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Senior Business Intelligence Manager

Job in Germany, Pike County, Ohio, USA
Listing for: enmacc
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Business Intelligence Manager (m/d/f)
Location: Germany

Senior Business Intelligence Manager (m/d/f)

Join us in applying for the Senior Business Intelligence Manager role acc 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We’re reshaping how energy is traded by bringing speed, transparency, and simplicity to a market that’s long relied on outdated processes.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, you gain access to more opportunities, better liquidity, and the tools to accelerate the energy transition.

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.

Mission

Join us in providing OTC access to the European energy trading market! As a Senior Business Intelligence Manager, you will leave your mark in re‑defining how energy traders work. This is a hands‑on, individual contributor role focused on defining and executing our data strategy.

Your Responsibilities /

What you’ll do:
  • 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.
  • 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.
  • 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 Big Query 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,…
Position Requirements
10+ Years work experience
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