Lead BI & Analytics

Context & Mission

Karos is strengthening its Business Intelligence function to support both (1) internal decision-making and performance monitoring and (2) high-value client analytics.

As Lead BI & Analytics, your mission is to drive this culture shift towards more analytics :

• Define and run the BI operating model, own the BI stack and data definitions , and turn data into business insights to feed decision making

• Turn data into client insights and build an offer that could be sold to clients

• Own the analytics layer from source data to dashboards , including data modeling, transformation pipelines, semantic definitions, reporting governance, and self‑service analytics capabilities.

• Drive buy‑in from the organisation : train teams on BI tools and reporting, promote self‑service analytics, and drive adoption of data‑driven decision‑making across the company.

Reporting line: Chief Transformation & Performance Officer (ExCom member)

Manages: BI Analyst (junior/execution profile)

Key stakeholders: this role requires strong cross‑team collaboration, in particular with ExCom members, Product & Tech teams, Clients teams

Key Responsibilities

1) Company performance monitoring at ExCom level and within teams

• Partner with each ExCom member to define and design the KPIs and dashboards needed to track performance on their scope: at ExCom level and for their team

• Bridge with Product & Tech teams to ensure dashboards are powered by clean, consistent, well‑structured data .

• Own or strongly influence choices and set up of tooling : Investigate and leverage all functionalities, as well as IA in order to optimise reporting and facilitate adoptions by the teams

  Current tools are: Metabase for carpooling usage tracking, Hubspot for Revenue tracking, Planhat for Customer Success Management

• Train and support all teams to use dashboards and Metabase effectively , increasing autonomy while maintaining governance.

2) BI data layer and reporting architecture ownership

• Own the BI data layer and reporting architecture : design and maintain data models, transformation pipelines, and semantic definitions (dbt, ETL/ELT processes, data marts, metric definitions) in collaboration with Product & Tech teams, ensuring reportings are scalable, reliable, and trusted.

3) Strategic ad hoc analyses (Company level and for clients)

• Lead or frame high-value ad hoc analyses to inform key strategic decisions (eg. client churn deep dive, usage growth deep dive…)

4) Ad hoc BI requests (internal & for clients)

• Manage the BI Analyst , who’s in charge of delivering ad hoc analyses requested by all teams : provide framing, standards, and quality bar for delivery and prioritise BI requests with them .

• Improve how the BI requests are operated and explore pushing further self‑serve (through IA for example)

• Structure a scalable BI offer for clients with enough perceived value to drive revenue

Success Criteria (first 3–6 months)

• ExCom KPI framework agreed and delivered with clear definitions and trusted dashboards.

• BI requests prioritisation process running smoothly (clear arbitration, predictable delivery).

• BI Analyst managed with improved quality, speed, and consistency of outputs.

• Increased autonomy of teams on Metabase, without losing governance (training + documentation).

• Revenues generated through the BI offer for clients

On the Transformation & Performance team

This team is growing and should in the end be composed of:

• BI team : your role + a BI Analyst (in place)

• IA team : to come

• Transversal Project Management : to come

Must-have

High autonomy, minimum 7 years of experience.

Strong business & strategic acumen: ability to engage with senior stakeholders (ExCom-level) and business teams (non technical teams), understand the underlying business challenges, and translate them into the right KPIs, dashboards, and analytical frameworks.

Experience building BI governance: metric catalog, ownership model, data definitions, documentation standards.

Hybrid business–data profile: able to structure high‑impact analyses and also be technical enough to support BI analyst in execution (BigQuery), collaborate with engineering teams and own BI tools and practices.

Proven experience delivering (and maintaining) dashboards with strong attention to data quality, consistency, and usability.

Hands‑on experience with modern BI data stacks (BigQuery, dbt, ETL/ELT pipelines, data modeling, data warehousing concepts) and ability to define reporting architecture, not only consume data.

Hands‑on experience with Metabase (or similar BI tools), and a track record of training non‑technical users.

Nice-to-have

Experience in SaaS, B2B, or data‑driven service environments, with both internal and client-facing analytics.