Top Remote Analytics Jobs

Supports Cencora’s enterprise data and analytics platform modernization by collecting and analyzing datasets, creating dashboards with BI tools, tracking KPIs, conducting ad hoc analyses, documenting findings, and contributing to CI/CD and self-service solution delivery. Collaborates with cross-functional stakeholders to provide actionable insights, improve processes, and support data-driven decisions for internal and customer-facing products.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Design and execute complex analyses evaluating property claims operations, process changes, tools, and vendor partnerships. Build reporting frameworks, synthesize multi-source data, and translate findings into actionable recommendations for senior stakeholders. Independently lead analytical projects that improve financial outcomes, claims handling, customer results, and operational efficiency.

Leads the Property Claims Loss Insights analytics team, setting analytical strategy, developing talent, guiding complex analyses, and translating findings into recommendations for executive and business audiences. The role evaluates financial and operational impacts of claims tools, vendors, and process changes; prioritizes high-value work; ensures methodological rigor; challenges assumptions; and partners with leadership to improve claims handling and financial outcomes.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Analyzes marketing data to improve pipeline contribution, campaign performance, funnel conversion, attribution, and customer lifecycle outcomes. Builds Tableau dashboards, queries and validates datasets with SQL, supports segmentation and propensity models, monitors data governance across Salesforce and Marketo, and automates reporting and data-quality workflows. Partners with cross-functional stakeholders to define KPIs, communicate insights, and inform marketing investment decisions while applying responsible AI practices.

Leads analytics, data architecture, outcomes measurement, health economics and outcomes research, ROI modeling, governance, and client reporting. Manages a multidisciplinary data team and partners with Engineering, Product, executives, and payer stakeholders to translate clinical and financial evidence into actionable decisions. Oversees accurate, repeatable analyses and communicates findings through dashboards, white papers, presentations, and impact briefs.

Analyze healthcare and utilization data to identify inefficiencies, support data-driven decisions, maintain analytical dashboards, develop insight-generating models and tools, and communicate findings to technical and non-technical stakeholders. The role also monitors improvement initiatives, supports strategic projects, and ensures compliance with applicable regulations.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Support client projects by structuring business problems, assessing data, selecting analytical approaches, conducting analyses, building and validating models, and translating findings into recommendations. The role involves quantitative consulting across industries, collaboration with clients and project teams, and potential work in AI, credit risk, sustainability, optimization, GenAI, and supply chain analytics. Business fluency in German and English and willingness to travel are required.

Supports client projects by structuring analytical problems, assessing data, selecting analytical methods, conducting analyses, building and validating models, and translating results into recommendations. Work may involve AI, predictive modeling, portfolio decarbonization, credit risk, optimization, chatbots, and supply-chain analytics. The role also includes client collaboration, communicating complex concepts clearly, and contributing to project teams across industries.

Supports commercial analytics through data mining, data management, client segmentation, reporting, spreadsheet organization, and data visualization. Uses Tableau, Excel, and Salesforce to generate insights and support commercial decision-making. The intern also assists with contract and business-information review, recurring data processes, ad hoc projects, and collaboration with internal and external stakeholders.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Leads digital measurement analytics for marketing platforms, including data collection and validation, dashboard development, feature performance reporting, user behavior analysis, journey friction identification, and UX improvement recommendations. Partners with marketing, technology, digital, and analytics stakeholders to deliver strategic priorities, manage projects, communicate insights, and build analytics roadmaps using tools such as Adobe or Google Analytics, Python, SAS, SQL, Tableau, and AWS SageMaker.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Manages an HR Analytics team conducting advanced analysis and modeling of HR, payroll, financial, and business data. Leads dashboard and reporting development, translates business questions into analytical solutions, provides strategic recommendations, manages analytical projects, and supports change management. Develops team capabilities through hiring, coaching, mentoring, and performance management while partnering with HR stakeholders to improve decision-making and business outcomes.

Analyze financial, operational, commercial, customer, and organizational performance metrics. Build dashboards, scorecards, and executive reports; synthesize data into actionable insights; support forecasting, scenario analysis, business planning, strategic initiatives, and executive decision-making through quantitative analysis and modeling.

Leads General Liability insurance pricing analytics, predictive modeling, model governance, and data science strategy. Develops, validates, deploys, and monitors advanced statistical and actuarial models supporting underwriting, profitability, and pricing decisions. Partners with actuarial, underwriting, product, claims, finance, and technology teams; communicates recommendations to senior leaders; manages complex projects; and leads, coaches, and develops analytical staff.

Conduct people analytics and psychometric research to improve employee experience and organizational effectiveness. Design and validate surveys and assessments, perform statistical analyses and experiments, evaluate talent initiatives, and translate behavioral and workforce data into actionable insights for HR leaders and executives. Manage multiple projects while applying I/O psychology, quantitative methods, and data storytelling.

Leads digital analytics for Ford Pro Digital Product, translating stakeholder questions into measurement plans, KPIs, advanced journey analyses, dashboards, and actionable recommendations. The role uses SQL and digital analytics platforms to integrate behavioral, customer, transaction, and enterprise data. It also develops reusable analytical methods, automation, and AI-enabled workflows, partners with cross-functional teams, and presents findings to technical and executive audiences.