Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Analytics Engineer role.
Rezi rewrites your resume against Stream's job description. Free.
Tailor your resume to this Analytics Engineer role.
Rezi rewrites your resume against Stream's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Analytics Engineer posting at Stream — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Analytics Engineer posting at Stream — free, in seconds.
About the Role
You will be the second data person dedicated to the US business, working alongside our Lead Data Engineer in the US and as part of the central Data team. This is an analytics engineering role where you will model data in dbt, build dashboards and data apps, and collaborate with business stakeholders to translate questions into analyses. You will own a business area end to end.
Responsibilities
- Partner with US GTM and implementation teams on the data side of a new client-facing program, defining data requirements, extract processes, and running repeatable analyses to demonstrate client impact.
- Build adoption, engagement, and cohort analysis on top of the per-product usage layer to provide validated statistics for the commercial team.
- Execute state regulatory reports and examiner follow-ups, and extend financial integrity checks across US salary and settlement data.
- Build and maintain US dashboards in StreamBI, replacing legacy reporting tools.
- Triage dbt and data quality alerts, answer questions in #ask-data, review PRs across dbt and StreamBI repos, and maintain documentation.
Requirements
- Two to four years in analytics engineering or a data analyst role with model and output ownership.
- Strong SQL skills, including the ability to reconcile numbers and prove they tie out.
- Hands-on dbt experience and the ability to read and extend a dimensional model without breaking its grain.
- Sufficient Python experience to build data apps in Streamlit, or a proven ability to quickly learn similar frameworks.
- Experience working directly with commercial or operational stakeholders to redefine ambiguous requests and deliver impactful analyses.
- Comfortable using agentic coding tools like Claude Code daily.
- Ability to operate independently within your timezone, define analyses, and push back on stakeholders when data does not support an ask.
- Experience producing outputs for regulators, auditors, or clients where accuracy is critical (nice to have).
- Exposure to payroll, HR tech, payments, or fintech data (nice to have).
Skills
- SQL
- Snowflake
- dbt
- Python
- Streamlit
- GitHub
- Claude Code
Location
- New York
Work Type
- Hybrid
- 3 days onsite
Experience Level
- 2-4 years
Salary/Compensations
- $80,000 - $130,000
Benefits
- Share Options
- 15 Days vacation in addition to federal holidays
- Flexible time off allowances for ad-hoc childcare/family/caring needs
- 12 weeks paid Maternity Leave
- 2 weeks paid Paternity Leave (for employees with over 12 months service)
- Health, dental and vision benefits (some paid in full for employee)
- 401K program
- Access to Stream
About the Company
- Stream is on a mission to bring financial wellbeing to all workers.
- We partner with well-known employers to give their teams access to fairer financial services.
- Over 3 million people use our app to track shifts and earnings, start savings accounts, use budgeting tools, access financial education, and choose when they get paid.
- Stream is VC-backed, growing at scale-up pace, and has a social conscience with founding investors from leading financial charities and impact funds.
- We are a team of over 300 passionate, ambitious people across the UK, Europe, and US, building a category-leading FinTech product.
Equal Opportunity
- At Stream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Stream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.