We are looking for a Marketing Analytics Manager to join a Contract engagement supporting digital marketing performance and measurement initiatives. This role is based in Dallas, Texas, and will focus on transforming campaign and media data into meaningful insights that guide client and business decisions. The ideal candidate brings strong experience with marketing analytics, dashboard development, and cross-functional collaboration in a fast-paced environment.<br><br>Responsibilities:<br>• Create, update, and validate dashboards and reporting tools that provide clear visibility into marketing performance.<br>• Examine paid media and digital channel results to identify trends, explain outcomes, and recommend next steps.<br>• Work closely with media, strategy, client-facing, and technical teams to define measurement priorities and reporting deliverables.<br>• Investigate discrepancies in reporting outputs and resolve data quality issues to maintain confidence in analytics.<br>• Translate complex datasets into concise findings and practical recommendations for stakeholders.<br>• Support performance analysis across major advertising platforms, including Google, Meta, and TikTok.<br>• Deliver reporting quality assurance and insight generation using visualization tools such as Domo, Power BI, or Tableau.<br>• Contribute advanced analysis across large marketing datasets, including data review, validation, and reporting enhancements.
<p><strong>Data Analyst</strong></p><p>Location: Miami, FL</p><p><strong>About the Role</strong></p><p>Our client is looking for a Data Analyst to turn raw data into clear, actionable insights that guide business decisions. You will work closely with stakeholders across the organization to build reports, uncover trends, and improve how data is collected and used. This is a great fit for someone who enjoys solving problems, asking good questions, and telling a story with numbers.</p><p><strong>What You’ll Do</strong></p><ul><li>Gather, clean, and validate data from multiple sources to ensure accuracy and consistency</li><li>Write SQL queries to extract and analyze data from relational databases</li><li>Build and maintain dashboards and reports in Power BI, Tableau, or similar tools</li><li>Identify trends, patterns, and opportunities, and present findings to technical and non technical audiences</li><li>Partner with business teams to define KPIs and translate questions into analysis</li><li>Automate recurring reports and streamline data workflows</li><li>Support ad hoc requests and deeper dive projects as business needs evolve</li><li>Document data sources, definitions, and processes</li></ul><p><br></p>
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
<p>Robert Half is working with a client seeking a Data Analyst.</p><p><br></p><ul><li>Assist in developing, maintaining, and updating dashboards and recurring daily, weekly, and monthly reports.</li><li>Analyze operational, financial, sales, and customer data to identify trends and discrepancies.</li><li>Perform data validation, reconciliation, and quality checks; investigate missing, duplicate, or inconsistent records and escalate findings.</li><li>Write and modify basic to intermediate SQL queries to retrieve and summarize data.</li><li>Support Power BI report development, enhancements, testing, and validation.</li><li>Work with structured datasets and gain exposure to data warehouses and ETL/ELT processes.</li><li>Collaborate with business stakeholders to clarify reporting needs and communicate findings.</li><li>Maintain documentation of reports, business definitions, validation steps, and procedures.</li></ul><p><br></p>
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
We are looking for a Data Analyst to support data-driven decision-making for a growing organization in Avon, Ohio. This role is ideal for someone who combines strong analytical thinking with hands-on experience in reporting, pricing data, and process improvement. You will work across business systems and datasets to build reliable insights, streamline recurring work, and deliver clear outputs that help teams operate more effectively.<br><br>Responsibilities:<br>• Develop and maintain reports, dashboards, and analytical outputs that turn business data into actionable insights for stakeholders.<br>• Manage pricing-related information and core master data, helping ensure accuracy, consistency, and usability across operational processes.<br>• Build and enhance automated reporting solutions that connect with back-office platforms and reduce dependence on manual data preparation.<br>• Review existing workflows to identify inefficiencies, then apply Excel, AI-enabled tools, or system integrations to improve speed and reliability.<br>• Partner with cross-functional teams to gather reporting needs, clarify business questions, and translate requirements into practical analytics solutions.<br>• Monitor data quality across source systems and resolve inconsistencies that could affect reporting, forecasting, or operational decision-making.<br>• Create presentations and summary materials that clearly communicate findings, trends, and recommendations to business audiences.<br>• Iterate quickly on deliverables by incorporating feedback, refining outputs, and continuously improving the usefulness of analytical work.
<p>We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.</p><p>Responsibilities</p><ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul><p>Qualifications</p><ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul><p><br></p>
<p>Robert Half is seeking an<strong> IFS Enterprise Asset Management (EAM) Solution Architect</strong> to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! </p><p><br></p><p><strong>Duration:</strong> 3 months contract with potential to extend, depending on performance </p><p><strong>Location:</strong> 100% Remote, occasional travel to Seattle</p><p><strong>Schedule:</strong> Open to candidates who’d be interested in Part Time or Full Time work</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
We are looking for a Data Analyst to support fraud-focused data initiatives in Pittsburgh, Pennsylvania. This Long-term Contract position is ideal for someone who can turn complex information into clear insights that help identify suspicious activity and strengthen anti-fraud efforts. The role combines analytical problem-solving with investigative support, requiring close attention to patterns, anomalies, and data quality.<br><br>Responsibilities:<br>• Analyze large datasets to detect unusual trends, irregular transactions, and indicators of potentially fraudulent activity.<br>• Develop reports and dashboards that translate fraud-related data into actionable findings for business and risk stakeholders.<br>• Partner with investigation and compliance teams to support case reviews with accurate data analysis and documented insights.<br>• Examine data sources for consistency and reliability to ensure fraud monitoring outputs are based on high-quality information.<br>• Identify emerging patterns and recommend adjustments to analytical approaches that improve fraud detection effectiveness.<br>• Perform ad hoc analysis to answer urgent business questions related to anti-fraud controls, losses, and suspicious behavior.<br>• Maintain clear records of analytical methods, assumptions, and findings to support auditability and ongoing investigations.
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
<p>We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area are encouraged to apply. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Applicants must have experience building data pipelines. </p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<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 licensed global operations for assigned product categories in Stratham, New Hampshire. This Long-term Contract position focuses on coordinating supply planning activities, maintaining accurate operational data, and helping ensure product availability aligns with regional demand. The role works closely with planning, logistics, vendors, and category teams to keep purchase activity, reporting, and delivery timelines on track.<br><br>Responsibilities:<br>• Coordinate monthly and seasonal purchasing activities for assigned products, translating supply needs into timely and accurate order execution.<br>• Maintain product setup information in internal systems, including planning inputs and routing details required for operational readiness each season.<br>• Track purchase orders from creation through confirmation, following up on committed delivery dates to support reliable product flow.<br>• Prepare and manage recurring production and supply reports, providing clear visibility into status, risks, and performance trends.<br>• Partner with regional planning, logistics, vendors, and category stakeholders to address delivery changes, program timing, and potential supply gaps.<br>• Support vendor and factory users with training and ongoing guidance related to operational processes and system usage.<br>• Perform administrative updates for purchase order records and other system data to preserve accuracy across the supply planning process.<br>• Contribute ad hoc analysis and reporting that helps the global licensed operations team respond to business needs and planning decisions.
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a Contract position based in Arlington, Texas. This role focuses on transforming complex contract and business data into clear insights that improve reporting, compliance awareness, and operational performance. The ideal candidate will combine strong analytical capability with business intelligence expertise to interpret trends, validate information, and deliver actionable recommendations.<br><br>Responsibilities:<br>• Analyze business and contract-related data to identify patterns, exceptions, and opportunities for improved decision-making.<br>• Build and maintain business intelligence reports, dashboards, and visual summaries that present findings clearly to stakeholders.<br>• Review commercial contract information and related records to support audits, data validation, and reporting accuracy.<br>• Extract, organize, and abstract data from multiple sources to create reliable datasets for analysis and business review.<br>• Use analytical tools to evaluate performance metrics, contract terms, and operational results across key business areas.<br>• Partner with internal teams to clarify reporting needs, refine data requirements, and provide insight into business trends.<br>• Monitor data quality by investigating inconsistencies, resolving discrepancies, and promoting accurate documentation standards.<br>• Prepare concise summaries and recommendations that help leadership understand risks, results, and areas for improvement.
<p>We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.</p><p>• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.</p><p>• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.</p><p>• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.</p><p>• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.</p><p>• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.</p><p>• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.</p><p>• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.</p><p>• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.</p>
<p>We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. </p><p><br></p><p>Responsibilities:</p><p>• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact</p><p>• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results</p><p>• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis</p><p>• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention</p><p>• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions</p><p>• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement</p><p>• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights</p><p>• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions</p><p>• Present findings and recommendations to executive stakeholders in a concise and actionable way</p><p>• Provide guidance to other analytics contributors and help raise standards for high-impact data science work</p>
<p>For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.</p>
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.<br><br>Responsibilities:<br>• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.<br>• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.<br>• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.<br>• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.<br>• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.<br>• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.<br>• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.<br>• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p>Robert Half Technology is seeking an experienced <strong>Privacy & Data Governance Consultant</strong> to support a client in the travel and insurance industry. This individual will play a key role in assessing and strengthening the organization's privacy and data governance practices, ensuring compliance with applicable regulations, and enhancing existing policies, procedures, and data protection controls.</p><p> </p><p><strong>This is primarily privacy compliance, governance, and policy-focused opportunity rather than a hands-on engineering role.</strong></p><p><strong> </strong></p><p><strong>Duration: </strong>6-month contract, with potential to extend</p><p><strong>Location: </strong>Client is based in Washington State – 100% remote</p><p><strong>Pay rate: </strong>$65-$75/hr</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess the organization's current privacy and data governance environment to identify gaps, risks, and opportunities for improvement.</li><li>Develop, review, and update privacy policies, procedures, and data protection practices to align with regulatory requirements and organizational objectives.</li><li>Support compliance with applicable federal and state privacy regulations, with an emphasis on Washington State privacy requirements.</li><li>Utilize Microsoft Purview to support data governance initiatives, including sensitivity labeling, data classification, and policy configuration.</li><li>Evaluate how sensitive information is collected, stored, accessed, protected, and shared across organizational systems.</li><li>Review existing data protection controls and recommend improvements to strengthen privacy compliance and reduce organizational risk.</li><li>Establish and refine data handling guidelines to ensure information is appropriately classified, protected, and shared.</li><li>Collaborate with internal technology, security, compliance, and business teams to align privacy policies with operational practices.</li><li>Provide guidance on privacy considerations related to Microsoft cloud environments, data centers, and emerging technologies.</li><li>Support ongoing privacy and data governance initiatives during organizational changes and process improvements.</li></ul>
Transform the Future of AI, Analytics & Intelligent Automation <br> We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise's analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company's long-term data and AI strategy. This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You'll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions. <br> Responsibilities: • Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building. • Help experienced the organization's approach to AI adoption, intelligent workflows, and advanced decision support capabilities. • Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value. • Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users. • Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions. • Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions. • Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery. • Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture. • Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows. • Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.
<p>We are actively building a network of experienced <strong>Marketing Analytics Specialists</strong> for potential upcoming opportunities with our clients. As new needs arise, these professionals will help organizations measure, analyze, and optimize marketing performance across digital channels, websites, and customer acquisition initiatives. The ideal candidate combines expertise in marketing analytics, website tracking, campaign measurement, reporting, and data visualization to deliver actionable insights that drive business growth. This position is focused on data-driven decision-making, marketing performance measurement, and business intelligence rather than campaign execution.</p><p><br></p><p><strong><u>Responsibilities </u></strong></p><ul><li>Implement, maintain, and validate website tracking, tagging, and measurement frameworks across digital properties.</li><li>Monitor website, customer journey, lead generation, conversion, and campaign performance metrics.</li><li>Develop dashboards, reports, and analyses that provide actionable insights to marketing and business stakeholders.</li><li>Measure and evaluate digital marketing performance, attribution, audience engagement, and return on investment across channels.</li><li>Partner with marketing, development, agency, and business teams to ensure data accuracy and support data-driven decision-making.</li><li>Conduct analytics audits, troubleshoot tracking issues, and maintain measurement documentation and reporting standards.</li><li>Support testing, optimization, and performance improvement initiatives across websites, campaigns, and customer experiences.</li><li>Recommend enhancements to analytics infrastructure, reporting capabilities, and measurement strategies.</li></ul><p><br></p>
<p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
<p>Hello!</p><p>I came across your profile today in our Robert Half database and wanted to see if you are currently open to new opportunities. Robert Half partners with Fortune 500 and Fortune 1000 organizations nationwide, and I am currently recruiting for an exciting opportunity with one of our premier clients.</p><p>• <strong>Position:</strong> Data Analytics Analyst (Intermediate) - Contract-to-Hire</p><p>• <strong>Location:</strong> Downtown Seattle, WA</p><p>• <strong>Schedule:</strong> 100% Onsite, Monday-Friday, 7:00 AM - 4:00 PM PST</p><p>• <strong>Interview Process:</strong> One Round Zoom Interview</p><p>• <strong>Required Education:</strong> Bachelor's Degree Required</p><p>• <strong>Work Authorization:</strong> No employer-sponsored immigration support available</p><p>• <strong>Hiring Manager:</strong> Josh Funston</p><p>Job Description</p><p>Our client is expanding a large-scale credit card marketplace initiative and is seeking a detail-oriented <strong>Data Analytics Analyst</strong> to support digital analytics, data collection, and instrumentation efforts. This role will focus on ensuring data is accurately captured, measured, and reported across digital platforms while identifying gaps in existing tracking and analytics processes.</p><p>The ideal candidate will possess strong analytical capabilities, excellent communication skills, and a foundational understanding of data analytics technologies, including Python and related tools. Recent graduates with relevant internship experience are encouraged to apply.</p><p>Key Responsibilities</p><p>• Translate business objectives into measurement specifications and data collection requirements</p><p>• Support instrumentation and tracking efforts across digital platforms</p><p>• Identify gaps in analytics, tagging, and reporting processes</p><p>• Partner with business and technology teams to ensure accurate data collection and reporting</p><p>• Validate tracking implementations and troubleshoot data quality issues</p><p>• Analyze customer and behavioral data to support business decision-making</p><p>• Assist with defining KPIs, success metrics, and performance measurements</p><p>• Document analytics requirements, standards, and processes</p><p>• Collaborate with stakeholders to improve reporting accuracy and data accessibility</p><p>• Communicate findings, risks, and recommendations to project teams and leadership</p><p>Required Qualifications</p><p>• Bachelor's Degree required</p><p>• Strong attention to detail and organizational skills</p><p>• Excellent verbal and written communication skills</p><p>• Strong understanding of data analytics concepts and methodologies</p><p>• Familiarity with Python and other analytics tools (certifications not required)</p><p>• Ability to identify trends, inconsistencies, and gaps within data sets</p><p>• Analytical mindset with strong problem-solving capabilities</p><p>• Internship, academic, or professional experience involving analytics, reporting, business intelligence, or data analysis</p>