ZipRecruiter

Log In

1

Metabase Jobs in California (NOW HIRING)

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$145K - $195K/yr

Experience with data exploration tools like Grafana, Metabase, PowerBI or similar * Good understanding of version control, testing, continuous integration, build, deployment and monitoring * Good ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Development of data analytics and dashboard systems (Metabase, R Shiny, etc.) for use by staff for project analysis and report writing * Integration of ArcGIS Pro with a field data collection ...

WorkWhile

GTM Engineer

San Francisco, CA · On-site

Build advanced dashboards across Salesforce, Metabase, and BigQuery to provide real-time visibility into quota attainment, SDR pacing, account penetration, and win/loss diagnostics. * Data Hygiene ...

workwhile.ai

GTM Engineer

San Francisco, CA · On-site

Build advanced dashboards across Salesforce, Metabase, and BigQuery to provide real-time visibility into quota attainment, SDR pacing, account penetration, and win/loss diagnostics. * Data Hygiene ...

previous page

Showing results 41-60

All JobsMetabase JobsMetabase Jobs in California

Metabase information

See California salary details

$28

$56

$78

How much do metabase jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for metabase in California is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $62.88 per hour, depending on experience, location, and employer.

What is a Metabase?

A Metabase job typically involves working with Metabase, an open-source business intelligence (BI) tool that allows users to visualize and analyze data. Roles may include setting up dashboards, writing SQL queries, managing integrations, and helping teams derive insights from data. Common job titles related to Metabase include Data Analyst, BI Developer, and Data Engineer. Employers seek candidates with experience in data visualization, databases, and querying languages like SQL.

What are the key skills and qualifications needed to thrive in the Metabase position?

To thrive as a Metabase Developer or Analyst, you need a strong understanding of data analysis, SQL, and business intelligence concepts, often backed by a degree in computer science, information systems, or a related field. Experience with the Metabase BI platform, data visualization tools, and knowledge of database systems like PostgreSQL or MySQL are typically required. Attention to detail, problem-solving abilities, and effective communication skills help professionals translate business needs into actionable insights. These skills are crucial to ensuring high-quality analytics, clear reporting, and meaningful collaboration with stakeholders to drive data-informed business decisions.

What are the most common challenges faced by professionals working with Metabase?

One of the most common challenges for Metabase professionals is integrating and maintaining connections with various data sources, ensuring both data quality and system performance. They often need to balance the need for simplified self-service reporting with robust data security and governance policies. Additionally, translating complex business questions into effective queries and visualizations requires a keen understanding of both technical and business domains. Working in this role typically involves collaboration with stakeholders across departments to understand requirements and deliver actionable analytics in a user-friendly format.

What are the most commonly searched types of Metabase jobs in California?

The most popular types of Metabase jobs in California are:

What are popular job titles related to Metabase jobs in California?

For Metabase jobs in California, the most frequently searched job titles are:

What job categories do people searching Metabase jobs in California look for?

The top searched job categories for Metabase jobs in California are:

What cities in California are hiring for Metabase jobs?

Cities in California with the most Metabase job openings:

Metabase jobs near you
Infographic showing various Metabase job openings in California as of September 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.

Data Scientist - Credit & Risk

San Francisco, CA • On-site

Divine Research Inc
See more jobs at Divine Research Incexternal

Full-time

Re-posted 4 days ago

Job description

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. Most lending systems spend a lot to guess who will repay, and yet so many who are creditworthy still can't get a loan.
We built an alternative called Credit. Since December 2024, it has issued over one million unsecured loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached more than 900,000 unique borrowers. Help us take it to the next level.
About the role
We're looking for a data scientist to drive credit risk intelligence across Credit, our leading unsecured lending system. You'll own portfolio monitoring and reporting, research emerging risk trends, and transform borrower behavioral data into actionable guidance that shapes our credit strategy and roadmap.
While our engineering & research teams owns the underlying models, you'll be the person who makes sense of what they're telling us, tracking portfolio health, identifying issues early, and turning insights into clear recommendations for risk strategy and underwriting policy. Over time, this role may expand to drive broader product analytics across our suite of products.
This role is based in San Francisco, California. We work in a hybrid model, with the team in office 3 days per week.
Stack
  • Python
  • SQL
  • Grafana/Prometheus/Metabase
  • Blockchain data and indexing tools (Dune, Shovel)
Key responsibilities
  • Monitor credit risk models, including underwriting, loss forecasting, and fraud detection, and iterate based on observed portfolio performance
  • Design, build, and maintain scalable data pipelines, monitoring infrastructure, and dashboards to track portfolio health, user behavior, and key risk indicators
  • Partner with product, research, and engineering teams to define north star metrics and translate them into measurable, actionable credit and growth strategies
  • Design and analyze A/B tests, quasi-experiments, and causal inference studies to evaluate the impact of product and policy changes
  • Produce portfolio monitoring and investigative analyses, making recommendations based on findings
  • Translate complex quantitative findings into clear, compelling narratives for product, leadership, and cross-functional stakeholders
Requirements
  • 4+ years of experience in decision science, credit risk analytics, or a closely related quantitative role within fintech or consumer lending
  • Deep proficiency in Python and SQL; comfortable owning analyses end-to-end from raw data to recommendation
  • Strong understanding of credit risk modeling concepts, including PD/LGD modeling, scorecard development, reject inference, vintage analysis, and risk segmentation
  • Demonstrated experience monitoring credit risk metrics and portfolio performance, including loss forecasting and underwriting model improvement
  • Proven ability to influence and collaborate with cross-functional teams and senior stakeholders, with a track record of translating analytical findings into accessible, actionable insights
  • Experience designing and evaluating experiments (A/B tests, holdout groups, or causal inference frameworks) in a consumer product context
  • Comfortable with ambiguity and biased toward action; thrives with minimal oversight and brings strong problem-solving skills and sharp attention to detail
Nice to have
  • Experience building or maintaining large-scale data pipelines supporting B2C financial products
  • Familiarity with credit bureau data, cash flow underwriting, or alternative data sources in credit model development
  • Experience working in emerging markets, ideally on financial products serving everyday consumer needs (microfinance, BNPL, digital lending)
  • Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626) and experience with onchain data tooling (Dune, Shovel, Ponder, Goldsky or similar)
  • Exposure to regulatory frameworks relevant to consumer credit (FCRA, ECOA, or equivalent)

Divine Research is an equal opportunity employer.

Apply