bunch

(Senior) Analytics Engineer (f/m/d)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

bunch is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real responsibility, and working with a thoughtful, ambitious team, this role might be for you.

Your Role
As a (Senior) Analytics Engineer at bunch, you'll own our data stack end to end, from ingestion to the semantic layer. It feeds our business intelligence and product analytics today, with embedded analytics likely next.
You will:
Own data modeling and the semantic layer everything else is built on

Move every remaining pipeline onto dlt, in Python you control

Make the stack reliable by default: scheduling, monitoring, infrastructure as code

Run our self-hosted Lightdash, down to the deployment

Make conversational analytics work, so people can ask in plain language and trust the answer

About you
Experience: 4+ years in analytics or data engineering, ideally somewhere you owned the whole stack

Modeling: you have real opinions on dimensional modeling, layering and contracts

dbt: you know dbt past writing sql models, so materializations, incremental strategies, macros, CI, and where it breaks

Python: production-quality, with a proper understanding of ingestion (APIs, pagination, incremental loads, schema drift). dlt experience is a bonus

Infrastructure: comfortable owning deployed infra, scheduling with Airflow, Dagster or similar is a plus

Pragmatic: you start from what the business needs and you know when good enough is good enough

Our tech stack
Data warehouse: BigQuery

Transformation: dbt

Data ingestion: dlt

BI / semantic layer: Lightdash

Event tracking: PostHog

Workplace & Benefits
Customizable benefits package (wellbeing, sport, mobility, food, and more)

28 days of vacation, plus 2 company days and local public holidays

Remote-flexible hybrid (3 days/week in office)

Up to 4 remote calendar weeks a year

A great tech and work setup

Work with a diverse team of 120+ bunchies from 40+ countries, with leaders who are best-in-class in their domains

Hiring process
Screening Interview (30 min) with our People Team to get to know each other

Technical Interview (60 min): a live SQL exercise and a design discussion

Deep Dive (45 min): your track record and how you work

Final Round (30 min): culture, growth, and strategic fit

Questions? Reach out to ----- style="min-height:1.5em">
Curious to learn more?
Get a feel for who we are, how we work, and what we're building:
About bunch: our mission, product, and journey so far

Case Studies: about those who already build on bunch

Gathering insights: our latest bunch of blog posts

Glossary: explore commonly used private market terms

About bunch
bunch is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management.
We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026. We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that actually matters to the people using it.

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At bunch, we're committed to an inclusive environment where diversity is valued and celebrated. We provide equal opportunities to all qualified applicants.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis MySQL Operations Python Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the (Senior) Analytics Engineer (f/m/d) role.
  2. How would you approach your first 30 days at bunch?
  3. Which of Data Analysis, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the (Senior) Analytics Engineer (f/m/d) role because I can bring practical experience in Data Analysis, MySQL and Operations, learn the team quickly, and contribute to the outcomes bunch needs from this hire.

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