Go-to-Market Data Analyst

Enable, triage, prioritize, and answer questions from the Stripe sales and marketing teams via Slack and Jira. This includes:

Automate reporting and visualization of core business metrics in Hubble Dashboards (inhouse tool built on Presto, SQL, React JS and Plotly).
Ad-hoc Analysis in Tableau.
Provide operational support for Analytics & Insights initiatives.
Ensure quality of data and accuracy of downstream reporting through precise attention to detail.
Create analyses that tell a “story” focused on insights, not just data.
Create sales enablement materials.

6 Years of experience in Data Analytics, with a focus on analyzing large data sets to solve problems and building user-friendly dashboards.
Experience wrangling imperfect data and writing efficient SQL.
Some coding experience Python, React Javascript, Plotly (charts).
Beginner to intermediate knowledge in creative data visualization in Tableau.
Experience creating dashboard documentation for end users.
Communicate clearly, proactively, and concisely with stakeholders.
Ability to work independently in a fast-paced and frequently changing environment.

Focused on building and maintaining dashboards, preparing WBR/MBR/QBR data packs, weekly deal lists, and managing BAU ticketed requests

Build, maintain, and QA dashboards (xBR dashboard, SA dash, Performance). Dashboards run via Hubble and front-end JS (analyst runs queries and config; devs/engineers own underlying code).
Refresh Hubble dashboards weekly (refreshes run Mondays) and troubleshoot discrepancies.
Weekly Business Reviews / Decks

Prepare WBR decks and notes: aggregate data, validate, create Google Slides, take refreshed screenshots, craft short written commentary.

Maintain WBR notes and weekly deal lists (rolling current/prior week spreadsheets).
Regular Packs & Quarterly Reporting

Create MBR and QBR data packs and support quarter-end reporting.

Headcount checks and backfills: run checks (e.g., HC counts/IDs) and correct sheet formulas for manual QA.

Triaged via Slack and Asana: ~3–5 tickets/week, typically L–XL (multi-day).
Handle ad-hoc requests from sales, F&S, and other stakeholders; create tickets and follow Asana flow.

Daily SQL usage via Hubble to fetch and validate data. High technical proficiency expected for senior; junior may rely on LLMs to generate/modify queries.
Analysts do not write back to databases; read-only data access only.

High amount of manual spreadsheet work, formula updates, chart refreshes, screenshots, and manual QA.

Train contractors on WBR note processes and business context. Coordinate with data engineers & program managers for larger projects and access issues.
Advanced SQL skills: write, adapt, and troubleshoot queries in Hubble; understand joins, aggregations, windows
Advanced Google Sheets: SUMIFS, VLOOKUP/XLOOKUP, INDEX/MATCH, array formulas, pivot tables, conditional formatting.
Dashboard experience: building/maintaining commercial dashboards; troubleshoot data-display mismatches.
Strong written communication: distill data into concise commentary for WBR slides and stakeholder updates.
GTM / sales ops knowledge: deal lifecycle, pipeline concepts, forecasting basics.
Operational discipline: triaging and tracking tickets in Asana; clear handoffs via Slack/email.
Comfortable working under deadlines and ambiguity; methodical QA mindset.

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