<p>Position Overview</p><p>We are seeking a highly detail‑oriented Environmental Data Specialist to support data accuracy, regulatory documentation, and compliance activities related to environmental and waste management operations. This role is essential for maintaining precise records, updating internal databases, ensuring regulatory alignment, and validating waste tracking information. Attention to detail is critical, and all submissions must include a basic typing/data entry test result for consideration.</p><p>Key Responsibilities</p><ul><li>Update internal databases and shared sites with new, recertified, or amended waste profile data</li><li>Upload and maintain current approvals, notifications, and treatment standards documentation</li><li>Conduct technical regulatory reviews of new, amended, and recertified waste profile data, including:</li><li>DOT compliance</li><li>RCRA Land Ban requirements</li><li>Internal consistency checks</li><li>Efficiently track and run reports, including those requiring advanced Excel knowledge</li><li>Validate shipment and waste tracking data to ensure accuracy and compliance</li><li>Support documentation, data entry, and administrative tasks related to environmental and regulatory workflows</li></ul>
<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 detail-oriented Data Analyst to oversee grant-related processes and manage communications with community partners. The ideal candidate will ensure accurate tracking, submission of reimbursements, and provide timely responses to inquiries from management. This position offers an opportunity to contribute to impactful community initiatives while applying strong data analysis skills.<br><br>Responsibilities:<br>• Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance.<br>• Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements.<br>• Prepare and submit reimbursement documentation in alignment with organizational policies.<br>• Respond to inquiries from management and stakeholders in a timely and thorough manner.<br>• Utilize data manipulation tools and queries to analyze and interpret grant-related information.<br>• Create and maintain reports using Microsoft Access and Excel to support decision-making processes.<br>• Assist in organizing community events and initiatives tied to grant programs.<br>• Ensure data integrity and accuracy in all reporting and analysis efforts.<br>• Support the team with additional administrative tasks related to data management and grant tracking.
<p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis for a global finance firm. This role is fully remote. This role requires someone with strong attention to detail who excels in data reconciliation, fraud investigation, and analytics. You will play a key role in analyzing data for accuracy and identifying potential discrepancies or fraudulent activities.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Conduct regular account reconciliations to ensure data consistency and accuracy.</p><p>• Investigate suspected fraudulent activities using advanced analytics tools.</p><p>• Perform in-depth data analysis to identify trends and anomalies.</p><p>• Utilize VLOOKUP and other Excel functions to organize and interpret complex datasets.</p><p>• Collaborate with cross-functional teams to address data discrepancies and improve processes.</p><p>• Develop and implement anti-fraud strategies based on identified risks.</p><p>• Maintain detailed documentation of findings and reconciliation processes.</p><p>• Provide actionable insights to support decision-making and enhance operational efficiency.</p><p>• Ensure compliance with relevant regulations and standards during data analysis and investigations.</p>
<p>As a Business Data Analyst or Specialist you will be responsible for managing data retrieval and analysis within SCMHC</p><p>The position includes organizing data points, communicating between upper management and the IT department, and analyzing data to determine business needs</p><p>Become subject matter expert for the organization’s EMR/EHR (Credible Behavioral Health) and champions it’s adoption</p><p>Develops data solutions from multiple data sources / applications</p><p>Develops and manages data reporting for internal and external consumers</p><p>Daily, monthly, & quarterly uploads/ Submits data as required</p><p>Ensure data is secure via proper access controls</p><p>Provides EMR/HER assistance and support to end-users</p><p>Organizes, implements and manages new hire as well as ongoing training for EMR/HER</p>
We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment.<br><br>Responsibilities:<br>• Gather, clean, and validate data from various sources to ensure consistency and reliability.<br>• Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail.<br>• Support efforts related to data migration, integration, and quality assurance across systems.<br>• Generate timely and accurate reports in response to internal data requests.<br>• Identify and resolve data discrepancies by collaborating with relevant teams.<br>• Document data processes, workflows, and standards to ensure clarity and consistency.<br>• Partner with leadership to analyze data for insights that drive growth, efficiency, and impact.<br>• Conduct forecasting, trend analysis, and reporting to support decision-making.<br>• Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts.<br>• Present data findings in clear and accessible formats suitable for diverse audiences.
<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 and detail-oriented Data Analyst to join our team in Allentown, Pennsylvania. This is a Contract-to-permanent position that offers the opportunity to grow within a dynamic and fast-paced environment. The ideal candidate will excel in analyzing data, performing reconciliations, and supporting financial decision-making with actionable insights.<br><br>Responsibilities:<br>• Manage and oversee intercompany transactions, ensuring accurate billing and compliance.<br>• Perform detailed reconciliations, including cash, third-party accounts, and insurance data.<br>• Contribute to audits, budgeting processes, forecasting activities, and special projects as needed.<br>• Analyze performance metrics such as sales, labor, food costs, and customer behavior to identify trends.<br>• Develop user-friendly dashboards and reports for operational and executive teams.<br>• Ensure data accuracy and connectivity across inventory, accounting, and organizational systems.<br>• Translate data insights into practical recommendations to enhance service and operational efficiency.<br>• Uphold internal controls and compliance standards while handling sensitive financial information.<br>• Support a collaborative environment by providing clear communication and actionable data insights.
<p>We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.</p><p>• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.</p><p>• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.</p><p>• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.</p><p>• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.</p><p>• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.</p><p>• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.</p><p>• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.</p><p>• Provide historical data insights and predictive analysis to support campaign planning.</p><p>• Ensure compliance with industry regulations and internal standards in all data management and reporting activit</p>
<p>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 seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. <br> Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
<p>Job Summary</p><p>We are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.</p><p>This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights.</p><p><br></p><p>Key Responsibilities</p><ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
<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>
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals.<br><br>Responsibilities:<br>• Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively.<br>• Utilize PeopleSoft to extract and manage data for reporting and analytical purposes.<br>• Conduct detailed investigations into suspected fraud cases and provide analytical insights.<br>• Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions.<br>• Collaborate with cross-functional teams to ensure data accuracy and integrity.<br>• Apply anti-fraud measures to detect and prevent fraudulent activities.<br>• Perform thorough data analysis to uncover trends and deliver actionable recommendations.<br>• Maintain documentation of findings and processes to support organizational transparency.<br>• Present findings and recommendations to stakeholders in a clear and concise manner.<br>• Continuously improve reporting processes and tools to enhance data-driven decision-making.
We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely.<br><br>Responsibilities:<br>• Perform detailed data analysis to identify trends, anomalies, and actionable insights.<br>• Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets.<br>• Collaborate with internal teams to support data-driven decision-making processes.<br>• Extract and process data from systems like Workday, ensuring accuracy and relevance.<br>• Adapt quickly to changing priorities and efficiently handle multiple tasks.<br>• Assist with fraud detection and prevention through data investigation and analytics.<br>• Prepare comprehensive reports and visualizations to effectively communicate findings.<br>• Support the implementation and optimization of tools such as Pave and Radford.<br>• Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals.<br>• Provide training and guidance on system usage and data interpretation as needed.
<p>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 skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and potential fraudulent activities.<br>• Develop and implement fraud detection models and analytics tools.<br>• Collaborate with fraud investigation teams to provide data-driven insights and recommendations.<br>• Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting.<br>• Create detailed reports and visualizations to support anti-fraud initiatives.<br>• Enhance existing fraud prevention strategies through continuous data analysis.<br>• Conduct regular audits of data systems to ensure accuracy and reliability.<br>• Work closely with cross-functional teams to improve fraud detection capabilities.<br>• Maintain and safeguard data integrity throughout all analytical processes.
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.
We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks.<br><br>Responsibilities:<br>• Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise.<br>• Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives.<br>• Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials.<br>• Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate.<br>• Conduct user interviews to understand learning challenges and tailor content to meet specific needs.<br>• Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices.<br>• Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization.<br>• Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels.<br>• Identify opportunities for new program initiatives that support analytics tools and data literacy.<br>• Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
<p><strong>Responsibilities:</strong></p><ul><li>Collect, process, and analyze large structured and unstructured datasets to identify meaningful trends, patterns, and opportunities for business improvement</li><li>Develop, test, and deploy predictive models, machine learning algorithms, and statistical analyses to address key business challenges </li><li>Collaborate with cross-functional teams, including business analysts, engineers, and stakeholders, to identify analytics solutions and align deliverables with strategic goals </li><li>Communicate complex findings and recommendations clearly to technical and non-technical audiences through reports, dashboards, and visualizations</li><li>Automate repetitive tasks, streamline data flows, and ensure data quality and governance throughout the analytics lifecycle</li><li>Stay updated on industry trends, emerging technologies, and best practices in data science and AI to continuously enhance solutions</li></ul><p><br></p>
<p><strong>Position Summary:</strong></p><p>Drive and shape the organization’s overarching data and analytics strategy to deliver actionable insights that directly support critical business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and execute the company’s data and analytics roadmap to ensure reporting and analysis capabilities empower organizational objectives.</li><li>Remain abreast of industry trends, emerging technologies, and relevant external reports; synthesize and communicate key findings to the leadership team and stakeholders.</li><li>Lead all aspects of internal and external reporting, ensuring data outputs are accurate, comprehensive, auditable, and have clearly defined ownership.</li><li>Oversee creation and delivery of executive reports, frameworks, dashboards, and recurring presentations that provide actionable intelligence to senior leadership.</li><li>Align data priorities with senior leaders, offering consistent and proactive communication of project status, risks, dependencies, and critical trade-offs.</li><li>Establish rigorous procedures for intake, prioritization, and delivery of analytics projects—managing scope, timelines, and escalation as needed.</li><li>Foster a results-driven culture of accountability by actively monitoring and driving progress on key analytics initiatives.</li><li>Create and maintain robust governance and controls to ensure high-quality, efficient, and reliable reporting processes.</li><li>Standardize metrics and frameworks to ensure consistency and reliability across all reporting channels and business units.</li><li>Build, mentor, and lead analytics and reporting teams, including recruiting, coaching, and setting high performance and stakeholder engagement standards.</li><li>Partner cross-functionally to address data challenges, enable self-service analytics, and further automate and enhance reporting effectiveness.</li><li>Ensure stakeholder satisfaction and delivery of measurable business outcomes from data and analytics initiatives.</li></ul><p><strong>Minimum Qualifications:</strong></p><ul><li>Over 10 years of experience with advanced data analysis, relational databases, and enterprise analytics tools.</li><li>Advanced proficiency in database management, data extraction, analytics, and visualization technologies.</li><li>Demonstrated expertise in SQL, SSRS, SSIS, ETL processes, Excel, Python, and PowerPoint.</li><li>Experience with diverse data transformation, reporting, and analytics tools or programming languages.</li><li>Exceptional written and verbal communication skills; proven ability to present complex analytical insights to senior executives and cross-functional teams.</li><li>Strong organizational and project management skills; proven success managing multiple, concurrent projects.</li><li>Demonstrated leadership in team management, coaching, and talent development within analytics or reporting environments.</li><li>Experience overseeing high-stakes internal and external reporting commitments.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with additional data visualization and analytics platforms.</li><li>Thrives in fast-paced environments; maintains keen attention to detail under pressure.</li><li>Familiarity with compliance, regulatory, or governance requirements related to enterprise analytics and reporting.</li></ul><p><br></p>
We are looking for an experienced Data and Analytics Manager to lead master data management initiatives within our organization. This role involves developing and implementing data governance policies and procedures to ensure accuracy, consistency, and reliability across all systems. As a long-term contract position based in Dallas, Texas, this opportunity offers the chance to collaborate with cross-functional teams and lead efforts to optimize data processes.<br><br>Responsibilities:<br>• Develop and oversee master data governance standards to ensure data accuracy, consistency, and reliability.<br>• Collaborate with stakeholders across departments to communicate business processes and data requirements.<br>• Approve and process requests for creating or modifying master data while auditing completed mappings for quality assurance.<br>• Lead a team of mapping specialists, allocating resources effectively and ensuring adherence to timelines and priorities.<br>• Create and maintain documentation to support team training and mapping verification processes.<br>• Monitor and audit team performance to ensure consistent quality and address knowledge gaps.<br>• Coordinate updates and progress reports for organizational collaboration meetings, ensuring alignment with business goals.<br>• Proactively communicate with stakeholders, providing regular updates on team efforts, challenges, and achievements.<br>• Review and analyze source data processes to ensure a thorough understanding of data mapping requirements.<br>• Track changes to IT architecture and processes to assess impacts on data usage and quality.
<p>Our client is seeking a detail-oriented <strong>Business Analytics Specialist</strong> to support enterprise reporting, dashboard creation, and operational performance insights. This role is responsible for turning complex business data into clear, actionable information that helps leadership understand trends, identify opportunities, and improve performance across multiple locations. This position is onsite in Las Vegas, NV, Monday-Friday.</p><p><br></p><ul><li>Develop and maintain dashboards tracking core operating metrics such as sales, margin, labor productivity, guest counts, and site-level profitability.</li><li>Analyze KPI trends and identify drivers behind variances versus budget and forecast.</li><li>Support recurring and ad hoc reporting using standardized data models.</li><li>Manage and validate data flows from site-level systems into centralized reporting datasets.</li><li>Perform basic cohort and trend analysis to evaluate pricing, product, and operational initiatives.</li><li>Present clear, data-driven insights to Operations and leadership teams during regular business reviews.</li><li>Maintain data accuracy and consistency across locations and reporting structures.</li><li>Support business users in understanding and utilizing dashboards effectively.</li></ul>
Position: Data Analyst | Business Intelligence Analyst<br>Location: Kansas City, MO - Onsite<br>Salary: up to $95,000 base + excellent benefits<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Join a thriving, financially strong manufacturing company that’s investing in data to drive smarter decisions and operational excellence. Our client is seeking a Data Analyst | Power BI Developer with experience to help transform raw data into actionable insights that fuel growth and innovation.<br>What You’ll Do:<br> · Build and maintain dynamic Power BI dashboards, reports, and data models<br> · Write and optimize SQL queries and stored procedures on SQL Server<br> · Partner with business stakeholders to understand reporting needs and deliver clear, impactful visualizations<br> · Ensure accuracy, performance, and security across BI solutions<br>What You Bring:<br> · 3+ years of hands-on experience with Power BI and SQL Server<br> · Strong skills in T-SQL, DAX, and Power Query<br> · Solid understanding of ETL processes and data warehousing<br> · Excellent communication and problem-solving abilities<br>Bonus Skills:<br> · Exposure to Azure SQL, Data Factory, SSIS/SSRS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<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>