190 results for Data Architect jobs

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
79.1635 - 91.663 USD / Hourly
We are looking for a highly skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work on cutting-edge data solutions and collaborate with cross-functional teams to deliver impactful results. The ideal candidate will possess strong technical expertise and a passion for creating efficient and scalable data systems. Responsibilities: • Design and implement scalable data architectures to support business needs and analytics requirements. • Develop and optimize ETL pipelines for data extraction, transformation, and loading across diverse data sources. • Collaborate with stakeholders to gather requirements and translate them into technical solutions. • Utilize tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data processing and real-time streaming. • Ensure data quality and security by implementing best practices and conducting thorough testing. • Develop and maintain technical documentation related to system design, development processes, and operational workflows. • Work with Agile teams to deliver solutions efficiently while actively participating in sprints and ceremonies. • Troubleshoot and resolve issues in existing data systems to maintain optimal performance. • Provide guidance and conduct code reviews for entry level team members. • Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.
2026-03-26T00:00:00Z

Data Engineer

Grandville, MI
remote
Contract / Temporary to Hire
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-03-25T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
Design, build, and optimize scalable data pipelines and data platforms within Azure environments. Collaborate with analytics and business teams to ensure reliable data ingestion, transformation, and accessibility for reporting and advanced analytics.
2026-03-18T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects. Responsibilities: • Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources. • Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies. • Create efficient, automated processes to handle repetitive data management tasks. • Conduct targeted data manipulation and analysis across diverse datasets. • Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats. • Document technical processes and solutions to ensure seamless collaboration and knowledge sharing. • Monitor and optimize system performance to ensure scalability and reliability. • Stay updated on emerging data engineering trends and incorporate them into workflows.
2026-03-27T00:00:00Z

Data Scientist

Miami, FL
onsite
Temporary
0 - 0 USD / Yearly
An organization operating at global scale is seeking a Senior Data Scientist to join its corporate data science team. This role goes far beyond traditional analytics—you will develop innovative data-driven technologies, advanced machine learning models, and decision‑support systems that directly influence strategic and operational outcomes across a complex aviation and logistics environment.The ideal candidate combines strong programming capability, deep machine learning expertise, and a solid foundation in operations research, along with the ability to clearly communicate technical insights to leaders across the business.If you’re excited about applying science, experimentation, and advanced analytics to solve real operational problems, this role is an excellent opportunity to make a measurable impact. Position SummaryAs a Senior Data Scientist, you will partner with engineering, product, and business teams to identify opportunities where data science can drive measurable value. You will lead end‑to‑end development of predictive and prescriptive models, contribute to experimentation frameworks, and help shape the organization’s long‑term data science strategy. This role also provides technical leadership and mentorship to junior data science team members. Key ResponsibilitiesStrategic & Technical Leadership<ul><li>Lead the planning, design, and execution of complex data science initiatives aligned with business objectives.</li><li>Translate ambiguous business requirements into well‑defined data science projects, deliverables, and timelines.</li><li>Partner with cross‑functional stakeholders to identify impactful use cases across operations and corporate functions.</li></ul>Data Science & Modeling<ul><li>Develop predictive, prescriptive, and optimization models to enhance operational efficiency and strategic planning.</li><li>Design and run experiments to test hypotheses and measure impact using statistical methods.</li><li>Perform exploratory data analysis to uncover insights, trends, and relationships across large and complex datasets.</li><li>Build and maintain decision‑support tools powered by machine learning and operations research techniques.</li><li>Monitor model performance in production and iterate as needed.</li></ul>Data Engineering & Analysis<ul><li>Collect, clean, and process structured and unstructured data from internal and external sources.</li><li>Perform ETL tasks, develop data pipelines, and apply advanced data preparation techniques.</li><li>Use tools such as SQL, Python, R, Pandas, Spark, or similar frameworks to analyze large datasets.</li></ul>Communication & Collaboration<ul><li>Create compelling visualizations, dashboards, and presentations to communicate complex insights to technical and non‑technical audiences.</li><li>Provide mentorship, guidance, and subject‑matter expertise to junior data scientists.</li><li>Contribute to the evaluation and adoption of emerging technologies, modeling techniques, and industry best practices.</li></ul>
2026-03-23T00:00:00Z

Data Scientist

Cincinnati, OH
onsite
Temporary
57.95 - 67.1 USD / Hourly
We are looking for a skilled Data Scientist to join our team on a long-term contract basis. This role involves designing innovative data models, ensuring data quality, and integrating diverse data ecosystems to support advanced audience insights and campaign management. If you have a passion for leveraging big data technologies to drive impactful results, we encourage you to apply. Responsibilities:• Develop scalable data architectures and pipelines to support real-time audience data processing and activation.• Design and optimize graph models for representing complex relationships between individuals, devices, and households.• Integrate data from various platforms, including DSPs, SSPs, DMPs, CDPs, and clean rooms, to enable audience onboarding and campaign measurement.• Establish and maintain data validation, deduplication, and matching pipelines to ensure data accuracy and compliance with privacy regulations.• Collaborate with cross-functional teams, including Data Science, Product, and Ad Operations, to operationalize audience data within workflows and optimization platforms.• Build dashboards and monitoring tools to track performance metrics such as data quality, match rates, and audience graph efficiency.• Create and maintain data models and pipelines to support household graph development and campaign lifecycle management.• Integrate identity provider data with first-party data to enhance audience insights.• Ensure data systems are optimized for scalability and performance, managing billions of identifiers across millions of households.
2026-03-27T00:00:00Z

Data Scientist

Saint Louis, MO
onsite
Temporary
50 - 70 USD / Hourly
About the RoleWe’re seeking a Data Scientist to help build predictive models, develop advanced analytics solutions, and uncover insights that drive strategic decision‑making. This role partners closely with data engineering, analytics, business leaders, and product stakeholders to solve complex problems using statistical modeling, machine learning, and exploratory analysis.Key Responsibilities<ul><li>Build, train, and validate predictive and statistical models using Python, R, or similar tools.</li><li>Conduct data exploration, feature engineering, and hypothesis testing across large, complex datasets.</li><li>Develop machine learning pipelines and deploy models into production environments.</li><li>Partner with cross‑functional teams to translate business needs into analytical solutions.</li><li>Build dashboards, presentations, and visualizations to communicate insights clearly.</li><li>Evaluate model performance and monitor metrics to ensure operational accuracy and stability.</li><li>Work with data engineers on data quality, pipeline optimization, and scalable architectures.</li><li>Document methodologies, assumptions, and model outputs for technical and non‑technical audiences.</li></ul>
2026-03-20T00:00:00Z

Database Engineer

Cleveland, OH
onsite
Permanent
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-03-24T00:00:00Z

Data Analyst

Kansas City, MO
onsite
Permanent
65000 - 70000 USD / Yearly
We are looking for a detail-oriented Data Analyst to oversee grant-related processes and manage communications with community partners. The ideal candidate will ensure accurate tracking, submission of reimbursements, and provide timely responses to inquiries from management. This position offers an opportunity to contribute to impactful community initiatives while applying strong data analysis skills. Responsibilities: • Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance. • Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements. • Prepare and submit reimbursement documentation in alignment with organizational policies. • Respond to inquiries from management and stakeholders in a timely and thorough manner. • Utilize data manipulation tools and queries to analyze and interpret grant-related information. • Create and maintain reports using Microsoft Access and Excel to support decision-making processes. • Assist in organizing community events and initiatives tied to grant programs. • Ensure data integrity and accuracy in all reporting and analysis efforts. • Support the team with additional administrative tasks related to data management and grant tracking.
2026-03-11T00:00:00Z

Data Analyst

Los Angeles, CA
onsite
Temporary
38 - 44 USD / Hourly
We are looking for a skilled Data Analyst to join our team in Los Angeles, California, on a long-term contract basis. This role offers an exciting opportunity to contribute to fraud detection and prevention efforts by leveraging advanced data analytics. You will play a pivotal role in analyzing complex datasets and providing actionable insights to support anti-fraud initiatives. Responsibilities: • Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud. • Develop and implement fraud analytics models to detect and prevent fraudulent activities. • Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports. • Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements. • Utilize advanced data analysis techniques to enhance fraud detection processes. • Prepare visualizations and presentations to communicate findings to stakeholders. • Conduct thorough investigations into flagged transactions or activities and document findings. • Support the development of automated tools and processes for fraud prevention. • Stay updated on industry best practices and emerging technologies related to fraud analytics. • Ensure compliance with regulatory requirements and company policies in all investigations.
2026-03-17T00:00:00Z

Data Analyst

Wilmington, DE
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Wilmington, Delaware. In this role, you will play a pivotal part in designing and developing software solutions for both desktop and web applications. You will collaborate closely with business stakeholders to understand and document requirements, ensuring the delivery of robust and effective reporting and application solutions. Responsibilities: • Design and implement front-end and back-end software for complex desktop and web applications. • Collaborate with business users and management to identify, analyze, and document application and reporting requirements. • Develop stable and efficient solutions for Power BI reporting and application development projects. • Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support. • Utilize best practices in software development and explore innovative solutions to meet business objectives. • Optimize database objects and ensure efficient data handling and retrieval. • Apply Agile methodologies to project management and software development tasks. • Create and maintain comprehensive documentation for business requirements and application designs. • Work independently and as part of a team to deliver high-quality results. • Support scheduled updates and releases with a focus on system stability and performance.
2026-03-23T00:00:00Z

Data Analyst

Miami, FL
onsite
Temporary
26 - 34 USD / Hourly
Our company is seeking a motivated Data Analyst with expertise in SQL to join our growing team. In this role, you will leverage your analytical skills to turn data into actionable insights, helping our organization make data-driven decisions. You will work closely with stakeholders across departments to define analysis needs, prepare and interpret datasets, and deliver meaningful reports and visualizations.Key Responsibilities:<ul><li>Extract, clean, and analyze large datasets using SQL.</li><li>Develop, optimize, and maintain SQL queries, scripts, and procedures for data extraction and reporting.</li><li>Produce insightful analysis, dashboards, and reports for cross-functional teams to support key business initiatives.</li><li>Work closely with business partners to understand requirements and translate them into analytical solutions.</li><li>Identify opportunities to improve data quality, processes, and reporting efficiency.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Stay current on best practices and recent advancements in data analytics and reporting tools</li></ul>
2026-03-09T00:00:00Z

Data Analyst

Delray Beach, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment. Responsibilities: • Gather, clean, and validate data from various sources to ensure consistency and reliability. • Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail. • Support efforts related to data migration, integration, and quality assurance across systems. • Generate timely and accurate reports in response to internal data requests. • Identify and resolve data discrepancies by collaborating with relevant teams. • Document data processes, workflows, and standards to ensure clarity and consistency. • Partner with leadership to analyze data for insights that drive growth, efficiency, and impact. • Conduct forecasting, trend analysis, and reporting to support decision-making. • Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts. • Present data findings in clear and accessible formats suitable for diverse audiences.
2026-02-27T00:00:00Z

Data Analyst

Fort Lauderdale, FL
onsite
Temporary
25 - 32 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Fort Lauderdale. In this role, you will use your analytical expertise to transform complex data into meaningful insights that drive strategic decision-making. Collaborating with various teams, you will play a key role in refining data processes and creating impactful reports to support our organizational goals. Responsibilities:• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.• Present data findings and recommendations in a clear, concise manner to support business strategies.• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.• Develop methods to improve reporting processes and streamline data workflows.
2026-03-09T00:00:00Z

Data Analyst

Tonawanda, NY
onsite
Contract / Temporary to Hire
23.75 - 27.5 USD / Hourly
We are looking for a detail-oriented Part Time Data Analyst to join our team in Tonawanda, New York. This Contract to permanent position is ideal for someone who excels at refining workflows, streamlining processes, and enhancing business efficiency. The role requires a focus on improving operational quality, reducing costs, and delivering actionable insights through data analysis. Responsibilities:• Analyze and refine existing workflows to eliminate inefficiencies and bottlenecks.• Automate processes wherever possible to improve operational speed and accuracy.• Collaborate with sales teams to enhance marketing strategies and align efforts.• Track, compile, and analyze data to support informed decision-making.• Redesign and optimize process flows to meet specific project goals and objectives.• Maintain and update all documentation related to workflows and process improvements.• Facilitate workshops to identify critical business challenges and propose solutions.• Work closely with management to align processes with short-term and long-term organizational goals.• Prepare and manage client-related data, including spreadsheets, notes, payment updates, and issue resolutions.• Apply fraud analytics and investigation techniques to detect and mitigate risks.
2026-03-27T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Contract / Temporary to Hire
39.5865 - 45.837 USD / Hourly
We are looking for a skilled Data Analyst to join our team in Jacksonville, Florida. This Contract to permanent position is ideal for someone who excels at transforming complex datasets into meaningful insights and actionable reports. The role involves leveraging technical expertise to support decision-making and drive business improvements through advanced analytics. Responsibilities: • Gather, analyze, and interpret data from diverse sources to provide actionable insights for business decisions. • Design and maintain Power BI dashboards, automated reports, and interactive visualizations. • Develop and optimize SQL queries to extract, manipulate, and manage large datasets effectively. • Utilize Python for data cleaning, automation, and performing advanced analytics. • Conduct rigorous data validation, quality assurance checks, and reconciliation processes to ensure accuracy. • Create scheduled and on-demand reports tailored to the needs of cross-functional teams. • Identify trends, patterns, and anomalies in data to uncover opportunities for business growth. • Collaborate with stakeholders to define key performance indicators (KPIs) and establish reporting strategies. • Provide recommendations to improve data processes and enhance overall reporting efficiency.
2026-03-19T00:00:00Z

Data Analyst

Irvine, CA
onsite
Permanent
140000 - 170000 USD / Yearly
We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth. Responsibilities:• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.• Provide historical data insights and predictive analysis to support campaign planning.• Ensure compliance with industry regulations and internal standards in all data management and reporting activit
2026-03-03T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary
28 - 32 USD / Hourly
We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery. Key Responsibilities:<ul><li>Execute manual QA testing activities in a weekly release cycle.</li><li>Perform thorough scope testing and regression testing for every release.</li><li>Conduct hands-on testing of Salesforce applications.</li><li>Test integrations with other platforms and validate APIs.</li><li>Create and expand test cases rooted in impacted functionality and new requirements.</li><li>Collaborate closely with developers, product managers, and business stakeholders to understand requirements, priorities, and areas affected by code changes.</li><li>Identify bugs early in the lifecycle before code reaches production.</li><li>Work independently with minimal supervision, proactively raising potential quality concerns.</li><li>Leverage tools such as Postman for API testing.</li><li>Document detailed defect reports and track issues to resolution.</li></ul>
2026-03-10T00:00:00Z

Data Analyst

Richmond, VA
onsite
Temporary
34.0385 - 39.413 USD / Hourly
Position SummaryWe are seeking a detail‑oriented Data Analyst to support our client. A key focus of this assignment will be finalizing and integrating the department’s legacy database into broader organizational data systems.This role is ideal for someone who excels at translating complex data into clear insights for leadership. Key Responsibilities<ul><li>Conduct research and analysis on housing, economic, and demographic trends.</li><li>Evaluate internal data to assess current and emerging housing needs.</li><li>Interpret and communicate the policy implications of research findings for managerial decision‑makers.</li><li>Finalize and support integration of the legacy database with organizational data programs.</li><li>Prepare written reports, dashboards, graphics, and presentations that summarize complex data clearly and concisely.</li><li>Utilize PowerBI or Tableau to develop dashboards and data visualizations.</li><li>Maintain and enhance databases using MS Access and Excel.</li><li>Create presentations and briefing materials using MS PowerPoint.</li><li>(Preferred) Use GIS tools and databases to analyze spatial housing and community development trends.</li></ul>
2026-03-13T00:00:00Z

Data Analyst

Glendale, CA
onsite
Temporary
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation. Responsibilities:• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.• Develop and implement fraud detection models and algorithms to enhance risk management.• Investigate suspicious transactions and activities to identify potential fraud cases.• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.• Monitor and refine anti-fraud systems based on emerging threats and trends.• Conduct research to stay informed about new fraud schemes and data analysis techniques.• Ensure data integrity and accuracy while working with sensitive information.• Provide actionable insights that help drive business decisions and improve operational efficiency.
2026-03-26T00:00:00Z

Data Analyst

Cambridge, MA
onsite
Temporary
55.4135 - 64.163 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals. Responsibilities: • Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively. • Utilize PeopleSoft to extract and manage data for reporting and analytical purposes. • Conduct detailed investigations into suspected fraud cases and provide analytical insights. • Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions. • Collaborate with cross-functional teams to ensure data accuracy and integrity. • Apply anti-fraud measures to detect and prevent fraudulent activities. • Perform thorough data analysis to uncover trends and deliver actionable recommendations. • Maintain documentation of findings and processes to support organizational transparency. • Present findings and recommendations to stakeholders in a clear and concise manner. • Continuously improve reporting processes and tools to enhance data-driven decision-making.
2026-03-26T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary
38 - 45 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-03-17T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-03-24T00:00:00Z

Data Analyst

Palo Alto, CA
onsite
Temporary
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely. Responsibilities: • Perform detailed data analysis to identify trends, anomalies, and actionable insights. • Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets. • Collaborate with internal teams to support data-driven decision-making processes. • Extract and process data from systems like Workday, ensuring accuracy and relevance. • Adapt quickly to changing priorities and efficiently handle multiple tasks. • Assist with fraud detection and prevention through data investigation and analytics. • Prepare comprehensive reports and visualizations to effectively communicate findings. • Support the implementation and optimization of tools such as Pave and Radford. • Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals. • Provide training and guidance on system usage and data interpretation as needed.
2026-03-25T00:00:00Z

Data Analyst

Palm Beach Gardens, FL
onsite
Temporary
0 - 0 USD / Yearly
The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.Key ResponsibilitiesData Management & Preparation<ul><li>Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms.</li><li>Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments.</li><li>Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues.</li></ul>Analysis & Reporting<ul><li>Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights.</li><li>Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker.</li><li>Prepare regular operational, financial, or performance reports for business units and leadership.</li><li>Translate business questions into analytical approaches and summarize findings clearly for stakeholders.</li></ul>SQL & Database Work<ul><li>Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases.</li><li>Optimize query performance and support development of reusable SQL logic for reporting and analytics.</li><li>Collaborate with data engineers on schema changes, new data pipelines, and data model improvements.</li></ul>Advanced Analytics & Automation<ul><li>Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort.</li><li>Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed.</li><li>Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives.</li></ul>Cross‑Functional Collaboration<ul><li>Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions.</li><li>Gather user requirements, define scope, and manage expectations throughout analytics projects.</li><li>Present insights and recommendations to leadership in a clear, structured format.</li></ul>Data Governance & Best Practices<ul><li>Ensure compliance with internal data standards, privacy rules, and access policies.</li><li>Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business.</li><li>Support continuous improvement of analytics processes, dashboards, and metrics.</li></ul>
2026-03-13T00:00:00Z

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