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Top Senior Data & Analytics Jobs
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Leads analytics for Chewy’s Voice of Customer organization by integrating customer, operational, survey, sentiment, and behavioral data. Builds dashboards, measurement frameworks, alerts, governance standards, and self-service analytics. Identifies customer friction, risks, root causes, and business impacts; conducts forecasting, experimentation, segmentation, and regression analyses. Develops executive-ready recommendations, partners with senior stakeholders, monitors customer-impacting events, and coaches analysts and cross-functional teams.
Top Skills:
OmniPower BIPythonRSnowflakeSQLTableau
Consumer Web • eCommerce • Software
Own high-impact revenue strategy analyses from problem framing through recommendations and decision support. Analyze marketplace performance, lead economics, monetization, retention, product adoption, and operating models using SQL, Python, financial modeling, and cross-functional data. Advise senior leaders, create executive- and board-ready materials, improve metric reliability, build reusable analytical frameworks, and influence decisions across Revenue, Product, Finance, and Operations.
Top Skills:
DbtGongLookerNotebooksPythonSQLTableauVersion Control
Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.
Top Skills:
AgileAmazon S3Apache AirflowSparkAWSCollibraDatabricksDevOpsETLGitlabJupyterMySQLPostgresPysparkPythonRedshiftScaled AgileSnowflakeSQLStarburstTableau
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.
Top Skills:
AgileSparkAzure Data PlatformCloud ComputingData GovernanceData LakesData LineageData WarehousingDatabricksMaster Data ManagementMetadata ManagementAzurePythonSQL
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Designs, builds, and scales secure enterprise data pipelines, warehouses, lakes, and lakehouses using Spark, Java/Scala, Hadoop, and AWS. Leads batch and near-real-time processing, cloud modernization, data governance, observability, production support, and technical initiatives across teams. Partners with stakeholders to deliver scalable solutions, troubleshoots incidents, establishes engineering standards, and mentors engineers while supporting Mastercard’s global payment platforms.
Top Skills:
Amazon EmrAmazon S3Apache AirflowApache NifiSparkAWSAws GlueCassandraCloud-Native Object StorageData CatalogingData LakehousesData LakesData LineageData Quality MonitoringData WarehousesDistributed ComputingDynamoDBEltETLHadoopJavaMetadata ManagementObservabilityOracleScalaSQLSQL Server
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Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Lead and grow an enterprise data engineering team while owning the Snowflake and Airflow platform roadmap. Build reliable, governed data products and modernize pipelines using AI-assisted and agentic workflows. Establish standards for quality, observability, lineage, cost efficiency, incident response, and documentation while partnering with Analytics, Data Science, Product, and business stakeholders.
Top Skills:
AirbyteApache AirflowAutogenClaude CodeCursorDbtEltFinopsFivetranGithub CopilotLanggraphLlmsMcpPythonRagSnowflakeSnowflake CocoSQL
Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Lead statistical measurement and client intelligence initiatives using healthcare, prescription, and claims data. Develop performance benchmarks, evaluate program impact, apply statistical and machine learning methods, advise data scientists, support survey-based measurement, manage analytics vendors, mentor analysts, and present findings to marketing teams and clients. The role requires advanced SQL and Python, healthcare data expertise, vendor management, and extensive quantitative experience.
Top Skills:
AncovaIqviaMachine LearningPythonSQL
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.
Top Skills:
ExcelExcel MacrosPowerPointPythonSASSQLTableauVBA
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Data Governance Specialist partners with business stakeholders to define governance requirements, ownership models, policies, and standards. The role designs stewardship, issue remediation, and metadata approval workflows; configures Collibra operating models, metamodel extensions, and workflows; develops governance frameworks; and leads training and change management. This position translates business needs into scalable technical roadmaps and supports adoption of data governance practices across the organization.
Top Skills:
AWSAzureCollibra
Manufacturing
Leads revenue growth analytics across pricing, promotions, assortment, and market trends. Develops pricing models, promotional strategies, forecasts, KPIs, dashboards, and predictive analyses to improve sales and profitability. Partners with Sales, Marketing, Finance, and Category Management to provide actionable recommendations, influence strategic decisions, and support planning across retail, commercial, eCommerce, and direct-to-consumer channels.
Top Skills:
AlteryxExcelPower BITableauTalend
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