PAUL Tech AG

Building Equipment Contractors

51-200

Germany

__PAUL Tech AG__ is a technology leader in the real estate industry with the __mission__ to make buildings __carbon neutral__. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This __reduces CO2 emissions__ and __energy costs__. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the __common goal__ of developing intelligent solutions for buildings to __combat climate change__.

Therefore we are __looking for you__ to drive our scaling as

## Data Analyst (m/f/d) in Berlin

## Core responsibilities

## Strategic Stakeholder Collaboration

* Partner and collaborate closely with business stakeholders to understand their strategies, needs, and objectives

## Analytical Problem Framing

* Analytical outlook to frame the right questions while diving deep into business domains and processes

## Data Integration and Collaboration

* Connect data from various sources, collaborating with product managers and engineers to develop comprehensive data solutions

## Data Model Development

* Develop robust and clean data models, ensuring high-quality data thereby leading high-quality analytics

## Insightful Data Communication

* Communicate insights in a compelling and accessible manner to support product development and decision-making

Data-Driven Decision Support

* Support the business decision-making process, by generating analytical solutions by leveraging exploratory data analysis and hypothesis based “proof of concept” framework

## The skillset we are looking for

* Proven experience in __data analysis__, preferably within a business context
* Strong zeal for Data crunching and wrangling
* Proficiency in SQL and/or Python for data analysis and modeling
* Experience with __data visualization tools__ such as Power BI or Tableau
* A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams
* Strong analytical and __problem-solving skills__ with the ability to articulate complex ideas
* A passion for learning, hands-on work, taking ownership, and making an impact

## What you can expect from us

* A __meaningful job__ that contributes to global CO2 savings
* A __collegial__ working atmosphere with __short decision paths__
* A __permanent contract__ with an __above-average salary__
* __30 days vacation__ per calendar year plus 24.12. and 31.12. __off__
* Company __private health insurance__ and __supplementary pension__
* Company __fitness subsidy__ in your region
* Regular __company events__ to which you are very welcome
* __Tram ticket__ as well as drinks and fruit in our offices



Employee

<p><strong>PAUL Tech AG</strong> is a technology leader in the real estate industry with the <strong>mission</strong> to make buildings <strong>carbon neutral</strong>. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This <strong>reduces CO2 emissions</strong> and <strong>energy costs</strong>. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the <strong>common goal</strong> of developing intelligent solutions for buildings to <strong>combat climate change</strong>.</p>
<p>Therefore we are <strong>looking for you</strong> to drive our scaling as</p>
<h2 id="data-analyst-mfd-in-berlin">Data Analyst (m/f/d) in Berlin</h2>
<h2 id="core-responsibilities">Core responsibilities</h2>
<h2 id="strategic-stakeholder-collaboration">Strategic Stakeholder Collaboration</h2>
<ul>
<li>Partner and collaborate closely with business stakeholders to understand their strategies, needs, and objectives</li>
</ul>
<h2 id="analytical-problem-framing">Analytical Problem Framing</h2>
<ul>
<li>Analytical outlook to frame the right questions while diving deep into business domains and processes</li>
</ul>
<h2 id="data-integration-and-collaboration">Data Integration and Collaboration</h2>
<ul>
<li>Connect data from various sources, collaborating with product managers and engineers to develop comprehensive data solutions</li>
</ul>
<h2 id="data-model-development">Data Model Development</h2>
<ul>
<li>Develop robust and clean data models, ensuring high-quality data thereby leading high-quality analytics</li>
</ul>
<h2 id="insightful-data-communication">Insightful Data Communication</h2>
<ul>
<li>Communicate insights in a compelling and accessible manner to support product development and decision-making</li>
</ul>
<p>Data-Driven Decision Support</p>
<ul>
<li>Support the business decision-making process, by generating analytical solutions by leveraging exploratory data analysis and hypothesis based “proof of concept” framework</li>
</ul>
<h2 id="the-skillset-we-are-looking-for">The skillset we are looking for</h2>
<ul>
<li>Proven experience in <strong>data analysis</strong>, preferably within a business context</li>
<li>Strong zeal for Data crunching and wrangling</li>
<li>Proficiency in SQL and/or Python for data analysis and modeling</li>
<li>Experience with <strong>data visualization tools</strong> such as Power BI or Tableau</li>
<li>A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams</li>
<li>Strong analytical and <strong>problem-solving skills</strong> with the ability to articulate complex ideas</li>
<li>A passion for learning, hands-on work, taking ownership, and making an impact</li>
</ul>
<h2 id="what-you-can-expect-from-us">What you can expect from us</h2>
<ul>
<li>A <strong>meaningful job</strong> that contributes to global CO2 savings</li>
<li>A <strong>collegial</strong> working atmosphere with <strong>short decision paths</strong></li>
<li>A <strong>permanent contract</strong> with an <strong>above-average salary</strong></li>
<li><strong>30 days vacation</strong> per calendar year plus 24.12. and 31.12. <strong>off</strong></li>
<li>Company <strong>private health insurance</strong> and <strong>supplementary pension</strong></li>
<li>Company <strong>fitness subsidy</strong> in your region</li>
<li>Regular <strong>company events</strong> to which you are very welcome</li>
<li><strong>Tram ticket</strong> as well as drinks and fruit in our offices</li>
</ul>


Data Analyst (m/f/d)

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