Engineering Data Analytics

Functional

Analytics

Performance

Advertisement

Consent Notices:

Always Active

CookieYes

Duration

1 year

Description

form_session _token

Duration

Session

Description

Maintains form security and prevents CSRF

chatbot_sessi on_id

Duration

Session

Description

Maintains chatbot session for users

language_pre

Duration

1 year

Description

Duration

11 years

Description

Tracks form usage anonymously

chatbot_prefe rences

Duration

6 months

Description

Stores previous chatbot interactions

sbjs_current

Duration

6 months

Description

sbjs_session

Duration

Session

Description

Session-based source tracking

sbjs_first

Duration

6 months

Description

sbjs_udata

Duration

6 months

Description

_ga

Duration

2 years

Description

Distinguishes users for site analytics

_gid

Duration

1 day

Description

Tracks user behavior and session duration

_gat

Duration

1 minute

Description

Throttles analytics requests

li_gc

Duration

6 months

Description

UserMatchHi story

Duration

1 month

Description

Helps with LinkedIn retargeting

Duration

2 years

Description

YSC

Duration

Session

Description

Tracks video views on embedded players

VISITOR_INF 01_LIVE

Duration

6 months

Description

Estimates bandwidth and serves ads on embedded videos

1P_JAR, NID, OGPC

Duration

Varies (1 month–2 yrs)

Description

Stores user preferences and tracks usage of embedded map content

Job Post Name: Engineering Data Analytics

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Message/Details

We look out for you!

Are you passionate about data, technology, and driving the energy transition?

We’re looking for a curious and motivated student to support our technical team in analyzing realworld energy data and turning it into actionable insights.

We are a DeepTech startup developing a cutting-edge combination of software and hardware to
optimize energy flows in heating and cooling systems. As part of our small and agile team, you’ll gain
hands-on experience in the development and application of intelligent energy technologies.

Your Responsibilities:

• Analyze and interpret time-series data from thermal energy systems
• Support the development of dashboards and KPIs for performance monitoring
• Work with Python, Pandas, and/or other tools to derive insights from operational data
• Assist in developing models or simulations for system behavior
• Collaborate with the engineering and product teams to improve our solution

Your Profile:

• You are enrolled in a technical degree (e.g. Engineering, Data Science, Energy Systems, Physics, or similar)
• First experience in data analysis with Python or similar tools (e.g. Jupyter, SQL, Excel)
• Curiosity for energy technology and sustainability
• Structured and independent working style
• Fluent in English (German is a plus, but not required)

What We Offer:

• A meaningful job with real impact on the energy transition
• Learning opportunities in both hardware and software development
• Flexible working hours and remote-friendly setup
• A motivated team and open culture where your ideas are welcome
• Potential for long-term collaboration or thesis projects

Stefan Petersen, CEO @ Factor4Solutions GmbH

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