Senior Data Analyst

USA · Remotefull timeRemote

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senior

$165k–$215k

H1B: no

Permitflow Senior Data Analyst at PermitFlow partners with Customer Success and Operations teams to deliver analytics that shape leadership decisions. This role builds reports, metrics, dashboards, and collaborates with Analytics Engineers to enable self-serve analytics.

Responsibilities

PermitFlow is looking for a Senior Data Analyst to be the dedicated analytics partner for our Customer Success and Operations teams - the teams that deliver permits to our customers every day. Your work will shape how leadership runs and scales these orgs. You'll partner with Operations Leaders, CSMs, and Analytics Engineers to turn open-ended questions into the reports, metrics, and dashboards the company runs on.
Own analytics for Customer Success and Operations. Collaborate closely with senior leaders to understand their roadmaps, identify areas of opportunity, and help define and measure success. Your analyses will directly shape how we drive retention, speed up permit turnaround, and scale these teams.
Deliver tangible impact. Triage incoming requests for new data, charts, and metrics, push back on low-value asks, and focus analytics effort where it moves the business most.
Build to answer the next hundred questions. Turn recurring requests into dashboards that power self-serve analytics. Work with Analytics Engineering to write dbt models when the data isn't easily available, and own the documentation to make it easy to find in the future.
Be the translator. Take open-ended requests and turn them into PRDs, leading the way through ambiguous, high-impact problems.

Qualification

3–5+ years in analyticsStrong SQLWorking knowledge of dbtHands-on use of LLM tools (ClaudeBonus

Required

3–5+ years in analytics, business intelligence, or a similar role where you used data to improve decision-making.
Strong SQL: CTEs, window functions, and the patience to work through a wide table you didn't build.
Experience modeling in a BI tool (Omni preferred), as well as a data warehouse like BigQuery or Snowflake.
Working knowledge of dbt: you can write a model, add tests, open a pull request, and have an eye for efficiency.
Hands-on use of LLM tools (Claude, Cursor, or similar) to write SQL faster, draft dbt models, and automate reporting.
The instinct to ask what decision a request is for before writing any SQL.
Bonus: Experience working with Salesforce data, supporting Customer Success or Operations teams, and/or modernizing legacy reporting to meet evolving business needs.