<p>Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges</p><p>· Analyze large datasets using statistical methods, data mining, and visualization tools</p><p>· Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions</p><p>· Communicate results and recommendations clearly to both technical and non-technical stakeholders</p><p>· Stay up to date with emerging trends, tools, and technologies in data science and analytics</p>
<p>I’m currently partnering with a client near the Atlanta metro area that is looking to add an experienced Data Scientist to their growing analytics and technology team. This role will focus heavily on forecasting, predictive modeling, and leveraging large-scale data platforms to drive business insights and strategic decision-making.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop forecasting models and predictive analytics solutions to support business operations and planning</p><p>• Analyze large and complex data sets to identify trends, patterns, and opportunities</p><p>• Build, optimize, and deploy machine learning models and data pipelines</p><p>• Work closely with business stakeholders and technical teams to translate data into actionable insights</p><p>• Utilize Databricks and modern data platforms to support scalable analytics solutions</p><p>• Create dashboards, reports, and visualizations to communicate findings effectively</p><p><br></p>
<p>We are looking for an experienced Data Architect to join our team on a long-term contract basis in Cleveland, Ohio. This role involves designing scalable enterprise data platforms, ensuring data quality, and implementing robust data governance frameworks. You will play a pivotal role in leveraging Azure services and AI-driven analytics to optimize data architecture and enhance operational insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement enterprise-wide data architectures and canonical data models.</p><p>• Establish data ownership protocols, governance standards, and quality benchmarks.</p><p>• Analyze and stabilize data pipelines across distributed systems and platforms.</p><p>• Perform detailed data analysis and reconciliation to identify and resolve integrity issues.</p><p>• Design and implement monitoring tools to validate and improve data quality.</p><p>• Enhance data observability and lineage tracking to streamline governance processes.</p><p>• Utilize AI-driven analytics and automation to detect anomalies and accelerate decision-making.</p><p>• Collaborate with engineering teams to align data architecture with integration services and platform requirements.</p><p>• Optimize event-driven and distributed data systems for scalability and reliability.</p><p>• Conduct hands-on work with Azure services, such as Azure Data Factory and Synapse, to implement solutions.</p>
We are looking for an experienced Data Architect to design and enhance modern data solutions for a banking environment in Needham, Massachusetts. This role focuses on building scalable cloud-based data architecture, improving data movement and transformation processes, and enabling reliable access to business-critical information. The ideal candidate brings strong expertise in Azure, Snowflake, Python, and Spark, along with a practical approach to data modeling, integration, and performance optimization.<br><br>Responsibilities:<br>• Design and maintain enterprise data architecture that supports secure, scalable, and efficient data operations across banking platforms.<br>• Build and optimize ETL pipelines to ingest, transform, and deliver data from multiple sources into cloud-based analytical environments.<br>• Develop robust data solutions using Azure services, Snowflake, Python, and Apache Spark to meet business and reporting needs.<br>• Create data models and architectural standards that improve consistency, accessibility, and long-term maintainability of data assets.<br>• Partner with engineering, analytics, and business teams to translate data requirements into reliable technical solutions.<br>• Monitor data platform performance and implement improvements that strengthen processing speed, quality, and system reliability.<br>• Establish best practices for data governance, documentation, and architecture design to support regulatory and operational expectations.<br>• Troubleshoot complex data issues and provide technical guidance on integration, transformation, and storage strategies.
<p>We’re seeking a <strong>contract</strong> hands-on <strong>Data Architect</strong> to drive data strategy, architecture, and migration efforts within a large-scale enterprise transformation initiative. This role will play a critical part in transitioning from a legacy on-premise ERP system to a modern SaaS-based platform, ensuring data integrity, governance, and long-term scalability.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><p>Data Strategy & Architecture</p><ul><li>Define enterprise data architecture aligned to SaaS ERP</li><li>Develop data models and enforce standards/governance</li><li>Translate business needs into scalable data solutions</li></ul><p>Data Migration & Conversion</p><ul><li>Lead ERP data migration (profiling, mapping, cleansing, cutover)</li><li>Ensure data accuracy through validation and reconciliation</li><li>Establish data lineage, security, and lifecycle standards</li></ul><p>Data Governance & Quality</p><ul><li>Implement governance framework and data ownership model</li><li>Monitor data quality and drive remediation processes</li><li>Align business rules and manage data access controls</li></ul><p>Integrations & Ecosystem</p><ul><li>Design integrations across enterprise systems</li><li>Define APIs, data flows, and middleware patterns</li><li>Ensure scalability, performance, and security</li></ul><p>Analytics & Reporting Enablement</p><ul><li>Enable data structures for reporting, analytics, and AI</li><li>Support BI and self-service reporting capabilities</li><li>Maintain data models and cataloging standards</li></ul><p>Leadership & Delivery</p><ul><li>Act as data SME for the transformation program</li><li>Partner with stakeholders and delivery teams</li><li>Mentor team members and align data strategy to business goals</li></ul><p><br></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.
<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 Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
<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>
<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 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.
We are looking for a Data Analyst to support ongoing reporting, data coordination, and operational analysis for a service-focused organization in Minneapolis, Minnesota. This Long-term Contract position is ideal for someone who enjoys managing recurring data tasks, maintaining accurate records, and delivering timely insights to business leaders. The role combines daily reporting support with periodic analytical assignments that require strong attention to detail, organization, and comfort working with Excel and Salesforce.<br><br>Responsibilities:<br>• Gather information from multiple sources, organize it into usable formats, and distribute updates to leadership and key stakeholders on a regular basis.<br>• Maintain and refresh routine data outputs tied to business activity, including areas such as opportunities, customer accounts, and credit-related records.<br>• Perform recurring operational tasks that keep reporting processes accurate, current, and on schedule each day.<br>• Complete monthly and quarterly analysis using spreadsheets, including reconciling figures and validating that data aligns across reports.<br>• Support quota-related tracking by working within established templates and applying a practical understanding of capacity and performance metrics.<br>• Update and manage administrative records in Salesforce to help ensure data quality and reliable reporting.<br>• Prepare and maintain standard reports that help teams monitor activity, identify issues, and support business decisions.<br>• Review datasets for inconsistencies, investigate discrepancies, and follow through to keep information dependable and actionable.
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.
<p>On behalf of our client, a healthcare organization in the Memphis area, Robert Half is seeking an <strong>HRIS Analyst with strong Paycom experience</strong> to help stabilize, support, and optimize its HR and payroll systems following a recent Paycom implementation.</p><p>The organization is <strong>approaching one year post‑go‑live</strong> and continues to experience <strong>significant system and data challenges</strong> impacting HR operations, payroll processing, and internal stakeholders. Support is currently shared across multiple teams, and this role will serve as a <strong>central HRIS and data owner</strong> for Paycom.</p><p>This position is focused on <strong>data integrity, system functionality, and cross‑functional coordination</strong>, rather than general IT support.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Act as the <strong>primary HRIS resource</strong> for Paycom</li><li>Troubleshoot and resolve Paycom issues related to:</li><li>Employee data</li><li>Payroll processing</li><li>HR workflows, configurations, and reporting</li><li>Ensure <strong>accuracy, consistency, and integrity</strong> of HR and payroll data</li><li>Partner with <strong>HR, Payroll, and IT</strong> teams to identify root causes and drive solutions</li><li>Support system configuration changes, testing, and validation</li><li>Assist with security roles, permissions, and access management within Paycom</li><li>Create and maintain HRIS documentation, workflows, and process guides</li><li>Coordinate with Paycom vendor support as needed and help drive issues to resolution</li><li>Identify recurring issues and recommend <strong>process and data‑driven improvements</strong></li></ul><p><br></p>
We are looking for a Data Analyst to support reporting, visualization, and data-driven decision-making for a long-term contract opportunity in Brooklyn, New York. This position is ideal for someone who can translate complex information into clear insights while partnering with both business stakeholders and technical teams. The role will focus on analytics, reporting development, and data interpretation within an energy and natural resources environment, with opportunities to contribute to broader data integration and advanced analytics efforts.<br><br>Responsibilities:<br>• Build and maintain dashboards, reports, and visualizations that turn large datasets into meaningful business insights.<br>• Analyze operational and financial information to identify trends, exceptions, and performance patterns that support decision-making.<br>• Partner with cross-functional teams to gather reporting needs and convert business questions into effective analytical solutions.<br>• Work with structured data sources and databases to validate accuracy, improve accessibility, and support ongoing reporting processes.<br>• Contribute to data integration and architecture-related initiatives by helping connect information across systems and business functions.<br>• Support reporting tied to finance and accounting activities, including datasets related to general ledger processes.<br>• Use tools such as Power BI or Tableau to present findings in a clear, actionable format for stakeholders.<br>• Assist with exploratory analytics and emerging initiatives involving Python, AI-enabled analysis, or machine learning concepts when applicable.
We are looking for a meticulous Data Analyst to support a Long-term Contract assignment based in Old Hickory, Tennessee. In this role, you will help improve the quality, accuracy, and usability of finance-related data while contributing to a collaborative, remote project environment. This opportunity is well suited for someone who enjoys working with complex datasets, solving data integrity issues, and partnering with business and technical teams to deliver reliable reporting outcomes.<br><br>Responsibilities:<br>• Review and refine large volumes of financial and operational data to improve consistency, completeness, and overall accuracy.<br>• Contribute to data conversion efforts involving the movement of information from Oracle Hyperion into Tagetik, ensuring records are prepared and validated for use.<br>• Examine datasets to uncover duplicate entries, missing values, mismatches, and other integrity concerns, then help resolve identified issues.<br>• Support annual data rollforward activities by carrying historical information forward and confirming that records remain aligned across reporting periods.<br>• Use advanced Excel functions to reconcile files, organize data, verify results, and prepare clear outputs for analysis and reporting.<br>• Partner with finance, accounting, and technical contributors to clarify data needs, address exceptions, and maintain progress throughout the project lifecycle.<br>• Assist with data mapping, test preparation, reconciliation reviews, and validation steps tied to migration-related workstreams.<br>• Produce and update project documentation covering data standards, validation results, issue tracking, and reporting expectations.<br>• Share key observations, potential risks, and recommended actions with stakeholders to support informed project decisions.
<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>
<p>We’re looking for a SQL Developer to design, build, and optimize health data solutions that support business operations and reporting. This role focuses on writing efficient queries, maintaining data integrity, and improving database performance.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop and maintain SQL queries, stored procedures, and database structures. Optimize performance and troubleshoot data issues. Partner with teams to translate business needs into data solutions and support ETL processes.</li></ul>
<p>We are seeking a detail-oriented Data Analyst with at least 1 year of experience to support data-driven decision-making. This role is ideal for someone who enjoys working with data, identifying trends, and collaborating with business stakeholders to deliver actionable insights.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze, interpret, and validate data to identify trends, patterns, and key insights</li><li>Write and execute SQL queries to extract, manipulate, and analyze data from relational databases</li><li>Clean, transform, and organize large datasets to ensure data accuracy and integrity</li><li>Develop reports, dashboards, and visualizations to support business needs</li><li>Translate business requirements into clear, data-driven solutions</li><li>Collaborate with cross-functional teams to understand data needs and deliver actionable insights</li></ul><p><br></p>
We are looking for a Data Analyst to support a non-profit organization through careful analysis, issue tracking, and data-driven decision-making. This Long-term Contract position is ideal for someone who can work across ticketing workflows, service desk activity, and business systems to improve visibility and operational efficiency. The role calls for someone who can translate data into practical insights while collaborating with technical and administrative stakeholders.<br><br>Responsibilities:<br>• Analyze operational and service-related data to identify patterns, trends, and opportunities for process improvement.<br>• Monitor and evaluate ticketing system activity, producing reports that help teams prioritize issues and measure performance.<br>• Review service desk tickets to uncover recurring problems, support root-cause analysis, and recommend corrective actions.<br>• Partner with cross-functional teams to gather reporting needs and deliver accurate, timely insights for business decisions.<br>• Maintain and interpret data connected to networking and device management environments to support service quality.<br>• Assist with Salesforce administration-related reporting, data validation, and ongoing data accuracy efforts.<br>• Create dashboards, summaries, and ad hoc analyses that clearly communicate findings to technical and non-technical audiences.<br>• Support data-related activities tied to system or process changes when needed, ensuring documentation and reporting remain consistent.
<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>
<p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>· Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>· Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
We are looking for a detail-oriented Data Analyst to join our team in California in a contract position with the potential to become permanent. This role is ideal for someone who enjoys working with sales and order data, organizing information into clear reports, and helping managers make informed decisions. The successful candidate will be comfortable handling large data sets, performing data entry, and using Excel to turn raw information into accurate, easy-to-read summaries.<br><br>Responsibilities:<br>• Gather information from multiple business systems and consolidate it into usable reports.<br>• Prepare sales-focused reporting that highlights high-value customers, including accounts with monthly purchases above established thresholds.<br>• Identify inactive customers by reviewing order history and flagging accounts with no recent purchasing activity.<br>• Organize, clean, and structure raw data so it can be reviewed quickly and used effectively by sales leadership.<br>• Build spreadsheets and tables that present key details in a clear, practical, and visually accessible format.<br>• Use Excel functions such as VLOOKUP and XLOOKUP to compare records, validate information, and improve reporting accuracy.<br>• Support day-to-day order processing by entering and maintaining data with a high level of precision.<br>• Communicate proactively when information is unclear, asking thoughtful questions to ensure accuracy and alignment.<br>• Provide analytical and administrative support to internal teams in an onsite office environment.
We are looking for a detail-focused Data Analyst to join a utilities and infrastructure organization in Hampton, New Hampshire. This Long-term Contract opportunity is ideal for someone who can support reporting, data quality, and integration-related activities while working closely with project and business teams. The position will contribute during system implementation and continue to play an important role in ongoing reporting and data operations after launch.<br><br>Responsibilities:<br>• Partner with implementation stakeholders to develop reporting assets and organize supporting data documentation.<br>• Carry out system and user testing activities, record issues clearly, and help monitor them through resolution.<br>• Compare source and target data to identify discrepancies and support accurate reconciliation efforts.<br>• Assist with large-volume data validation and conversion tasks while following established quality standards.<br>• Maintain and enhance recurring reports that support day-to-day business decision-making.<br>• Keep report inventories and data documentation current to improve usability and governance.<br>• Perform routine data checks, bulk data updates, and file-based import activities with a high level of accuracy.<br>• Provide support for integration workflows and data movement processes, expanding ownership as experience grows.
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.