Data Analyst

Role overview

Methodic is hiring a Data Analyst in San Francisco, CA for an on-site full-time role. In this position, you will convert raw data into clear insights that support decisions for both the company and its clients. You will work across product, operations, marketing, and business datasets, helping the team spot trends, evaluate performance, and uncover opportunities to improve growth and efficiency.

What you’ll do

• Set up, define, and monitor key performance indicators for the product and the business, such as active accounts, transaction volume per client, uptime, acquisition cost, and retention.
• Create and update dashboards and recurring reports that give stakeholders clear visibility into important metrics.
• Dig into data to answer specific business and product questions through exploratory analysis.
• Review customer usage and feedback patterns to identify friction points and areas where customers may be struggling.
• Partner with the marketing team to measure campaign performance, channel effectiveness, and lead-to-customer conversion behavior.
• Deliver analytical support for strategic initiatives, including market sizing and impact assessment for new opportunities.
• Work closely with engineering to make sure the right events are tracked and the data remains accurate, consistent, and reliable.

What we’re looking for

• At least 3 years of experience in data analytics, business intelligence, or a similar function.
• Strong SQL skills for querying and extracting data from databases.
• Working knowledge of Python or R for analysis is an advantage.
• Hands-on experience with visualization or BI platforms such as Tableau, Power BI, Looker, or similar dashboard-building tools.
• Solid statistical and analytical judgment, with the ability to interpret trends and avoid common analytical errors.
• Exposure to SaaS or product analytics concepts such as cohorts, funnels, and churn is useful.
• Strong communication skills for presenting findings in writing and verbally to different audiences.
• A naturally inquisitive, problem-solving mindset with the initiative to explore data proactively.

Application details

Applicants are asked to share basic contact information, optional LinkedIn or portfolio details, notes, and an optional PDF resume. A reference/contact field is shown as a hidden field and should be left blank. The hiring team will follow up by email with the next steps.