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.
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>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.
<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.
<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>
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>
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.
<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 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.
<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><strong>About the Role</strong></p><p>We’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</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.
<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 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.
<p>The Data Migration Specialist is responsible for planning, executing, validating, and reconciling data migrations from legacy systems into ERP and operational platforms. This role ensures that historical and transactional data is migrated accurately, completely, and in alignment with business and regulatory requirements.</p><p>This role is execution-focused and works within the standards defined by the Data Architect.</p><p>Key responsibilities</p><p>Migration planning and execution</p><ul><li>Analyze legacy data sources and assess data readiness for migration.</li><li>Develop data extraction, transformation, and load (ETL) plans aligned to target systems.</li><li>Build and execute migration scripts, tools, and repeatable migration processes.</li><li>Perform mock conversions and final production cutovers.</li></ul><p>Data mapping and transformation</p><ul><li>Create detailed source-to-target mapping documents.</li><li>Apply transformation rules, data cleansing logic, and enrichment where required.</li><li>Validate that migrated data aligns with target ERP configuration and business rules.</li></ul><p>Data validation and reconciliation</p><ul><li>Perform row-level and aggregate reconciliations pre- and post-migration.</li><li>Validate financial balances, open transactions, and historical records.</li><li>Partner with finance and operations teams to confirm business signoff.</li><li>Document issues, resolutions, and lessons learned for reuse.</li></ul><p>ERP and OpCo rollout support</p><ul><li>Support phased ERP and OpCo migrations.</li><li>Participate in cutover planning and execution.</li><li>Support hypercare by resolving migration-related defects and data issues.</li><li>Maintain migration runbooks and documentation.</li></ul><p><br></p>
<p>We are looking for a skilled Master Data Analyst to play a critical role in managing and maintaining master data across various platforms. In this long-term contract position, you will ensure data accuracy, integrity, and compliance with industry standards while collaborating with cross-functional teams to optimize system performance. Based in Northern KY, this role offers an opportunity to contribute to global data harmonization initiatives and support business intelligence efforts. This is a 6-month contract opportunity - <strong>hybrid with 3 days onsite</strong>. No remote availability for this role.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain accurate master data for finished goods across multiple platforms, adhering to established standards.</p><p>• Collaborate with corporate IT teams to enhance system performance and implement data optimization strategies.</p><p>• Oversee the publication process to ensure accurate data sharing with customers through designated platforms.</p><p>• Conduct regular data audits and utilize customer scorecards to verify the integrity of master data.</p><p>• Ensure compliance with GS1 guidelines, including updates to product dimensions, weights, and hierarchical information.</p><p>• Partner with cross-functional teams to verify the accuracy of nutritional, allergen, and barcode information on artwork.</p><p>• Develop and manage bills of materials (BOMs) and routers for co-packed manufacturing operations.</p><p>• Lead initiatives to harmonize global data standards across U.S. and Canadian operations.</p><p>• Manage the lifecycle of items, including the setup of new products and the obsolescence of outdated items.</p><p>• Provide key metrics and analytics to track the efficiency of new product introductions and other data processes.</p>
<p>We are looking for an experienced Data Analyst III to join our team. In this role, you will apply advanced mathematical and data modeling techniques to deliver insightful business analyses and recommendations. You will collaborate with multiple business groups and senior stakeholders to drive informed decision-making and enhance processes. This is a long-term contract position offering an exciting opportunity to work on complex projects and influence strategic outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Conduct detailed analyses to identify trends and provide actionable recommendations for business solutions.</p><p>• Summarize and present findings through reports, charts, and presentations to stakeholders.</p><p>• Develop and refine analytical models to support future business decisions.</p><p>• Collaborate with business teams to gather requirements and design effective data analysis strategies.</p><p>• Retrieve, verify, and prepare data from various sources for accurate reporting.</p><p>• Create advanced queries and tools to simplify data management and reporting processes.</p><p>• Forecast outcomes and analyze trends to support strategic planning and process improvements.</p><p>• Act as a liaison between departments, providing data-driven insights and answering queries about business processes.</p><p>• Mentor and guide less experienced team members, assigning tasks and ensuring project deliverables.</p><p>• Support cross-functional projects and provide input to external groups, vendors, or agencies as needed.</p>
<p>We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.</p><p>• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.</p><p>• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.</p><p>• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.</p><p>• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.</p><p>• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.</p><p>• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.</p><p>• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.</p><p>• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.</p>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
We are looking for a skilled Technical Business Analyst with expertise in data analysis to join our team in White Plains, New York. In this role, you will bridge the gap between business needs and technical solutions, ensuring data processes align with organizational goals. If you have a strong analytical background and experience working with data platforms and visualization tools, we encourage you to apply.<br><br>Responsibilities:<br>• Analyze and interpret complex datasets to identify trends and deliver actionable insights.<br>• Collaborate with stakeholders to gather and translate business requirements into technical solutions.<br>• Design and implement data pipelines using tools such as Python or Java to automate workflows.<br>• Optimize database performance and manage data warehousing using platforms like Microsoft SQL Server.<br>• Utilize cloud services, such as AWS or Azure, to support scalable data solutions.<br>• Develop and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Create dynamic dashboards and visualizations using tools like Tableau or Power BI.<br>• Ensure data integrity and accuracy through rigorous testing and validation.<br>• Provide technical support and training to non-technical team members.<br>• Document processes and workflows to ensure clarity and continuity.
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>An organization operating at global scale is seeking a <strong>Senior Data Scientist</strong> 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.</p><p>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.</p><p>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.</p><p><br></p><p><strong>Position Summary</strong></p><p>As 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Strategic & Technical Leadership</strong></p><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><p><strong>Data Science & Modeling</strong></p><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><p><strong>Data Engineering & Analysis</strong></p><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><p><strong>Communication & Collaboration</strong></p><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><p><br></p>