Go-to-Market Data Analyst

Services Description

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.

Qualifications

• 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

Dashboards & Reporting

• 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.

Ticketing & BAU Operations

• 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.

SQL & Data Work

• 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.

Manual Process Work

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

Coordination & Training

• 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.