<p>Robert Half is working with a local healthcare organization looking for a dedicated Healthcare Analyst to join their team in Schenectady, New York. This direct-hire role is ideal for individuals with a strong background in healthcare finance or administration, particularly those skilled in Charge Description Master management and healthcare analytics. The position provides an opportunity to contribute to billing accuracy, compliance, and financial optimization. This role offers a flexible hybrid work schedule after initial on-site training.</p><p><br></p><p><strong><u>Responsibilities Include:</u></strong></p><p>• Oversee and maintain the Charge Description Master to ensure compliance, accuracy, and optimal reimbursement processes.</p><p>• Analyze financial and operational data within the healthcare sector to detect trends, risks, and areas for improvement.</p><p>• Assist in budgeting, forecasting, and performance reporting to enhance organizational efficiency.</p><p>• Design and implement reports and dashboards that focus on utilization, reimbursement, costs, and operational effectiveness.</p><p>• Collaborate with clinical, revenue cycle, compliance, and finance teams to support pricing, charge capture, and revenue integrity initiatives.\</p><p><br></p><p><strong><u>Salary Range:</u></strong> $60,000 - $85,000</p>
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.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
We are looking for a skilled Data Analyst to join our team in Modesto, California, within the healthcare industry. This Contract to permanent position offers an exciting opportunity to contribute to data reporting and system integration efforts that support behavioral health services. If you thrive in a collaborative environment and have a passion for leveraging technology to drive impactful outcomes, we encourage you to apply.<br><br>Responsibilities:<br>• Coordinate data reporting initiatives to ensure accuracy and consistency across systems.<br>• Conduct research to maintain compliance with state and federal behavioral health reporting regulations.<br>• Support integration efforts for electronic health record (EHR) systems and other organizational technologies.<br>• Collaborate with cross-functional teams to enhance data management and reporting processes.<br>• Utilize advanced analytical skills to support data-driven decision-making and improve service delivery.<br>• Monitor data quality and implement strategies to address discrepancies or inefficiencies.<br>• Provide technical expertise to optimize system performance and align with regulatory standards.<br>• Assist in developing documentation and training materials related to data reporting and system usage.<br>• Identify opportunities for process improvements and present actionable recommendations.<br>• Ensure the confidentiality and security of sensitive health information during data handling and reporting.
<p>We are hiring for an EMR Data Analyst and play a critical role in driving our data reporting and electronic health record (EHR) optimization initiatives! If you have a passion for healthcare data, analytical acumen, and a desire to work with EMR/EHR systems, we want to hear from you.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Collaborate across business and IT teams to manage EHR/EMR data retrieval, analysis, and reporting</li><li>Organize and communicate data findings to leadership, supporting strategic decision-making</li><li>Develop data solutions integrating multiple internal applications and platforms</li><li>Build and manage data reporting for both internal and external stakeholders</li><li>Ensure timely daily, monthly, and quarterly uploads and submissions as required</li><li>Maintain strict data security standards and access controls</li><li>Deliver ongoing user support, training, and onboarding for EMR software</li><li>Participate in meetings, training sessions, and other initiatives as assigned</li></ul>
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.<br><br>Responsibilities:<br>• Design and implement front-end and back-end software for complex desktop and web applications.<br>• Collaborate with business users and management to identify, analyze, and document application and reporting requirements.<br>• Develop stable and efficient solutions for Power BI reporting and application development projects.<br>• Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support.<br>• Utilize best practices in software development and explore innovative solutions to meet business objectives.<br>• Optimize database objects and ensure efficient data handling and retrieval.<br>• Apply Agile methodologies to project management and software development tasks.<br>• Create and maintain comprehensive documentation for business requirements and application designs.<br>• Work independently and as part of a team to deliver high-quality results.<br>• Support scheduled updates and releases with a focus on system stability and performance.
<p>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.</p><p><strong>Key Responsibilities:</strong></p><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><p><br></p>
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.<br><br>Responsibilities:<br>• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud.<br>• Develop and implement fraud analytics models to detect and prevent fraudulent activities.<br>• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports.<br>• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements.<br>• Utilize advanced data analysis techniques to enhance fraud detection processes.<br>• Prepare visualizations and presentations to communicate findings to stakeholders.<br>• Conduct thorough investigations into flagged transactions or activities and document findings.<br>• Support the development of automated tools and processes for fraud prevention.<br>• Stay updated on industry best practices and emerging technologies related to fraud analytics.<br>• Ensure compliance with regulatory requirements and company policies in all investigations.
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.<br><br>Responsibilities:<br>• Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance.<br>• Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements.<br>• Prepare and submit reimbursement documentation in alignment with organizational policies.<br>• Respond to inquiries from management and stakeholders in a timely and thorough manner.<br>• Utilize data manipulation tools and queries to analyze and interpret grant-related information.<br>• Create and maintain reports using Microsoft Access and Excel to support decision-making processes.<br>• Assist in organizing community events and initiatives tied to grant programs.<br>• Ensure data integrity and accuracy in all reporting and analysis efforts.<br>• Support the team with additional administrative tasks related to data management and grant tracking.
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.</p><p>• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.</p><p>• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.</p><p>• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.</p><p>• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.</p><p>• Present data findings and recommendations in a clear, concise manner to support business strategies.</p><p>• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.</p><p>• Develop methods to improve reporting processes and streamline data workflows.</p>
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.<br><br>Responsibilities:<br>• Gather, analyze, and interpret data from diverse sources to provide actionable insights for business decisions.<br>• Design and maintain Power BI dashboards, automated reports, and interactive visualizations.<br>• Develop and optimize SQL queries to extract, manipulate, and manage large datasets effectively.<br>• Utilize Python for data cleaning, automation, and performing advanced analytics.<br>• Conduct rigorous data validation, quality assurance checks, and reconciliation processes to ensure accuracy.<br>• Create scheduled and on-demand reports tailored to the needs of cross-functional teams.<br>• Identify trends, patterns, and anomalies in data to uncover opportunities for business growth.<br>• Collaborate with stakeholders to define key performance indicators (KPIs) and establish reporting strategies.<br>• Provide recommendations to improve data processes and enhance overall reporting efficiency.
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.<br><br>Responsibilities:<br>• Gather, clean, and validate data from various sources to ensure consistency and reliability.<br>• Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail.<br>• Support efforts related to data migration, integration, and quality assurance across systems.<br>• Generate timely and accurate reports in response to internal data requests.<br>• Identify and resolve data discrepancies by collaborating with relevant teams.<br>• Document data processes, workflows, and standards to ensure clarity and consistency.<br>• Partner with leadership to analyze data for insights that drive growth, efficiency, and impact.<br>• Conduct forecasting, trend analysis, and reporting to support decision-making.<br>• Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts.<br>• Present data findings in clear and accessible formats suitable for diverse audiences.
We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities.<br>• Develop and implement fraud detection strategies using advanced analytics and investigative techniques.<br>• Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives.<br>• Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions.<br>• Create reports and dashboards to communicate findings and support decision-making processes.<br>• Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness.<br>• Monitor ongoing transactions and activities to detect and mitigate potential fraud risks.<br>• Work closely with stakeholders to understand business needs and deliver impactful data analysis.<br>• Ensure the accuracy and integrity of data used for fraud analytics and reporting.<br>• Provide training and guidance to team members on fraud analytics best practices.
<p>We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><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>
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and refine existing workflows to eliminate inefficiencies and bottlenecks.</p><p>• Automate processes wherever possible to improve operational speed and accuracy.</p><p>• Collaborate with sales teams to enhance marketing strategies and align efforts.</p><p>• Track, compile, and analyze data to support informed decision-making.</p><p>• Redesign and optimize process flows to meet specific project goals and objectives.</p><p>• Maintain and update all documentation related to workflows and process improvements.</p><p>• Facilitate workshops to identify critical business challenges and propose solutions.</p><p>• Work closely with management to align processes with short-term and long-term organizational goals.</p><p>• Prepare and manage client-related data, including spreadsheets, notes, payment updates, and issue resolutions.</p><p>• Apply fraud analytics and investigation techniques to detect and mitigate risks.</p>
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.</p><p>• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.</p><p>• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.</p><p>• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.</p><p>• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.</p><p>• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.</p><p>• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.</p><p>• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.</p><p>• Provide historical data insights and predictive analysis to support campaign planning.</p><p>• Ensure compliance with industry regulations and internal standards in all data management and reporting activit</p>
<p><strong>Position Summary</strong></p><p>We are seeking a detail‑oriented <strong>Data Analyst</strong> to support our client. A key focus of this assignment will be finalizing and integrating the department’s <strong>legacy database</strong> into broader organizational data systems.</p><p>This role is ideal for someone who excels at translating complex data into clear insights for leadership.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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>
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
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.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
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.<br><br>Responsibilities:<br>• Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively.<br>• Utilize PeopleSoft to extract and manage data for reporting and analytical purposes.<br>• Conduct detailed investigations into suspected fraud cases and provide analytical insights.<br>• Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions.<br>• Collaborate with cross-functional teams to ensure data accuracy and integrity.<br>• Apply anti-fraud measures to detect and prevent fraudulent activities.<br>• Perform thorough data analysis to uncover trends and deliver actionable recommendations.<br>• Maintain documentation of findings and processes to support organizational transparency.<br>• Present findings and recommendations to stakeholders in a clear and concise manner.<br>• Continuously improve reporting processes and tools to enhance data-driven decision-making.
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.<br><br>Responsibilities:<br>• Perform detailed data analysis to identify trends, anomalies, and actionable insights.<br>• Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets.<br>• Collaborate with internal teams to support data-driven decision-making processes.<br>• Extract and process data from systems like Workday, ensuring accuracy and relevance.<br>• Adapt quickly to changing priorities and efficiently handle multiple tasks.<br>• Assist with fraud detection and prevention through data investigation and analytics.<br>• Prepare comprehensive reports and visualizations to effectively communicate findings.<br>• Support the implementation and optimization of tools such as Pave and Radford.<br>• Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals.<br>• Provide training and guidance on system usage and data interpretation as needed.
<p>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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.<br><br>Responsibilities:<br>• Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems.<br>• Develop and manage Azure-based Data Lakes and associated cloud data services.<br>• Lead large-scale data migration projects from on-premise systems to Azure cloud environments.<br>• Create scalable data models and curated datasets to support business intelligence and reporting.<br>• Ensure data integrity, quality, governance, and security throughout all workflows.<br>• Collaborate with technical and business teams to translate requirements into impactful data solutions.<br>• Optimize data architectures to improve performance and scalability.<br>• Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers.<br>• Monitor and troubleshoot data workflows to ensure seamless operations.
We are looking for a motivated Data Analyst to join our team in Pittsburgh, Pennsylvania. This contract-to-permanent position offers an exciting opportunity to work closely with finance teams, gaining hands-on experience with data systems and processes. The ideal candidate will be eager to learn and contribute to maintaining and improving our data operations.<br><br>Responsibilities:<br>• Collaborate with finance teams to understand and address data-related queries and issues.<br>• Learn and master the organization's data warehouse systems to provide effective support.<br>• Perform regular maintenance routines to ensure data systems are functioning optimally.<br>• Automate existing processes to enhance efficiency and accuracy.<br>• Gain familiarity with Oracle's EPM platform and its application in financial data analysis.<br>• Develop an understanding of hierarchy and dimensions within data structures.<br>• Participate in training sessions to expand knowledge of Oracle platforms and related tools.<br>• Implement solutions to streamline data workflows and operations.<br>• Work onsite for a majority of the workweek, adhering to the team's schedule.
<p>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.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Management & Preparation</strong></p><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><p><strong>Analysis & Reporting</strong></p><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><p><strong>SQL & Database Work</strong></p><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><p><strong>Advanced Analytics & Automation</strong></p><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><p><strong>Cross‑Functional Collaboration</strong></p><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><p><strong>Data Governance & Best Practices</strong></p><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><p><br></p>
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions.<br><br>Responsibilities:<br>• Resolve data-related incidents by updating records and querying various data sources.<br>• Apply specialist quality standards to maintain data integrity.<br>• Validate data accuracy across multiple systems to ensure consistency.<br>• Update client data based on specific requirements while adhering to service level agreements.<br>• Configure software applications both before and after system go-live.<br>• Collaborate with care organizations to gather and update data in alignment with requirements.<br>• Provide support in managing data updates and ensuring the availability of accurate information.<br>• Utilize advanced Excel formulas to standardize and compare data efficiently.<br>• Foster effective communication with clients and stakeholders to address data needs and changes.