We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities.<br><br>Responsibilities:<br>• Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals.<br>• Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies.<br>• Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies.<br>• Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making.<br>• Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities.<br>• Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations.<br>• Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact.<br>• Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed.<br>• Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access.<br>• Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes.<br><br>Responsibilities:<br>• Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions.<br>• Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals.<br>• Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations.<br>• Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans.<br>• Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences.<br>• Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making.<br>• Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture.<br>• Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution.<br>• Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support.<br>• Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
<p><strong>Healthcare Data Analyst </strong></p><p>We’re seeking a Data Analyst to join a healthcare company and help drive improved patient outcomes through data-driven insights. In this role, you will analyze clinical and operational data to identify trends, support quality improvement initiatives, and enhance overall care delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain reports and interactive dashboards </li><li>Analyze patient, quality, and operational data to identify opportunities for improvements</li></ul><p><strong>Qualifications:</strong></p><ul><li>Experience working with healthcare data in a hospital or clinical environment</li><li>Strong skills in reporting and dashboard tools (e.g., Power BI, Tableau, or similar)</li><li>Proficiency in SQL and/or Excel for data analysis</li><li>Ability to communicate findings clearly to both technical and non-technical audiences</li></ul><p><br></p>
We are looking for a Data Analyst to join our team and turn complex business data into clear, actionable direction. In this role, you will shape reporting standards, uncover performance trends, and build analytical solutions that support operational and strategic decisions. This position also plays an important part in strengthening enterprise data capabilities through scalable models, thoughtful metric design, and close collaboration with business leaders.<br><br>Responsibilities:<br>• Design and maintain interactive Power BI dashboards and reporting solutions that give stakeholders timely visibility into business performance.<br>• Establish consistent measurement frameworks by defining, documenting, and refining key performance indicators used across teams.<br>• Analyze operational and financial data to identify trends, highlight improvement opportunities, and support decisions related to efficiency, margin, and throughput.<br>• Create forecasting tools, audience segmentation analyses, and predictive models to help the business plan more effectively and anticipate outcomes.<br>• Work closely with leaders and cross-functional partners to translate analytical findings into practical recommendations and business actions.<br>• Guide entry-level analysts by sharing analytical best practices, reviewing work, and encouraging high standards in reporting and data usage.<br>• Support enterprise data architecture efforts by contributing to semantic model design and scalable reporting structures within modern data environments.<br>• Participate in Microsoft Fabric and Lakehouse-related initiatives, including data model development and enhancements to analytics platform capabilities.
<p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
We are looking for a Data Analyst to join a healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms.<br>• Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards.<br>• Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes.<br>• Convert business needs into efficient database structures that support performance, scalability, and long-term usability.<br>• Review model designs for consistency and quality while promoting sound modeling practices across the team.<br>• Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance.<br>• Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs.<br>• Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design.<br>• Contribute to governance and cataloging efforts that improve standardization and enterprise data management.<br>• Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
We are looking for a detail-oriented Data Analyst to support data-driven decision-making in New Orleans, Louisiana. This role focuses on transforming raw information into clear reporting, actionable insights, and reliable dashboards for business stakeholders. The ideal candidate is comfortable working across multiple data sources and uses analytical tools to improve visibility into performance and trends.<br><br>Responsibilities:<br>• Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities.<br>• Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way.<br>• Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems.<br>• Analyze operational and business metrics, then translate results into practical recommendations for stakeholders.<br>• Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered.<br>• Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals.<br>• Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed.<br>• Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements.
We are looking for a Data Analyst to join a machinery manufacturing organization in San Antonio, Texas, and turn complex business data into practical insights that support company-wide decision-making. This role will focus on building reliable business intelligence solutions, strengthening data governance standards, and partnering with teams across the business to improve reporting capabilities. The ideal candidate brings strong technical depth in modern Microsoft data platforms, a thoughtful approach to data quality, and the ability to translate operational needs into scalable analytics solutions.<br><br>Responsibilities:<br>• Partner with business intelligence colleagues to shape and deliver analytics initiatives that support organizational objectives.<br>• Build, enhance, and optimize Power BI semantic models, dashboards, and reporting assets for accuracy, usability, and performance.<br>• Establish and reinforce standards for data governance, access control, compliance, and stewardship across reporting environments.<br>• Advance DevOps and CI/CD methods to improve the consistency and efficiency of Power BI development and deployment processes.<br>• Maintain strong data quality practices by tracking lineage, improving documentation, and validating key data assets.<br>• Contribute to data integration and transformation efforts involving both established platforms and newer cloud-based environments.<br>• Meet with stakeholders across departments to gather reporting needs and convert them into scalable business intelligence solutions.<br>• Offer technical guidance to teammates and collaborate across functions to support enterprise reporting goals.<br>• Assist with planning activities tied to business intelligence and broader data strategy initiatives.<br>• Provide after-hours assistance when needed and support additional priority projects as assigned.
<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
We are looking for a Data Analyst to join a team in Midland, Texas in an onsite contract-to-permanent role. This position centers on managing and interpreting data to support business decisions, with a strong emphasis on building reliable reporting and analytical solutions. The ideal candidate brings hands-on experience with SQL, Power BI, Python, and R, and is comfortable working across large datasets in a fast-paced environment.<br><br>Responsibilities:<br>• Organize, maintain, and validate data assets to support accurate reporting and analysis across the business.<br>• Develop dashboards and interactive reports in Power BI that translate complex information into clear insights for stakeholders.<br>• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.<br>• Use Python and R to perform data analysis, automate recurring tasks, and improve reporting efficiency.<br>• Apply DAX to create calculated measures and strengthen reporting capabilities within BI solutions.<br>• Partner with cross-functional teams to understand reporting needs and deliver data-driven recommendations.<br>• Support the design and improvement of data pipelines and related processes to enhance data availability and quality.<br>• Contribute to modern data platform initiatives, including work involving Microsoft Fabric when applicable.
<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 Data Analyst to support a luxury retail organization in Corte Madera, California. This Long-term Contract opportunity is ideal for someone who enjoys bringing order to complex information, partnering with creative and marketing stakeholders, and improving how data moves across teams. The role calls for strong analytical skills, comfort working across several platforms, and the ability to prepare accurate, usable data for publishing and downstream business needs.<br><br>Responsibilities:<br>• Partner with creative and marketing teams to fulfill daily data requests and ensure information is ready for active business use.<br>• Organize, clean, and standardize inconsistent datasets gathered from multiple teams and systems to improve accuracy and usability.<br>• Prepare and format files for downstream partners, making sure data structures align with workflow and publishing requirements.<br>• Work across tools such as Oracle, Adobe Experience Manager, and Airtable to maintain data continuity between platforms.<br>• Translate information between teams using different systems and file formats so assets and records remain usable throughout the process.<br>• Support the movement and coordination of InDesign-related files and associated data between cross-functional teams.<br>• Investigate and resolve metadata or tagging issues that affect file organization, discoverability, or handoff quality.<br>• Guide team members on approved data handling practices to promote consistency and reduce operational confusion.<br>• Assist senior colleagues with documentation, shadowing, and knowledge-sharing activities to strengthen team capability over time.
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 Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights.<br><br>Responsibilities:<br>• Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments.<br>• Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes.<br>• Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities.<br>• Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality.<br>• Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices.<br>• Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities.<br>• Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments.<br>• Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.
<p>We are looking for a detail-oriented Data Analyst to support data management and quality efforts in San Antonio, Texas. This is a 2-3 month Contract position focused on maintaining accurate records, refining spreadsheet-based information, and preparing data for reliable use across business needs. The ideal candidate is comfortable working independently, handling repetitive tasks with precision, and using Excel to identify issues and improve dataset quality.</p><p><br></p><p>Responsibilities:</p><p>• Transform raw Excel files into organized, reliable datasets by standardizing content and improving overall usability</p><p>• Examine data for inconsistencies, duplicate entries, formatting problems, and incomplete records, then resolve identified issues</p><p>• Input new information and maintain existing records within the local database system while ensuring a high degree of accuracy</p><p>• Perform routine checks to confirm data quality, validate entries, and help preserve the integrity of stored information</p><p>• Prepare data for reporting needs and provide basic analytical support for assigned projects</p><p>• Apply Excel tools such as sorting, filtering, formulas, and pivot tables to clean and structure large volumes of information</p>
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.<br><br>Responsibilities:<br>• Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases.<br>• Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs.<br>• Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows.<br>• Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis.<br>• Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience.<br>• Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting.<br>• Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use.<br>• Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
<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>
<p>Job Summary</p><p>A large, well‑known technology organization is seeking a <strong>Data Analyst I</strong> to support an engineering and operations team focused on hardware systems and large‑scale deployment programs. This role supports data analysis, reporting, and cross‑functional decision‑making in a fast‑paced environment.</p><p>Key Responsibilities</p><ul><li>Analyze operational, engineering, and process data to support program execution and decision‑making</li><li>Build and maintain reports, dashboards, and data summaries for stakeholders</li><li>Partner with engineering, supply chain, and operations teams to validate data accuracy</li><li>Support tracking of metrics, trends, and performance indicators</li><li>Assist with documentation, data audits, and ad‑hoc analysis requests</li><li>Ensure data consistency across systems and reporting tools</li></ul><p><br></p>
<p><strong>Position Overview</strong></p><p>We are seeking a Data Analyst I to join a fast-paced retail grocery business team supporting specialty food categories such as dairy, specialty cheese, fresh pasta, dips, and charcuterie. This role is ideal for someone early in their career who is passionate about data, business insights, and the food industry, and who thrives in a collaborative, high-visibility environment.</p><p>The analyst will be responsible for supporting reporting, data analysis, and business decision-making processes while partnering closely with internal stakeholders and vendors.</p><p>W<strong>Key Responsibilities</strong></p><ul><li>Perform data analysis and generate insights to support business decisions across specialty grocery categories</li><li>Build and maintain reports, dashboards, and presentation decks for leadership and cross-functional teams</li><li>Support vendor meetings through data preparation, reporting, and insights</li><li>Translate data into clear business narratives and actionable recommendations</li><li>Assist in identifying trends, prioritization opportunities, and process improvements</li><li>Collaborate with internal teams on ongoing reporting and operational initiatives</li></ul>
<p>We are looking for a Master Data Analyst to support technical data quality and material information management for R&D, quality, and operational teams in Cincinnati, Ohio or Rockford, Illinois. This Long-term Contract position focuses on maintaining reliable raw material and packaging data that helps drive product development, supplier readiness, and manufacturing execution. The role calls for a highly organized, detail-oriented individual who can work across multiple functions, improve data consistency, and ensure critical system records remain accurate and complete. This is a HYBRID role - remote consultants will not be considered. Consumer Product Goods industry experience is highly desired!</p><p><br></p><p>Responsibilities:</p><p>• Manage the collection, review, and entry of raw material and packaging specifications into approved specification and data management systems.</p><p>• Verify that technical records are complete, accurate, and aligned with internal standards, regulatory expectations, and operational needs.</p><p>• Improve consistency across systems by applying standardized naming structures, formatting rules, and data governance practices.</p><p>• Investigate missing, outdated, or conflicting material information and resolve issues in partnership with cross-functional stakeholders.</p><p>• Maintain material master data and support correct relationships between specifications, item records, and related system information in SAP-based environments.</p><p>• Create, revise, and validate bills of materials to match approved specifications and current production requirements.</p><p>• Support data activities tied to new product development, supplier updates, and ongoing process improvement initiatives.</p><p>• Coordinate with Master Data, Procurement, Packaging, Quality, and Operations teams to ensure information supports real manufacturing and planning requirements.</p><p>• Track assigned project deliverables, maintain supporting documentation, and contribute to process standardization efforts across technical data workflows.</p>
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
<p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.</p><p>The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>