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Volunteer Insurance Data Analytics Jobs in California

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Showing results 21-40

Volunteer Insurance Data Analytics information

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

What are the most commonly searched types of Insurance Data Analytics jobs in California? The most popular types of Insurance Data Analytics jobs in California are:
What are popular job titles related to Volunteer Insurance Data Analytics jobs in California? For Volunteer Insurance Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Volunteer Insurance Data Analytics jobs in California look for? The top searched job categories for Volunteer Insurance Data Analytics jobs in California are:
What cities in California are hiring for Volunteer Insurance Data Analytics jobs? Cities in California with the most Volunteer Insurance Data Analytics job openings:

Sr. Data Engineer, Data Analytics & Reporting

Tatcha

San Francisco, CA • On-site

$150K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Job Summary

Tatcha is seeking a Sr. Data Engineer to lead the Data Analytics & Engineering function supporting our portfolio. You will define and execute the data and analytics strategy that enables trusted insights, build reporting & analytics that will supports decision-making across business functions across. This role blends strategic data leadership, data engineering and reporting experience, and strong business partnership, with accountability for delivering scalable, secure, and consumer & commercial analytics across Tatcha.

Key Responsibilities

  • Architect, build, and optimize scalable enterprise data solutions on Snowflake, ensuring performance, reliability, and security across the data ecosystem.
  • Design and maintain modern data warehouse, data mart, and semantic layer architectures that support trusted, business-ready analytics.
  • Develop and manage robust ELT/ETL pipelines using FiveTran, dbt, Airflow, and related technologies to deliver high-quality, governed data.
  • Establish data quality, observability, lineage, monitoring, and governance frameworks that ensure accuracy and trust in enterprise data assets.
  • Create and manage semantic models that standardize business metrics, KPIs, and reporting definitions across the organization.
  • Partner with business, analytics, and technology stakeholders to translate complex requirements into scalable data products and self-service analytics solutions.
  • Design and deliver executive dashboards, reports, and visual analytics in Power BI that drive strategic and operational decision-making.
  • Collaborate with marketing, DTC, Digital Product, Commercial teams, and clean room partners to enable privacy-safe data sharing, audience insights, attribution, and customer analytics.
  • Lead data integration and modeling efforts across customer, digital, retail media, advertising, and enterprise platforms to create a unified view of business performance.
  • Champion engineering excellence through architecture leadership, best practices, mentoring, innovation, and continuous improvement of the modern data platform.
  • Establish and co-lead the Unilever Prestige Data Governance Council with brand technology leaders to establish data governance and quality frameworks.
  • Partner with Security, Privacy, and Legal teams to ensure compliance with data privacy, access controls, retention, and regulatory requirements.

Qualifications

  • 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related fields.
  • Deep expertise with Snowflake architecture, performance optimization, security, and data modeling.
  • Proven experience building enterprise data warehouses and dimensional models.
  • Strong experience designing and implementing semantic models and business metric layers.
  • Hands-on expertise with Power BI, including data modeling, dashboard development, and enterprise reporting.
  • Experience building and maintaining ELT/ETL pipelines using FiveTran and similar data integration platforms.
  • Advanced SQL skills and strong understanding of data transformation frameworks.
  • Experience working with cloud-based data ecosystems.
  • Strong understanding of data governance, privacy, security, and compliance principles.
  • Experience partnering with business stakeholders and translating requirements into scalable data solutions.

What Success Looks Like - In your first year, you will:

  • Elevate Tatcha's Snowflake environment into a trusted, scalable enterprise data platform.
  • Establish standardized semantic models and KPI definitions across the organization.
  • Deliver executive reporting experiences that drive strategic decisions.
  • Expand privacy-safe data collaboration capabilities through clean room integrations.
  • Improve data accessibility, quality, reliability, and self-service adoption.
  • Create a foundation for advanced analytics, AI, and future data product innovation.

Why Join Tatcha?

At Tatcha, you will have the opportunity to work on meaningful challenges that directly influence customer experiences and business outcomes. You will join a team that values curiosity, craftsmanship, collaboration, and continuous learning while helping shape the future of data and analytics for one of the most respected brands in luxury skincare. If you're passionate about building trusted data products, modern analytics ecosystems, and scalable platforms that empower decision-making, we'd love to hear from you.

The Details

The expected base salary range for this position is $150,000 to $160,000. The exact base pay is determined by various factors including experience, skills, education, geographic location, and budget.

This position is also eligible for participation in the company discretionary bonus plan based on personal performance and company results. Tatcha offers a competitive benefits package to eligible employees, including medical insurance, dental insurance, vision insurance, life insurance, accident insurance, critical illness insurance, disability insurance, retirement savings plans and company match, paid family leave, education-related programs, paid time off, and paid holidays. #LI-BH1