Senior Business Intelligence Lead (all genders)
Reev
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This role on the market
728 open intelligence roles across 149 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (48), Chennai (36).
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What intelligence roles keep asking for: Python (27%), SQL (26%), Stakeholder management (18%), AWS (18%), Tableau (17%), Data modelling (15%), Generative AI (13%), Redshift (12%) — counted across their open postings here.
AWS jobs · Customer success jobs · ETL jobs · SQL jobs
Counted across 14 company job boards, updated as roles open and close.
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Interviews for intelligence roles keep coming back to Python, SQL, Stakeholder management, AWS. Practise those questions before you sit with Reev.
Questions you are likely to be asked
- Why do you want to join Reev?
- What is your experience with SQL? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Senior Business Intelligence Lead (all genders) at Reev interview free →Your Mission EV charging is evolving from a niche technology into everyday infrastructure. As reev grows, teams increasingly need reliable, consistently defined metrics. Today, different dashboards, reporting dates, filters, and assumptions can produce different answers to the same business question. This role addresses the problem - not by building more dashboards, but by creating a shared and trustworthy data foundation. The goal is to establish clear definitions and consistent metrics so that teams and leadership can make informed decisions based on the same numbers. Someone who understands that unclear definitions, rather than a lack of data, are often the real problem can make a significant impact in this role. You own the certified layer, the single, agreed upon version of every core metric that reev runs on. You connect the definition, the data model, and the delivery. And when two numbers disagree, you are the person who says which one to trust. What you will do Define core metrics with Finance, Product, Sales, Marketing, Customer Success, Engineering, and Platform. Agree on definitions , data contracts, and ownership forcore metrics with the teams that own them. Maintain and verify the certified data layer , built in ETL tooland surfaced in Metabase, so teams can build their own dashboards on top of it. Use SQL to validate data , investigate inconsistencies, and trace numbers back to their sources. Work with Platform team to identify potential improvements in data flows, pipelines, and transformations, advise on next steps, and help prioritize next steps during planning. Help stakeholders decide which number to trust when reports disagree. Improve data literacy through practical guidance, workshops, and clear documentation. Use AI-assisted tools for analysis, documentation, automation, and workflows. Check the results carefully. What this role is not You will not be the central owner of every dashboard request. Teams remain responsible for their own dashboards, analyses, and data models built on their data contracts. This is also not a classic infrastructure or people-management role. What you bring along Must-have Senior experience in BI , analytics, or data. Scale-up experience is helpful. Strong SQL skills .You can read and write SQL ,validate data, and trace where a number comes from. Experience defining KPIs with Finance and other business owners. Experience with data models , data quality , or data governance. A good understanding of data flows, pipelines, and transformations. Confidence working with senior stakeholders and challenging unclear or incorrect numbers. A hands-on , business-minded approach . You connect business questions with practical data solutions. Experience with automation , AI Agents , or AI-supported workflows . Fluent written and spoken English, German is a plus. Nice to have Experience with Metabase , dbt , AWS Glue , Spark , Airbyte , or comparable tools. Experience with workshops, enablement, or data literacy programmes. Experience in B2B SaaS , EV charging , energy , mobility, or a related field. You do not need every tool on the list. We care most about strong SQL , sound data thinking , and the ability to bring people to one shared definition . What you can expect from us How we work Clear goals, real ownership, and little politics. We move quickly, decide together, and hold each other accountable. Where you will work Our Munich office at Stiglmaierplatz is an important place for collaboration. For this role, we expect at least three days on-site each week. What you get 28 vacation days - Plus additional days off between Christmas and New Year. Good work starts with proper rest. Mental health , taken seriously - Free access to the nilo platform with individual sessions from psychologists and business coaches. We want you balanced, not just productive. AI tools - no limits - Every person and every team at reev uses the AI tools they choose, without budget constraints. We believe in working with the best tools available, and we don't slow that down. Move sustainably - JobRad , subsidised public transport , or EGYM Wellpass . You choose what fits your life. €1,000 learning budget -Yours to use. Plus internal development opportunities. Because when you grow, we all grow. Your future, sorted - Digital, commission-free company pension (bAV) with DYNO . Transparent, with a personal dashboard. No fineprint. Find more English Speaking Jobs in Germany on Arbeitnow
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Listed on arbeitnow · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Reev, not by us.