Data Analyst

Would you like to be involved in bringing innovative products to market?

Do you want to be a part of a successful team?

Collaborate with others to build the best solutions for our business.

Our Industrial & Energy Technology Business Segment provides industry‑leading products and services that optimize the production and processing of energy. We help a diverse range of customers across the value chain to reduce operating costs and improve productivity. Working on large‑scale projects with cutting‑edge technology we constantly improve and innovate.

Responsibilities

• Further development of existing automated Python pipelines that consolidate data from multiple sources to enhance traceability between spare parts transactions and machine serial numbers.
• Automation of company algorithms to track installed base opportunities expected yearly volume.
• Design, development and maintenance of Power BI dashboards used by senior leadership to steer sales strategy.

Qualifications

• Bachelor’s degree from an accredited university or college (computer science preferred).
• Strong competences in Python, advanced Excel and Microsoft Power BI.
• Strong oral and written communication skills.
• Strong interpersonal and leadership skills with the ability to influence others and lead small teams.
• Lead initiatives of moderate scope and impact.
• Ability to coordinate several projects simultaneously.
• Effective problem identification and solution skills. Proven analytical and organizational ability.

Key Skills

• Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics.

Benefits

• Contemporary work‑life balance policies and wellbeing activities.
• Comprehensive private medical care options.
• Safety net of life insurance and disability programs.
• Tailored financial programs.
• Additional elected or voluntary benefits.

Working flexible hours – flexing the times when you work during the day to help you fit everything in and work when you are the most productive.