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Top Remote Data & Analytics Jobs
Artificial Intelligence • eCommerce • Food
The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.
Top Skills:
DatabricksLookerSQL
Healthtech • Information Technology • Software • Telehealth
Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.
Top Skills:
SQL
Reposted 2 Months AgoSaved
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Data Governance and Stewardship Lead will develop and implement a data governance framework, ensuring data quality and compliance, and collaborating with business and technology teams.
Top Skills:
AtlanCollibraPythonSQL
Artificial Intelligence • Cloud • Information Technology • Consulting
Design and deliver scalable data and analytics solutions supporting the end-to-end sales lifecycle. Integrate SAP, Salesforce, and other enterprise sources into cloud data lakes, modernize BI platforms, ensure data quality and governance, drive automation and process improvements, and provide technical leadership and mentorship to teams while partnering with business and IT stakeholders.
Top Skills:
DatabricksEtl ToolsPythonSalesforceSAPSnowflakeSQL
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.
Top Skills:
ChainalysisEllipticPythonSQLTrm Labs
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eCommerce • Mobile • Retail
The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.
Top Skills:
Business Intelligence ToolsD3ReactSQLWeb App Development
AdTech • Agency • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • PropTech
Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.
Top Skills:
Ai-Assisted Development ToolsBigQueryCubeDataformDbtDbt Semantic LayerFivetranGitHexLightdashLookerLookmlMetabaseMetricflowOmniPrefectPythonReverse EtlSigmaSnowflakeSQLSqlmeshTableau
Artificial Intelligence • Fintech • Healthtech • Software
Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.
Top Skills:
Ai/Ml ToolingLookerNetSuiteOmniPaypalPayzenSnowflakeSQLStripe
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.
Top Skills:
AlteryxKnimeMicrosoft AccessMicrosoft Sql ServerPythonRSASSpotfireSQLTableau
Events
Own customer data migration projects end-to-end: review, clean, map, import, validate, and QA records (events, tickets, customers, orders, donations, opt-ins, seating). Troubleshoot and monitor integrations (POS, CRM, marketing, reporting) using SQL, CSVs, APIs, webhooks, logs and admin tools. Build repeatable playbooks, documentation, and processes to reduce engineering dependency and ensure production data accuracy.
Top Skills:
APIsBackground JobsBigQueryCloverConversions ApiCsvGoogle CalendarHubspotJavaScriptLookerMeta AdsMetabaseOauthPostgresPythonRetoolRubyRuby On RailsSQLStripeToastTwilioWebhooks
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