
2026-09-01T00:00:00Z

Junior Data Analyst

Wayne, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a detail-oriented Junior Data Analyst to support critical data quality and Master Data Management (MDM) initiatives. This is an excellent opportunity for an early-career data professional who enjoys working with data, troubleshooting quality issues, and ensuring information is accurate and reliable across enterprise systems. Key Responsibilities<ul><li>Review and investigate data records that fail automated matching and validation processes.</li><li>Research and resolve data discrepancies, duplicates, and data quality exceptions.</li><li>Perform data cleansing activities, including standardization, formatting corrections, validation, and deduplication.</li><li>Monitor data quality dashboards, exception reports, and remediation queues.</li><li>Conduct root cause analysis to identify recurring data issues and recommend improvements.</li><li>Support the onboarding and ongoing maintenance of a Master Data Management (MDM) platform.</li><li>Collaborate with business stakeholders to ensure accurate data entry and data governance practices.</li><li>Document remediation activities and maintain audit trails for compliance and reporting purposes.</li><li>Assist in maintaining accurate customer, partner, and enterprise master data records.</li></ul>
2026-09-11T00:00:00Z

Business Analyst

Fort Washington, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Business Analyst to join a long-term contract opportunity in Fort Washington, Pennsylvania. In this role, you will connect business stakeholders and technical teams, turning operational needs into practical system and process solutions. The position calls for strong analytical thinking, clear documentation, and effective collaboration across project teams working within an agile environment. Responsibilities: • Partner with business and IT teams to evaluate needs, clarify priorities, and recommend system or process improvements that support organizational goals. • Gather, analyze, and document current-state workflows and future-state solutions, including meeting notes, decisions, dependencies, and project risks. • Lead requirements sessions with stakeholders to define end-to-end business needs and identify opportunities for process redesign or new technology capabilities. • Produce detailed functional, reporting, security, and business requirements and work closely with developers to support solution design and delivery. • Contribute to agile project activities by helping prepare sprint plans, writing user stories, defining acceptance criteria, and supporting status reporting. • Assist with software enhancements and implementation efforts by developing analysis that supports business cases, solution options, and project decisions. • Coordinate assigned project tasks to keep deliverables on schedule, and provide support for smaller initiatives or workstreams when needed. • Support testing activities by partnering with quality assurance teams, performing unit or business-side validation, and confirming that delivered features meet business expectations. • Serve as the primary liaison across project managers, technical teams, QA, and business units to promote alignment and resolve application or system issues efficiently.
2026-09-08T00:00:00Z

Business Analyst

Lititz, PA
onsite
Permanent / Full Time
90000 - 97000 USD / Yearly
We are looking for a Business Analyst to support and strengthen business-to-business integration capabilities for a growing organization in Lititz, Pennsylvania. This role focuses on improving connectivity with external partners, supporting marketplace data flows, and helping ensure core integration platforms operate reliably. The ideal candidate will work across technical and business teams to solve issues, identify improvement opportunities, and help deliver integration solutions that support revenue growth and operational efficiency. Responsibilities: • Manage and support electronic connections with external trading partners using established integration methods and related technologies. • Maintain and enhance product information distribution across marketplace and syndication channels to support accurate and timely data sharing. • Provide functional and operational support for enterprise applications and middleware that enable B2B data exchange. • Investigate interface failures, resolve issues promptly, and address underlying causes to reduce recurring disruptions. • Gather business needs and help design new partner integrations that align with operational and commercial objectives. • Recommend and implement improvements that increase the stability, scalability, and overall value of integration processes. • Collaborate with sales, marketing, IT, and other stakeholders to align integration priorities with strategic business needs. • Promote current integration standards and best practices to improve consistency, performance, and long-term supportability. • Contribute to multiple initiatives simultaneously, including work involving cloud platform integration and other middleware solutions.
2026-09-09T00:00:00Z

Business Analyst

Laconia, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Love solving business problems with technology? We're looking for a Systems Analyst to help a growing organization get the most out of Microsoft 365, including SharePoint, Teams, OneDrive, Power BI, Power Automate, and more. What you'll do:<ul><li>Improve business processes using Microsoft 365 tools</li><li>Build and support SharePoint sites, workflows, and reports</li><li>Help users work smarter (and spend less time hunting for files!)</li><li>Partner with teams to turn ideas into practical solutions</li></ul>If you're the person everyone calls when Teams, SharePoint, or Power BI can "probably do that," we'd love to talk. 🚀
2026-09-15T00:00:00Z

Business Analyst

Rolling Meadows, IL
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Business Analyst to support service-focused operations within our Financial Services team in Rolling Meadows, Illinois. This role works closely with stakeholders to evaluate business needs, improve customer service workflows, and translate findings into practical recommendations. The ideal candidate brings strong analytical thinking, experience reviewing operational documents, and the ability to contribute effectively within an Agile Scrum environment. Responsibilities: • Gather and interpret business needs from stakeholders to define clear objectives, process improvements, and support priorities. • Analyze call center and customer service operations to identify inefficiencies, service gaps, and opportunities to improve the client experience. • Review business and operational documentation to confirm accuracy, completeness, and alignment with established requirements. • Perform gap analysis to compare current processes with desired outcomes and recommend actionable solutions. • Create and maintain business requirements, process maps, user stories, and related project documentation for cross-functional teams. • Partner with Scrum team members during planning, refinement, and review activities to help move initiatives forward effectively. • Support testing and validation efforts by confirming that delivered solutions meet business expectations and documented needs.
2026-09-09T00:00:00Z

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