Location Berlin
Country Germany
Category Professional Services
Type Full Time
Experience NA
Language English

Sustainability that means business

What we do

Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.

Who we are

Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, USA, Canada and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialise in delivering technology solutions to facilitate a carbon neutral future.

Our people

AMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and 'start-up' mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.


We are seeking a skilled Junior or Senior Power BI Analyst to join our Analytics team, with a particular focus on Environmental Health and Safety (EHS) and Environmental, Social, and Governance (ESG) metrics.

The ideal candidate will be responsible for developing dashboards that help our customers leverage data-driven insights for optimisation and decision-making in EHS and ESG areas. You will collaborate closely with customer stakeholders to understand their reporting needs and deliver actionable insights through data visualisation.

 

Key Responsibilities

  • Managing projects with customers.

  • Design, develop, and maintain interactive dashboards and reports using Apache Superset or Power BI focused on EHS and ESG performance metrics.

  • Collaborate with the customer ́s EHS and ESG teams to gather requirements and understand specific data needs for compliance, reporting, and sustainability initiatives.

  • Work with our ESG & EHS data models to create dashboards customised for our customers in Apache Superset or Power BI.

  • Ensure data accuracy and consistency across all reports and dashboards, particularly in relation to EHS compliance and ESG disclosures.

  • Train and support end-users in the use of our Analytics solutions

  • Stay updated on industry trends and advancements in business intelligence technologies, especially those related to EHS and ESG reporting.

Qualifications

  • Bachelor's degree in Environmental Science, Computer Science, Data Science, Business Analytics, Business Administration or a related educational training or experience from another context.

  • Junior: first experience in an internship or as a working student in a data analysis or reporting role in customer contact with specific experience using Power BI.

OR

  • Senior: 2+  years of experience in a data analysis or reporting role with customer interaction including project management. Specific experience using in Apache Superset and Power BI are a plus.

  • Experience in data modelling, DAX language and Power Query.

  • Strong analytical skills and experience in data analysis and visualisation.

  • Junior: Basic understanding of SQL for data extraction and manipulation.

OR

  • Senior:  Proficient understanding of SQL for data extraction and manipulation.

  • Familiarity with databases (SQL Server, Maria DB etc.) and data warehousing concepts.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication skills with the ability to convey complex data insights to non-technical stakeholders.

Desirable Qualifications

  • Knowledge of Environmental Health and Safety (EHS) and Environmental, Social, and Governance (ESG) metrics and related reporting requirements. (e.g., GRI, SASB, TCFD).

  • Knowledge of statistical analysis and data mining techniques.

  • Experience with other BI tools (Apache Superset, Sisense, etc.)