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HomeCompaniesThunkableSr. Data Analyst

Sr. Data Analyst

Thunkable · San Francisco, CA · Hybrid · Active · $90,000–$130,000 / year · Lever

Job facts

FieldValue
CompanyThunkable
TitleSr. Data Analyst
Normalized title-
Department / teamData
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$90,000–$130,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-10-31 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Thunkable.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyThunkable
Sourceb93579e4-5a32-4352-b06d-571dead12b19
ATS providerLever

Description

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to generate insights but also help connect and organize data from multiple sources—such as product analytics, marketing platforms, payments, and user systems—into a more complete and reliable view. We’re looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product. Key Responsibilities - Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces. - Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity. - Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem. - Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights. - Develop and monitor key metrics, including setting up automated dashboards and recurring reports. - Lead data initiatives and experimentation, defining measurement approaches and evaluating success. Required Qualifications - BA/BS degree or above in a related field or equivalent experience required. - 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects. - Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations. - Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy. - Experience in data queries and statistical programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.) - You have strong analytical and problem-solving skills, with a keen attention to detail. - You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences. - You are a self-starter who thrives in a start-up environment and has a strong follow-through. Preferred Qualifications - Experience with improving data pipelines, data storage and analytical frameworks. - Event tracking (eg. Javascript, Google tag manager) - Javascript and React.

Full job record

Job ID4ac54098266198efee5b44d702896ce09028b981
Org ID6fa9524d-1213-4118-9ed6-bb72ac74cf84
Source IDb93579e4-5a32-4352-b06d-571dead12b19
Board IDb93579e4-5a32-4352-b06d-571dead12b19
Providerlever
Provider Job Key95df5914-df25-4be2-9f30-078c9fdee8fc
TitleSr. Data Analyst
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
Department
TeamData
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary RawUSD 90000-130000 per-year-salary
Salary Min90,000
Salary Max130,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/thunkable/95df5914-df25-4be2-9f30-078c9fdee8fc
Apply URLhttps://jobs.lever.co/thunkable/95df5914-df25-4be2-9f30-078c9fdee8fc/apply
First Seen At2026-05-29 07:00:36Z
Last Seen At2026-06-19 07:56:59Z
Last Checked At2026-06-19 07:56:59Z
Last Changed At2026-05-29 07:00:36Z
Inactive At
Source Posted At2025-10-31 23:50:44Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=thunkable/date=2026-06-19/2026-06-19T07-56-58-895Z-ad842e19fed0468da7972d9f6b1996978ca4ff412c5bd4b121e8bbb2bf128ebc.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "country": "US",
  "createdAt": 1761954644797,
  "updatedAt": null,
  "categories": {
    "team": "Data",
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}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/4ac54098266198efee5b44d702896ce09028b981?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/6fa9524d-1213-4118-9ed6-bb72ac74cf84JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/b93579e4-5a32-4352-b06d-571dead12b19JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/4ac54098266198efee5b44d702896ce09028b981/eventsJSON