Software Development

LANCH GmbH

11-50

Germany

At LANCH, we empower small gastronomy owners by giving them the tools needed to make food delivery fun again. We are building the world’s biggest virtual food court by creating high-quality delivery brands together with the megastars of our generation. LANCH is food delivery built for 2023. Backed by HV Capital, Felix Capital and a bunch of superstar angels such as the founders of FlixBus, Gorillas, Flaschenpost, Glovo, Foodspring, Foodora, Honest Food, Finleap and the most known YouTubers, rap stars and athletes of our time.

## Tasks

As an Analytics Engineer working student, you will have the opportunity to gain hands-on experience in a dynamic and fast-paced environment. You will work closely with our tech team to develop and maintain data pipelines, implement data models, perform complex data analysis and visualize data. This role is ideal for students who are passionate about data analytics and want to apply their knowledge and skills in a real-world setting.

**What you will do:**

*   Develop and maintain analytics dashboards and reports to visualize data insights by using Metabase.
*   Collaborate on ad-hoc analyses to answer our main and most urgent business questions.
*   Maintain data pipelines, ensuring the availability, reliability, and scalability of data systems.
*   Collaborate with cross-functional teams (eg. Finance <> Tech) to support our invoicing process (data loading, process optimization).

## Requirements

To be **successful in this role,** you are/have:

*   Strong data wrangling skills (Pandas, SQL, high-volume spreadsheets)
*   Currently enrolled in a relevant degree program (e.g., Computer Science, Statistics, Data Science, or a related field).
*   Familiarity with data modeling techniques and data visualization tools (e.g., Metabase, Tableau, Power BI).
*   Excellent problem-solving and analytical skills.
*   Strong attention to detail and ability to work independently.

**A big plus:**

*   Knowledge of data warehousing concepts and ETL processes
*   Experience with dbt.
*   Experience with cloud services, preferably Google Cloud Platform

## Benefits

**How we take care of you:**

*   Hybrid working and flexible working hours combined with a fair target salary
*   A steep learning curve with a high career growth trajectory and massive ownership
*   Unique team spirit and flat hierarchies
*   A beautiful and well-equipped office in the center of Berlin
*   Team offsites every 16 weeks to come together in person & celebrate ourselves

Working student

No experience required / Student

<p>At LANCH, we empower small gastronomy owners by giving them the tools needed to make food delivery fun again. We are building the world’s biggest virtual food court by creating high-quality delivery brands together with the megastars of our generation. LANCH is food delivery built for 2023. Backed by HV Capital, Felix Capital and a bunch of superstar angels such as the founders of FlixBus, Gorillas, Flaschenpost, Glovo, Foodspring, Foodora, Honest Food, Finleap and the most known YouTubers, rap stars and athletes of our time.</p>
<h2 id="tasks">Tasks</h2>
<p>As an Analytics Engineer working student, you will have the opportunity to gain hands-on experience in a dynamic and fast-paced environment. You will work closely with our tech team to develop and maintain data pipelines, implement data models, perform complex data analysis and visualize data. This role is ideal for students who are passionate about data analytics and want to apply their knowledge and skills in a real-world setting.</p>
<p><strong>What you will do:</strong></p>
<ul>
<li>Develop and maintain analytics dashboards and reports to visualize data insights by using Metabase.</li>
<li>Collaborate on ad-hoc analyses to answer our main and most urgent business questions.</li>
<li>Maintain data pipelines, ensuring the availability, reliability, and scalability of data systems.</li>
<li>Collaborate with cross-functional teams (eg. Finance &lt;&gt; Tech) to support our invoicing process (data loading, process optimization).</li>
</ul>
<h2 id="requirements">Requirements</h2>
<p>To be <strong>successful in this role,</strong> you are/have:</p>
<ul>
<li>Strong data wrangling skills (Pandas, SQL, high-volume spreadsheets)</li>
<li>Currently enrolled in a relevant degree program (e.g., Computer Science, Statistics, Data Science, or a related field).</li>
<li>Familiarity with data modeling techniques and data visualization tools (e.g., Metabase, Tableau, Power BI).</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong attention to detail and ability to work independently.</li>
</ul>
<p><strong>A big plus:</strong></p>
<ul>
<li>Knowledge of data warehousing concepts and ETL processes</li>
<li>Experience with dbt.</li>
<li>Experience with cloud services, preferably Google Cloud Platform</li>
</ul>
<h2 id="benefits">Benefits</h2>
<p><strong>How we take care of you:</strong></p>
<ul>
<li>Hybrid working and flexible working hours combined with a fair target salary</li>
<li>A steep learning curve with a high career growth trajectory and massive ownership</li>
<li>Unique team spirit and flat hierarchies</li>
<li>A beautiful and well-equipped office in the center of Berlin</li>
<li>Team offsites every 16 weeks to come together in person &amp; celebrate ourselves</li>
</ul>


Analytics Engineer - Working Student

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