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.