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Analytics Engineer



Data Science, (Engineering)
San Francisco, CA, USA
Posted on Tuesday, April 5, 2022
<div class="content-intro"> <p><strong>ABOUT RETOOL: </strong></p> <p><span style="font-weight:400;">At Retool, we’re changing the way software is built. We’ve developed the fastest way to build internal tools, saving companies time, resources, and engineering bandwidth. Whether it’s refunding orders, underwriting loans, managing marketplaces, rolling out new features, analyzing transactions, or providing customer support, Retool makes it dramatically faster and easier to build internal tools that teams need. We believe that the future of software development lies in being a force multiplier for developers and technical builders, helping them move considerably faster building a lot more software. We’re looking for highly collaborative people as we build a world-class team to support this mission and we’d love for you to join us! </span></p> </div><p><strong>WHY WE'RE LOOKING FOR YOU:</strong></p> <p><span style="font-weight:400;">Retool has set out to radically rethink how this custom internal software is built. We’ve created a new type of development environment, combining visual, drag-and-drop manipulation with code-based customization. It seamlessly integrates with nearly any data source and enables instant deployment to end users. It’s a force multiplier for developers building internal tools, dramatically faster and easier than writing software from scratch.</span></p> <p><span style="font-weight:400;">Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire an Analytics Engineer to help us build out our analytics and business intelligence systems to serve the needs of our business today and for a broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high-growth startup.</span></p> <p><strong>WHAT YOU'LL DO:</strong></p> <p><span style="font-weight:400;">As an Analytics Engineer at Retool, you will build a foundation that strengthens Retool’s data culture at scale. You’ll initiate projects that solidify Retool’s data science &amp; reporting capabilities and help the company remain data-driven. Our data team is in its early stages, so you will have the opportunity to help define our data team structure and operating rhythm for the future. You’ll develop data sets to streamline operations, inform strategic priorities, and develop product insights. We’ll look to you to define key metrics and develop KPIs and data pipelines that empower stakeholders to make data-informed decisions. You’ll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement new events. We’ve already built out a solid stack on top of Segment, Spark/Databricks, dbt, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.</span></p> <p><strong>WHO YOU'LL WORK WITH:</strong></p> <p><span style="font-weight:400;">As part of our data team you’ll work with stakeholders across the business, including finance, marketing, engineering, product, operations, and support. You’ll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and love swapping stories. If this sounds like you, we’d love to hear from you! </span></p> <p><strong>IN THIS ROLE, YOU'LL: </strong></p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Develop and define metrics that drive key business decisions </span></li> <li style="font-weight:400;"><span style="font-weight:400;">Build and maintain scalable ETL pipelines</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Design our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fitting</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Work with our engineering teams to ensure robust instrumentation across areas of the product</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Develop the systems, processes, and standards that Retool uses to organize its data as the company grows</span></li> </ul> <p><strong>THE SKILLSET YOU'LL BRING: </strong></p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Background in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Ideally 3+ years of experience managing and building large complex data sets across a range of sources.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience implementing and defining data best practices at scale.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Intense attention to detail and passion for data quality.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience developing and managing scalable data quality monitoring, alerting, and triage systems.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Excellent business acumen with the ability to translate ambiguous stakeholder requirements into data models.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, BigQuery, Redshift, Airflow, Snowflake).</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Experience optimizing large-scale datasets for performance in a big data environment.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Skilled at data visualization, with strong opinions on the right way to distill information to various audiences.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R).</span></li> <li style="font-weight:400;"><span style="font-weight:400;">A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">A bias towards communication and collaboration with business and technical stakeholders. </span></li> <li style="font-weight:400;"><span style="font-weight:400;">Quantitative rigor and systems thinking.</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Prior startup experience is preferred, but not required.</span></li> </ul> <p><strong>OUR U.S. BENEFITS:</strong></p> <ul> <li style="font-weight:400;"><span style="font-weight:400;">Generous medical, dental, and vision benefits </span></li> <li style="font-weight:400;"><span style="font-weight:400;">401(K) plan enrollment and matching up to an effective rate of 4%</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Paid company holidays and unlimited time off; take what you need!</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Annual continuing education stipend</span></li> <li style="font-weight:400;"><span style="font-weight:400;">Paid parental leave and family planning support </span></li> <li style="font-weight:400;"><span style="font-weight:400;">Wellness benefits include mental health, meditation support, OneMedical membership</span></li> </ul><div class="content-conclusion"> <p>Retool offers generous benefits to all employees. For more information, please visit the benefits and perks section of our careers page!</p> <p> </p> <p>At this time, Retool is only set up to employ in the US and UK. </p> </div>
Retool is an equal opportunity employer.
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