Senior Analytics Engineer (f/m/d)

RxREVU, Inc.; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Stock options

Hybrid work

Team events

Learning platforms

Zusammenfassung

voize is building AI companions to free frontline teams from tedious workflows and empower them to focus on people. As Senior Analytics Engineer, you own voize's data from warehouse to dashboards, ensuring reliability, safety and scalability of the data and AI layers.

You will shape metrics, models, and self-serve analytics used across Finance, RevOps, Product and CS. You will work with Redshift, dbt, Fivetran and Lightdash, partner with teams, and set data standards as we scale.

Qualifikationen

• 4+ years owning analytics from the warehouse onwards (modelling, reporting, BI) in production, ideally as an early or founding data hire.
• Deep SQL with dbt (layered models, tests, CI, semantic/metric layers).
• Experience with a cloud data warehouse in production (Redshift ideal; Snowflake or BigQuery acceptable) and a BI tool used by teams.
• Business-facing autonomy: partner with non-technical stakeholders, define and defend metrics, ship independently.
• Documentation, testing, and monitoring as a default habit, delivering trustworthy models.
• Experience leveraging AI to automate and build workflows.

Aufgaben

• Model company data in dbt on Redshift: layered, tested, documented models.
• Ship and run the company KPI dashboard in Lightdash and enable self-serve analytics for every team.
• Own metric definitions and ensure numbers are defensible across the organisation.
• Maintain the ingestion layer day-to-day (Fivetran connectors, ETL jobs) with engineering.
• Turn ambiguous business questions from Finance, RevOps, Product, and CS into trusted self-serve answers.
• Define data architecture standards as the function scales with new hires.

Kenntnisse

Analytics ownership

Deep SQL

dbt

Redshift

Lightdash

BI tooling

Autonomy

AI workflows

Tools

Fivetran

dbt

Lightdash

Redshift

Jobbeschreibung

Why voize? Because we're more than just a job!

At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.

Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact.

Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.

As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we're looking for you to join us on this mission!

Your Mission: One source of truth for a company that runs on data

As Senior Analytics Engineer, you own voize's company data from the warehouse to the dashboards. You'll be part of our Data & AI function - ensuring the data voize and our AI layer runs on are reliable, safe & scalable. The modern stack (Redshift, dbt, Fivetran, Lightdash) is already live: you make it rock-solid and turn it into the single source of truth the whole company runs on, from ARR to product adoption. As our first dedicated analytics hire, you partner directly with Finance, RevOps, Product, and Customer Success, turning their questions into numbers everyone trusts.

Your Daily Business - No two days are alike

• Model company data in dbt on Redshift: layered, tested, documented models built to outlive you

• Ship and run the company KPI dashboard in Lightdash, plus self-serve analytics for every team

• Own metric modeling and propose the definitions the whole company runs on. Sign-off sits with data leadership, and you make every number defensible

• Keep the ingestion layer running day to day (Fivetran connectors, existing ETL jobs), in close coordination with engineering

• Act as a partner to our teams and turn ambiguous business questions from Finance, RevOps, Product, and CS into trusted, self-serve answers

• Shape the data foundation before the function scales. As a Head of (Internal) Data & AI and a further Engineers join, you set the standards they inherit and go deeper on the architecture the whole company trusts.

Your Skillset - What you bring to the table

• 4+ years owning analytics from the warehouse onwards (modelling, reporting, BI) in production, ideally as an early or founding data hire

• Deep SQL above all, plus strong dbt (layered models, tests, CI, semantic / metric layers)

• A cloud data warehouse in production (Redshift ideal; Snowflake or BigQuery with willingness to switch) and a BI tool people actually use

• Business-facing autonomy: you partner with non-technical stakeholders, propose and defend metric definitions, and ship without waiting for a data team to form around you

• You document, test, and monitor by default, and finishing the 10% that makes a model trustworthy

• You know how to leverage AI, you have a track record of automating & building workflows with AI.

Growing together - what you can expect at voize

• We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people

• Become a co-creator of our success with stock options

• We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany

• Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses

• You decide when you work best, that means flexible working hours and a good hybrid set-up.

We look forward to your application and can't wait to meet you - no matter who you are or what background you have!