eqtble

<h1><strong>About us</strong></h1>
<p>At eqtble, we’re on a mission is to empower companies to make more equitable decisions around their employees. We're building a people analytics platform that enables talent and people leaders to access a rich set of analytics and insights out of their existing data. We are looking for a data analyst to work closely with the founding team.</p>
<h1><strong>About the role</strong></h1>
<p>As one of our first data analysts, you'll be working closely with our Head of Data Science. Your job is to handle all things related to data - validating, visualizing, and adding new analytic capabilities to our app.</p>
<h2><strong>Experience we are looking for</strong></h2>
<ul>
<li>SQL / Data Modeling / Data Analytics</li>
<li>Developing data models in DBT</li>
<li>Writing lots of fun SQL code</li>
<li>Bonus: People/HR analytics experience</li>
</ul>
<h2><strong>In your first 30 days, you will:</strong></h2>
<ul>
<li>Align with our Head of Data Science, to understand the data model and technology stack</li>
<li>Begin working on minor data-related tasks and familiarizing yourself with our people analytics solution.</li>
<li>Meet the team to comprehend the broader vision and the role data plays in it.</li>
</ul>
<h2><strong>In your first 60 days, you will:</strong></h2>
<ul>
<li>Gradually undertake larger responsibilities in data analysis.</li>
<li>Create dashboards and data visualizations for customers.</li>
<li>Debug data issues</li>
<li>Collaborate with the team to define priority features and address issues.</li>
</ul>
<h2><strong>In your first 90 days, you will:</strong></h2>
<ul>
<li>Take charge of improving and identifying data quality and errors.</li>
<li>Utilize SQL, and potentially Python and ML techniques, to develop new insights and analytics for our clients.</li>
<li>Collaborate with cross-functional teams to integrate new features and insights into the product.</li>
</ul>
<h1><strong>About you</strong></h1>
<p>You are comfortable working autonomously and love the challenge of going from ambiguous requirements to a well-thought-out solution.</p>
<p>You are excited to build a fast-growing startup from the ground up.</p>
<p>You are naturally curious and interested in learning!</p>
<p>You have 1+ years of experience as a data analyst (bonus if you worked at an early stage startup)</p>
