This page tracks remote data analyst openings that are location-eligible for Arizona.
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Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
• Define and drive the analytics vision across the casino experience. • Champion a culture of data-driven decision-making. • Set and govern experimentation strategy. • Serve as a trusted strategic advisor to senior leadership. • Lead the advancement of scalable reporting, monitoring, and analytical frameworks. • Partner closely with Revenue Operations, Data Science, Product, and other cross-functional stakeholders. • Lead and develop a high-performing analytics team.
Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
• Define and drive the analytics vision across the casino experience. • Champion a culture of data-driven decision-making. • Set and govern experimentation strategy. • Serve as a trusted strategic advisor to senior leadership. • Lead the advancement of scalable reporting and analytical frameworks. • Partner closely with cross-functional stakeholders to evaluate customer behavior.
• Serve as the primary analytics partner for Community Marketing and Client Development. • Help define the analytics roadmap and key measurement priorities for Community programs. • Partner with Community Marketing leadership to prioritize opportunities based on business impact. • Develop hypotheses, business cases, and recommendations that inform strategic decisions. • Lead analyses across advisor referrals, client referrals, COI programs, events, specialty initiatives, advisor-sourced opportunities, and emerging Community programs. • Diagnose performance trends and identify root causes of business challenges and opportunities. • Conduct market-level, advisor-level, and program-level analyses to uncover growth opportunities and performance gaps. • Evaluate lead quality, conversion performance, pipeline contribution, and program ROI. • Translate complex findings into clear, actionable recommendations that influence decision-making. • Own the development, maintenance, and ongoing enhancement of Community Power BI dashboards, executive scorecards, reporting packages, and self-service reporting tools. • Develop scalable reporting solutions that reduce manual effort and increase visibility into Community performance. • Partner with Business Intelligence, Salesforce, and Operations teams to improve data quality, reporting automation, and measurement capabilities. • Identify gaps in tracking, attribution, reporting logic, and operational processes. • Help standardize KPIs, reporting definitions, and performance methodologies across Community programs. • Leverage AI-enabled tools, including Claude, to accelerate analysis, reporting, insight generation, and workflow automation. • Own recurring business reviews, executive scorecards, performance updates, and operating cadences for Community Marketing. • Drive the weekly Community Program Office (PO) process, including agenda development, initiative tracking, status reporting, action item management, and follow-up. • Provide executive leadership with clear visibility into program performance, priorities, blockers, risks, dependencies, and areas requiring support or intervention. • Support quarterly business reviews, annual planning, and strategic planning efforts through reporting, analysis, and recommendations. • Develop forecasts for leads, SQLs, opportunities, pipeline, and revenue. • Establish success metrics and measurement frameworks for Community programs and new initiatives. • Monitor performance, identify optimization opportunities, and partner with program owners to drive improvements. • Support annual planning, goal setting, and performance tracking activities. • Build strong partnerships across Community Marketing, Client Development, Revenue Partner leadership, Salesforce, Operations, and Business Intelligence. • Act as a trusted advisor to Community program owners and leadership teams. • Drive a culture of accountability, measurement, and continuous improvement through data-driven decision making.
Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge. Guiding organizations through complex digital decisions.
Role Description As a Data Analyst II, you will manage, maintain and monitor master data and costing quality. Responsibilities include: - Monitoring the input practices for mastering data and guaranteeing proper data entry. - Maintaining and creating master data records in accordance with Insight policies. - Acting as a subject matter expert and escalation point within the organization. - Engaging in projects with cross-functional team members. - Training and guiding team members on master data and costing policies and procedures. - Looking for efficiencies and analyzing patterns in current processes. - Backing up other team members in their absence by having knowledge of their programs and job functions. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Qualifications - Associates degree or above from a college or university; or 3 years industry work experience. - Advanced spreadsheet skills. - Ability to analyze and troubleshoot information for resolution. - Ability to work well in cross-functional teams. Benefits - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. - Core values of Hunger, Heart, and Harmony, guiding relationships with teammates, partners, and clients.
Sales enablement platforms customized for media, and ad tech companies that help you close more deals.
• Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects. • Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground. • Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually. • Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story. • Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team. • Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases. • Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery. • AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment. • Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role. • Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time.
Buyers Edge Platform: the leading foodservice Digital Procurement Network, powered by data, software, and collaboration.
• Partner with trading partners to understand business and data integration requirements during implementation and onboarding. • Analyze incoming customer data and perform gap analysis to identify discrepancies, missing information, and opportunities for improvement. • Configure and implement customer integrations using existing proprietary data mapping and transformation requirements. • Communicate integration specifications to customers and business partners, recommending enhancements to file layouts, naming conventions, and data structures when needed. • Collaborate closely with Software Development and Product teams to support enhancements to existing integrations and implement new capabilities. • Validate imported data to ensure accuracy, completeness, and successful processing. • Monitor daily automated data integrations across more than 460 business partners, proactively identifying and resolving data issues. • Investigate and troubleshoot data integration failures, working directly with internal teams and external partners to drive timely resolution. • Support internal and external customer inquiries related to data transformation, file processing, and integration workflows. • Prioritize multiple implementation projects and support requests while meeting established business deadlines. • Contribute to continuous improvement initiatives that enhance integration processes, data quality, and customer experience.
Sales enablement platforms customized for media, and ad tech companies that help you close more deals.
Role Description The Data Analyst, Advertising Insights & Strategy is an entry-level role built for someone early in their career who wants to grow into a client-facing analyst. You'll support our custom analytics engagements, including our work for major enterprise accounts, by pulling and organizing enriched competitive advertising data, surfacing creative assets, and building the first pass of analysis that our client-facing analysts use to shape their recommendations. This role is horizontal across the business, meaning you'll support multiple accounts and projects rather than a single client, and it's designed to build the skills needed to grow into a more senior, client-facing analyst role over time. Responsibilities - Data Analysis & Reporting Support (≈60%) - Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects. - Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground. - Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually. - Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story. - Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team. - Cross-Account Support & Growth (≈40%) - Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases. - Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery. - AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment. - Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role. - Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time. Qualifications - Education: Bachelor's degree in Business Analytics, Marketing, Communications, Media, Data Science, or a related field (recent graduates encouraged to apply). - Experience: 0–1 years of professional experience; relevant internships, coursework, or project experience in analytics, marketing, or media are a plus. No prior advertising industry experience required. - Technical Curiosity: Comfortable working with data and spreadsheets (Excel/Google Sheets); interest in or exposure to data visualization tools (e.g., Tableau) is a plus. - AI Fluency: Genuine interest in using AI tools like Claude to work more efficiently, paired with the judgment to know when to double-check its output. - Communication: Strong writing and organizational skills; able to summarize findings clearly for a technical, internal audience. - Aptitude: Detail-oriented, curious, and eager to learn; comfortable managing a few different assignments at once and asking questions when needed. Preferred Skills - Analytical Coursework or Projects: Prior exposure to market research, media, or advertising concepts through coursework, internships, or personal projects. - Growth Mindset: Interest in eventually moving into a client-facing analyst or strategy role. - Adaptability: Comfortable jumping between different accounts and types of analysis rather than specializing in one vertical right away. Benefits - Medical, Dental & Vision Insurance - 401k with Company Match - Flexible PTO - Commuter Benefits - Gym Discounts - Summer Fridays
• Support recurring performance reporting, including daily, weekly, and monthly packages that show leadership where our programs stand. • Build and maintain dashboards and scorecards (in Retool and BI tools) tracking leading indicators, SLA pacing, and operational performance across payer programs. • Pull, validate, and QA data from operational systems to ensure reporting is accurate before it reaches leadership. • Support clinical performance reporting across medication adherence, post-discharge visit completion, care gaps, and quality measures (HEDIS, Stars), surfacing the signal for clinical partners. • Investigate missed targets, unexpected trends, data discrepancies, and reporting issues to identify root causes and improve reporting accuracy. • Build, maintain, and QA workflows, lists, and properties to support Care Ops reporting and program operations. • Maintain clean, consistent, and reporting-ready data to ensure reliable reporting and dashboards. • Support new reporting requirements and operationalize program changes as contracts and programs evolve. • Flex to team priorities and take on new analytical and operational tasks as they emerge.
Role Description At LearnTastic, data is at the heart of every strategic decision. As a Data Analytics Specialist (Web Analytics & Conversion Optimization), you will play a critical role in driving business growth by transforming data into actionable insights that enhance user experience, optimize digital performance, and improve conversion outcomes. You'll collaborate with a high-performing team of marketing, product, and technology professionals in a fast-paced, innovation-driven environment where your expertise will have a direct and measurable impact. - Analyze website performance and user behavior using Google Analytics 4 (GA4) and Google Tag Manager (GTM). - Monitor key performance indicators (KPIs), conversion funnels, and user journeys to identify optimization opportunities. - Develop dashboards and performance reports using Looker Studio, Power BI, or similar visualization tools. - Conduct A/B testing and conversion rate optimization (CRO) initiatives to improve user engagement and conversions. - Implement, validate, and maintain event tracking and conversion tracking to ensure data accuracy. - Partner with Marketing, Product, and Web Development teams to provide data-driven recommendations. - Present analytical findings and strategic insights to support business and marketing objectives. Qualifications - Strong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM). - Proficiency in Looker Studio, Power BI, or Tableau for dashboard creation and data visualization. - Strong knowledge of SQL, Microsoft Excel, and website performance analysis. - Hands-on experience with Conversion Rate Optimization (CRO), A/B testing, and user behavior analysis. - Experience implementing and managing event tracking, conversion tracking, and analytics frameworks. - Solid understanding of website analytics, customer journey analysis, and conversion funnel optimization. - Excellent analytical, problem-solving, and communication skills with the ability to present actionable insights. - Bachelor's degree in Analytics, Computer Science, Marketing, Business, or a related field. Location Remote Employment Type Full-time
Supporting People, Performance, and Safety across the QC Ecosystem.
• Gather, organize, and document program, operational, and business requirements from stakeholders across the ecosystem. • Develop and maintain SOPs, workflows, process maps, onboarding materials, and PMO templates. • Standardize documentation practices across multiple entities and project teams. • Validate data inputs before information is distributed to program leadership. • Ensure consistency and accuracy across dashboards, reports, metrics, and status updates. • Maintain data dictionaries and reporting standards to ensure common definitions across all stakeholders. • Support Program Managers and Project Managers with reporting, documentation, meeting preparation, and analysis. • Identify process inefficiencies, reporting challenges, and documentation gaps.
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SQL, Tableau, Python, Excel, Observability/Monitoring, ERP
