<p>Robert Half Management Resources is recruiting for a Procurement Analytics & AI Enablement Consultant to support a procurement-focused transformation effort to support our global entertainment client based in Los Angeles, California. This long-term hybrid contract opportunity is ideal for someone who can turn operational data into clear insights, build scalable reporting solutions, and strengthen team adoption of digital collaboration and AI-enabled tools. The person in this role will partner with stakeholders to improve visibility into priorities, performance, and opportunities through dashboards, automated reporting, and structured knowledge-sharing resources.</p><p><br></p><p>Responsibilities:</p><p>• Create executive-facing dashboards that highlight procurement activity, initiative status, potential value opportunities, and overall performance trends.</p><p>• Develop automated reporting processes by connecting Asana and other relevant data sources to deliver timely, reliable updates with less manual effort.</p><p>• Establish and manage a centralized SharePoint environment that organizes key documents, communications, and reference materials for the broader team.</p><p>• Promote effective use of SharePoint by defining content governance practices and ensuring information remains accurate, current, and easy to locate.</p><p>• Produce practical AI learning materials that help teams apply generative AI to sourcing activities, supplier outreach, proposal review, negotiation support, and reporting tasks.</p><p>• Lead workshops, user training sessions, and support hours to build confidence and increase adoption of AI-driven tools and workflows.</p><p>• Design reusable prompt libraries, templates, and productivity resources that enable more consistent and efficient ways of working.</p><p>• Identify workflow improvement opportunities within Asana and related processes to enhance operational efficiency and strengthen data quality.</p><p>• Support analytics needs tied to large-scale transformation or post-merger integration activities as part of the broader procurement program.</p><p>• Partner with stakeholders to gather feedback and continuously enhance reporting tools and analytics solutions.</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>
We are looking for an experienced Data Analyst to join a mission-driven non-profit organization in Battle Creek, Michigan. This onsite position is ideal for someone who is detail oriented and can quickly step into a lean team environment and turn complex information into clear, decision-ready reporting. The role centers on analyzing data, developing impactful dashboards, and supporting fraud-focused insights through strong business intelligence practices.<br><br>Responsibilities:<br>• Analyze organizational data to identify trends, patterns, and actionable insights that support reporting needs and operational decisions.<br>• Build and maintain Power BI dashboards and reports that present information in a clear, accurate, and useful format for stakeholders.<br>• Produce recurring and ad hoc reports to meet business needs, with a focus on timely and reliable delivery.<br>• Support fraud-related analysis by reviewing data for irregularities, risk indicators, and areas requiring further investigation.<br>• Work with data sources and warehousing structures to improve reporting quality, consistency, and accessibility.<br>• Collaborate closely with a small onsite team, contributing independently while helping strengthen overall analytics capacity.<br>• Translate raw data into business intelligence outputs that help leadership monitor performance and make informed choices.
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property & Casualty insurance industry is required<br>Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
<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 operational teams during a period of rapid expansion by identifying inefficiencies and turning complex workflows into scalable, data-informed processes. This position combines hands-on execution with analytical problem-solving, helping teams improve productivity through automation, reporting, and measurable process improvements. Based in Concord, California, this role works closely with cross-functional stakeholders to uncover savings opportunities, strengthen data reliability, and support smarter business decisions.<br><br>Responsibilities:<br>• Partner with internal teams to assess day-to-day processes, document workflow patterns, and uncover barriers that slow execution.<br>• Design and implement practical automation solutions that reduce repetitive administrative work and improve operational consistency.<br>• Analyze time, cost, and throughput data to identify inefficiencies and estimate the business value of proposed process enhancements.<br>• Support high-volume operational periods by improving task handoffs, refining process flow, and increasing team capacity.<br>• Create business intelligence dashboards and reporting tools that track performance metrics, productivity trends, and key operational indicators.<br>• Develop data models that enable clear analysis of business performance and support decision-making across departments.<br>• Connect and reconcile information from systems such as Salesforce, NetSuite, and other business platforms to provide a unified reporting view.<br>• Maintain the accuracy and structure of operational datasets so reporting tools and business processes rely on dependable information.<br>• Prepare data-backed recommendations and business cases to help leadership evaluate automation, tooling, and workflow redesign initiatives.
<p>Data Analyst</p><p><br></p><p>We are looking for a Data Analyst to turn raw data into clear, actionable insight. This role builds reports and dashboards, digs into the numbers, and helps stakeholders make better decisions.</p><p><strong>Responsibilities</strong></p><ul><li>Write and optimize SQL queries to extract and transform data from multiple sources</li><li>Build and maintain dashboards and reports in Power BI or Tableau</li><li>Analyze trends and deliver findings to business stakeholders</li><li>Partner with departments to gather requirements and define metrics</li><li>Ensure data quality, accuracy, and consistency across reporting</li><li>Document data definitions, sources, and reporting logic</li></ul><p><br></p>
<p>We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization.</p><p><br></p><p>Responsibilities:</p><p>• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.</p><p>• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.</p><p>• Develop and run database queries to extract, organize, and interpret information from multiple sources.</p><p>• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.</p><p>• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.</p><p>• Work closely with cross-functional teams to support informed decision-making with timely analytical input.</p><p>• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.</p>
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions.<br><br>Responsibilities:<br>• Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development.<br>• Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions.<br>• Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable.<br>• Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities.<br>• Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs.<br>• Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability.<br>• Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision.<br>• Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
<p>Our client is seeking a Contract Data Analyst to support a Salesforce modernization project in San Mateo, CA. This hybrid role (1-2 days onsite) will focus heavily on data cleanup, data integrity, and overall data quality as the organization works to enhance and streamline its Salesforce environment. The ideal candidate will have strong experience analyzing, cleansing, and validating large datasets, with a particular emphasis on CRM data and process improvement. This person will partner with business and technical teams to identify data issues, standardize records, and help ensure the success of the Salesforce transformation initiative. </p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Perform data cleanup, deduplication, normalization, and validation within Salesforce and related systems. </li><li>Identify data quality issues, inconsistencies, and gaps, and recommend corrective actions. </li><li>Support data migration, mapping, and integrity checks tied to the Salesforce modernization effort. </li><li>Analyze existing data structures and help establish best practices for ongoing data governance and stewardship.</li><li>Create reports, dashboards, and ad hoc analyses to support project stakeholders and business decision-making. </li><li>Collaborate with cross-functional teams, including business users, IT, and project leadership, to ensure data accuracy and consistency. </li><li>Document data definitions, business rules, and cleanup processes. </li><li>Assist with testing and validation of updated Salesforce workflows, fields, and records. </li></ul><p><br></p>
<p>Data Analyst</p><p><strong>Job Description</strong></p><p>Seeking a Data Analyst to collect, analyze, and interpret data to help drive business decisions and improve operational performance.</p><p><strong>Responsibilities</strong></p><ul><li>Analyze large datasets and identify trends</li><li>Create reports, dashboards, and visualizations</li><li>Perform data validation and quality checks</li><li>Present findings and recommendations</li><li>Collaborate with cross-functional teams</li></ul>
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
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.
<p><strong>Overview</strong></p><p>We are seeking an experienced Data Analyst to support a large-scale healthcare data and reporting transformation initiative. This role is ideal for a hands-on analyst who is comfortable working with complex datasets, building reports and dashboards, and partnering with business stakeholders to ensure critical reporting remains accurate and available during system transitions. You will play a key role in maintaining reporting continuity, supporting data validation efforts, and delivering actionable insights in a fast-paced environment.</p><p><br></p><p><strong>POSITION: DATA ANALYST</strong></p><p><strong>LOCATION: REMOTE</strong></p><p><strong>DURATION: CONTRACT</strong></p><p><strong>RATE: $60 - $65/HOUR</strong></p><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><ul><li>Develop, maintain, and enhance reports and dashboards to support business and operational reporting needs.</li><li>Migrate and rebuild reporting assets as data sources and reporting requirements evolve.</li><li>Create and optimize SQL queries to extract, analyze, and validate data from enterprise data warehouse environments.</li><li>Build, maintain, and enhance Power BI reports, dashboards, and semantic data models.</li><li>Analyze reporting requirements and translate business needs into actionable data solutions.</li><li>Validate data accuracy, troubleshoot reporting discrepancies, and partner with technical teams to resolve issues.</li><li>Support data integration, reporting continuity, and analytics initiatives during system and process changes.</li><li>Collaborate with business stakeholders, analysts, and technical teams to prioritize and deliver reporting requests.</li><li>Document report logic, data sources, business rules, and reporting processes.</li><li>Provide analytical support across multiple projects while managing shifting priorities and deadlines.</li></ul><p><br></p>
<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 with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</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>
We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities.<br><br>Responsibilities:<br>• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.<br>• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.<br>• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.<br>• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.<br>• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.<br>• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.<br>• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.<br>• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
<p>We are looking for a Director of Data Analytics to lead and expand a growing analytics function in Columbia, South Carolina. This leader will combine technical depth with strategic direction to strengthen enterprise reporting, advance data governance practices, and build strong partnerships across the institution. The role is well suited for someone who enjoys balancing hands-on problem solving with team leadership and is ready to shape a modern analytics capability.</p><p><br></p><p>Responsibilities:</p><p>• Lead the institution’s data analytics strategy while serving as a key member of the analytics leadership team.</p><p>• Oversee the development of internal reporting capabilities, reducing reliance on external reporting support and improving access to actionable insights.</p><p>• Guide the continued growth of the analytics team by recruiting, mentoring, and structuring roles across management, engineering, and analyst functions.</p><p>• Partner with administrative and academic stakeholders to understand reporting needs and translate them into scalable data solutions.</p><p>• Direct data warehouse and ingestion efforts to ensure reliable, consistent, and well-organized data for reporting and analysis.</p><p>• Establish and strengthen data governance standards that improve data quality, stewardship, and institutional trust in reporting.</p><p>• Support the evaluation and adoption of business intelligence tools, including cloud-based visualization platforms and enterprise reporting technologies.</p><p>• Contribute both strategically and technically by helping design data architecture, advising on engineering practices, and supporting complex analytics initiatives</p>
<p><strong>Data Analyst I</strong></p><p><strong>4-month Contract with potential extensions/conversion</strong></p><p><strong>Hybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm</strong></p><p><br></p><p>We are looking for a detail-oriented Data Analyst I to support operational improvement efforts in Phoenix, AZ. This is a contract position focused on examining workflow data, uncovering recurring issues, and helping the business operate more efficiently. The ideal candidate brings strong curiosity, sound judgment, and a proactive approach to solving problems while working closely with internal stakeholders. This role follows a hybrid schedule with in-office work Monday through Thursday and remote work on Friday.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.</p><p>• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.</p><p>• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.</p><p>• Create clear documentation for findings, process updates, recommendations, and operational changes.</p><p>• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.</p><p>• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.</p><p>• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.</p><p>• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.</p>
<p>We are looking for an experienced BI Analyst to support enterprise reporting and analytics initiatives in Tallahassee, Florida. This Long-term Contract position focuses on developing robust Power BI semantic models, dashboards, and reports powered by Snowflake data. The role partners closely with technical teams and business stakeholders to turn reporting needs into scalable, reliable, and high-performing analytical solutions.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine Power BI dataflows and semantic layers using sound dimensional modeling techniques to support consistent reporting outcomes.</p><p>• Produce insightful dashboards and analytical reports in Power BI that align with business objectives and provide an intuitive user experience.</p><p>• Create sophisticated analytical calculations and reporting logic to enable meaningful metrics, trends, and performance tracking.</p><p>• Write, test, and improve complex SQL queries against Snowflake, including advanced query patterns used for reporting and data preparation.</p><p>• Work alongside data engineering teams to shape fact and dimension structures that support efficient consumption within Power BI.</p><p>• Configure and support Power BI connectivity to Snowflake with attention to reliability, query performance, and efficient data processing.</p><p>• Investigate and resolve reporting and dataset performance issues across Power BI models, SQL logic, and Snowflake processing layers.</p><p>• Maintain clear documentation for metadata, report definitions, and data lineage to strengthen governance, transparency, and long-term supportability.</p>
<p>We are seeking an experienced <strong>Clinical Data Architect / Data Management Specialist</strong> to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.</p>
<p><strong>Digital Business Analyst</strong></p><p><strong>Location: Hybrid in Houston, TX; Onsite 3-4 days/week</strong></p><p><strong>Duration: 6 month contract, extension/conversion potential</strong></p><p><br></p><p>We are looking for an experienced digital business analyst to help shape and strengthen customer self-service experiences in Houston, Texas. This contract position will work closely with product, UX, data, and business teams to turn customer needs into practical digital solutions across web, mobile, and conversational channels. The role focuses on improving customer journeys, advancing AI-supported capabilities, and ensuring initiatives are delivered with measurable business value.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Drive discovery and requirements planning for digital self-service capabilities across customer-facing channels such as websites, mobile applications, and chat-based tools.</p><p>• Examine customer interactions from start to finish to uncover pain points, remove barriers, and increase satisfaction, adoption, and operational efficiency.</p><p>• Collaborate with business partners, UX specialists, product leaders, and data teams to create user stories, define acceptance criteria, and establish meaningful success measures.</p><p>• Assess where artificial intelligence and machine learning can improve customer support and self-service through features such as virtual assistants, predictive insights, personalization, and intelligent automation.</p><p>• Convert complex business goals and AI-related concepts into clear functional requirements that support scalable, measurable digital products.</p><p>• Act as the connection point between stakeholders and technical teams to maintain shared understanding, alignment, and effective execution in an Agile environment.</p><p>• Guide backlog grooming, priority setting, sprint preparation, and risk tracking to keep delivery efforts focused on customer and business outcomes.</p><p>• Contribute to product direction by helping define feature vision, support decision-making, and promote continuous enhancement of digital experiences.</p><p>• Provide guidance to less experienced analysts when needed and support cross-functional project efforts through leadership and mentorship.</p>
<p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data models, staging layers, and curated datasets within a modern cloud-based data environment.</li><li>Build and support enterprise reporting solutions, including semantic models, metrics, dashboards, and self-service analytics capabilities.</li><li>Partner with business stakeholders to gather requirements and translate complex business processes into well-structured analytical solutions.</li><li>Monitor and support scheduled data integration processes, report refreshes, and related data workflows.</li><li>Troubleshoot data quality, reporting, and pipeline issues while identifying opportunities for process improvement.</li><li>Create and maintain documentation for datasets, metrics, reporting logic, and data lineage.</li><li>Promote data quality standards, modeling best practices, and governance principles across the analytics environment.</li><li>Continuously identify opportunities to streamline workflows, improve reporting accuracy, and enhance data accessibility.</li></ul><p><br></p>
We are looking for a Business Analytics/Data Analyst to join a long-term contract opportunity in Dallas, Texas within the energy and natural resources sector. This position will focus on preparing, organizing, and validating critical business data to support a large-scale enterprise implementation, while partnering with both business and technical teams to maintain accuracy and consistency. The ideal candidate brings strong analytical ability, hands-on data migration experience, and the communication skills needed to guide data-related activities from planning through execution.<br><br>Responsibilities:<br>• Examine legacy data sources to identify migration needs, data dependencies, and conversion priorities for the new enterprise platform.<br>• Prepare data for migration by performing cleansing, standardization, mapping, and transformation activities to improve quality and usability.<br>• Coordinate extraction, load, and reconciliation efforts to confirm that converted data is complete, accurate, and aligned with business expectations.<br>• Work closely with stakeholders, IT teams, and external implementation partners to investigate discrepancies and resolve data-related issues efficiently.<br>• Assist with test cycles, trial conversions, and cutover readiness activities to support a smooth transition into production.<br>• Create and maintain clear documentation for migration logic, validation rules, workflows, and internal controls.<br>• Monitor data quality throughout the project lifecycle and help uphold governance, integrity, and compliance standards.<br>• Use analytical and reporting tools to evaluate migration results, identify trends, and provide actionable insights to project teams.
We are looking for a Marketing Data Analyst to turn marketing and customer data into clear insights that strengthen campaign strategy and business decisions for a financial services organization in Troy, Michigan. This role combines reporting, audience analysis, market research, and cross-functional collaboration to improve marketing performance across multiple channels. The ideal candidate brings strong analytical ability, experience working with CRM or marketing data platforms, and a practical understanding of how data can support member-focused growth. <br> Responsibilities: • Serve as the internal expert on the CRM marketing data platform and related tools, helping the team maximize system capabilities and maintain reliable data usage practices. • Create, run, and verify database queries while routinely reviewing data quality to support accurate reporting and dependable campaign execution. • Combine internal financial services information with external and industry data sources to enrich analysis and strengthen marketing initiatives. • Produce recurring reports and dashboards that track campaign outcomes, brand indicators, referral activity, and performance across paid, earned, and owned channels. • Partner with campaign owners and business stakeholders to interpret results, identify trends, and recommend adjustments that improve marketing effectiveness. • Conduct primary and secondary research to support decisions related to brand positioning, product and service opportunities, pricing considerations, and member engagement strategies. • Build audience segments using first-party and third-party data, applying analytical methods to refine targeting for prospecting, onboarding, re-engagement, and automated marketing journeys. • Work with vendors, IT, and internal teams to gather insights, support testing strategies, monitor lead progression from initial response through conversion, and fulfill specialized reporting or research requests.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.