Top Remote Analytics Jobs in San Diego, CA

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Leads strategy, planning, and execution of customer EMR integrations for PhareOS. Oversees end-to-end data delivery, integration quality, process standardization, tooling, vendors, and platform enhancements. Builds and scales the data integration team, manages resources and senior client stakeholders, and drives innovation across integration methods and operating models. Requires extensive healthcare data integration leadership, HL7/FHIR and interface engine expertise, SQL proficiency, and strong program management skills.

Leads an analytics team supporting commercial aviation aftermarket strategy. Oversees enterprise dashboards, forecasts, analytical models, data governance, KPI development, market intelligence, business cases, and strategic opportunity analysis. Manages request prioritization, quality assurance, delivery timelines, team capacity, hiring, coaching, and performance. Partners with business development and program teams to translate aerospace data and market trends into regional growth strategies and executive recommendations.

Manages the design, development, validation, and delivery of standard and ad hoc reports, dashboards, and data visualizations. Integrates complex data sources, gathers requirements, identifies actionable insights, and supports leadership decision-making. Drives reporting initiatives, improves analytics processes, conducts complex research, and collaborates cross-functionally. Provides subject-matter expertise, guidance to junior employees, and team leadership while ensuring accurate, timely reporting aligned with business needs.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Own the analytics function supporting fraud, credit risk, and operations. Build automation, reporting infrastructure, fraud-rule backtesting frameworks, risk-label systems, dashboards, and AI-assisted tools. Partner with stakeholders to identify high-impact opportunities, reduce manual work, and track hours saved. This hands-on individual contributor role has managerial scope and includes defining a new analytics function.

Designs scalable ETL/ELT pipelines, analytics-ready data models, and executive dashboards using Python, SQL, Tableau, Power BI, and cloud tools. Performs data mining, modeling, validation, documentation, and reporting while collaborating with technical and business stakeholders. Provides mentorship and technical guidance on analytics engineering, workflow automation, and data best practices. The role is fully remote, requires U.S. citizenship, and requires or permits obtaining Public Trust and Top Secret eligibility.

Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.

Leads the development of scalable business intelligence, reporting, dashboards, data governance, and analytics capabilities. Integrates syndicated CPG, loyalty, inventory, and store-level data to generate actionable commercial insights. Partners with Consumer Insights and cross-functional leaders, manages external data providers, improves data quality, and helps implement AI-enabled reporting and analytical workflows. Requires strategic leadership combined with hands-on data, BI, and stakeholder engagement.

Leads operational analytics and reporting for Business Operations, including recurring performance reporting, KPI development, dashboards, data validation, root-cause analysis, and actionable insights. Partners with cross-functional leaders to improve performance management, reporting automation, data quality, and decision-making. Builds and develops a high-performing analytics team while connecting operational metrics to customer experience, productivity, service, revenue, and cost.

Designs and maintains enterprise reports, dashboards, datasets, data models, and analytics solutions for DoD and DHA healthcare contact center operations. Translates contractual and operational requirements into standardized metrics and reporting specifications using Salesforce CRM Analytics, Salesforce Health Cloud, Amazon Connect, and related tools. Supports workforce management, quality assurance, patient engagement, data validation, automated refreshes, troubleshooting, compliance, and stakeholder reporting.

Leads strategy, roadmaps, quality standards, and modernization for College Board’s higher education data programs. Builds affordability measurement frameworks, dashboards, reports, market analyses, and opportunity scoring to guide institutional and student outreach. Analyzes international higher education data to expand SAT and AP recognition. Partners cross-functionally, manages external relationships, influences stakeholders, and translates complex datasets into strategic recommendations and actionable insights.

Design and maintain Twilio’s R&D analytics data layer using AWS and analytics modeling tools. Define metrics and data lineage, build automated reconciliation and quality checks, investigate anomalies, and communicate solutions. Collaborate with Product and Engineering, mentor analytics team members, and establish best practices for data modeling, testing, documentation, and code review.

Performs audit-focused data extraction, analysis, and reporting using SQL, R, Python, SAS, Posit, and Snowflake. Supports internal and external audits, legal, compliance, and investigations by transforming complex datasets, identifying risks and trends, reviewing data models and process flows, and providing code feedback. Requires 5+ years of data analysis experience, a relevant bachelor’s degree, and strong querying and project management skills.

Build and maintain dimensional data models in dbt and Snowflake for finance, operations, product, sales, and other business functions. Translate business questions into reliable data solutions, own model lifecycles, establish modeling and testing standards, optimize Snowflake performance and costs, collaborate with data engineering teams, review code, mentor colleagues, and communicate data definitions and tradeoffs to business leaders.

Build and maintain SQL and dbt data models, tables, views, dictionaries, and self-service tools on BigQuery. Support Accounting, Actuarial, and Claims stakeholders from request through production, monitor data quality, prevent defects, document processes, and review AI-generated code. The role requires hands-on data development, collaboration across projects, and growing ownership of a data domain and stakeholder relationships.