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Senior Business Intelligence Manager

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Munich, Bayern, Deutschland enmacc Vollzeit

enmacc is Europe's largest over-the-counter trading market venue for energy and environmental commodities. We're reshaping how energy is traded by bringing speed, transparency, and simplicity to a market that's long relied on outdated processes.

Our platform enables over 600 companies and 2,200 professionals to trade power, gas, Guarantees of Origin, emissions allowances, and weather derivatives, quickly, securely, and efficiently. It's used by energy suppliers, trading houses, industrial companies, and municipal utilities, creating a vibrant network of market participants. By joining enmacc, they gain access to more opportunities, better liquidity, and the tools to accelerate the energy transition. Something we're deeply committed to. 

Founded in 2016, enmacc is a fast-growing scale-up with a team of 100+ people spread across Europe. We're passionate about energy, technology, and building something that makes a real impact. If you're excited by smart people, meaningful work, and a dynamic environment, we invite you to submit your application below.

Your Mission:

Join us in providing OTC access to the European energy trading market

Join us as a Senior Business Intelligence Manager and leave your mark in re-defining how energy traders work You will have a real impact while working together with internal stakeholders across the organization to generate data-based insights to steer and develop our business more effectively, assuming responsibility and growing within our quickly scaling start-up.

Your Responsibilities / What you'll do:

The Senior BI Manager will be the driving force behind the transformation of our data platform, shifting the organization from static reporting to predictive, AI-driven decision-making and advanced data insights.

I. Strategic Data & AI Leadership

  • Roll-out Advanced Self-Service: Define and execute strategy for utilizing Gen AI and Agentic BI/LLMs to create conversational/intuitive self-service capabilities across the organization.
  • Establish the Semantic Layer: Take ownership of modeling and implementing a robust semantic data layer (e.g., using technologies like dbt or similar) to ensure consistent definition, calculation, and quality of all business metrics and KPIs.
  • Drive Data Governance: Establish and enforce comprehensive data governance standards, policies, and processes across departments to ensure data quality, compliance, security, and integrity, treating data as a critical company asset.
  • Strategic Sparring Partner: Act as a strategic partner to executive leadership and department heads to define, standardize, and implement effective, measurable KPIs that align with business strategy. Guide drill-downs into metrics to offer a data-based approach to solutions.

II. Team Leadership & Cultural Enablement

  • Elevate Team Capability: Provide hands-on guidance, coaching, and mentorship to junior team members, rapidly upskilling them in modern Data Science, ML operationalization, and advanced analytics techniques.
  • Foster a Data Culture: Actively foster and promote a robust data-driven culture and data self-service across the organization, providing the necessary training, tools, and documentation for departmental users to access and interpret standardized data independently.
  • Resource Management: Drive day-to-day operations of the BI/Data Science team (currently 3 headcounts); align OKRs, manage workloads, and ensure timely, high-quality execution of strategic data projects.

III. Technical Execution & Data Science

  • Advanced Analytics & AI/ML: Personally contribute to and oversee the development of advanced Data Science projects, including training, deploying, and maintaining regression, time-series forecasting, and clustering models that deliver predictive and prescriptive insights.
  • Agentic BI Implementation: Lead the evaluation, piloting, and training of Agentic BI/LLMs on our proprietary data to enable non-technical users to query and analyze data using natural language.
Your profile / What you'll need:
  • 5+ years work experience in business intelligence, ideally in a start-up/tech/software environment
  • Excellent knowledge of data visualization tools like Tableau, Power BI etc
  • Experience with conversational/agentic BI tools (specific experience with Thoughtspot a plus)
  • Good knowledge of SQL and relational databases; experience with AWS and BigQuery a plus
  • Good knowledge of Excel/Google Sheets
  • Ideally good knowledge of data analysis with Python/R and experience working with data scientists
  • Working knowledge of data pipelines
  • Developed people skills with experience in stakeholder management
  • Business acumen - you can bridge between BI and other departments 
  • Strong team player with low-ego personality 
  • Strives both at conceptual work and detailed implementation
  • Graduate in business informatics, business, economics, computer science or related quantitative field
Our Offer / What You'll Get
  • Entrepreneurial company culture with flat hierarchies
  • Competitive Remuneration Scheme
  • Learning & Development: a Personal Development Plan along with especially allocated budget and 5 days off to further your personal & professional development
  • Being part of our supportive, persistent, curious and fun culture
  • Joining a grown-up start-up in the SaaS/energy field
  • Modern office spaces in the heart of Munich
  • Hybrid work set-up, allowing you to combine working in the office with working from home
  • State of the art Apple hardware and software
  • Diverse, international team that celebrates differences
  • Free drinks, fruit, and coffee, special fitness offers and discount offers
  • German classes
  • Relocation assistance for international candidates

Got energy? Join us