Functional

Analytics

Performance

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

First name

Last name

Phone number

Upload your cv (Optional)

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

#J-18808-Ljbffr

Factor4Solutions GmbH

Jobs:

Engineering Data Analytics

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