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Aula over 3 years ago
analystdata sciencesenior
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Help our team make important decisions everyday.As our first Senior Data Analyst at Aula you will help our leaders make data-informed decisions by analyzing and visualizing data to tell compelling stories. Our core focus here at Aula is in enabling both us and our educators to make data-informed decisions. You will be a key player at the center of our Data first approach.### TL;DRPermanent Full-time Remote Role for anyone between GMT +1 and GMT -6 hoursReporting to: Kelly Burdine (Data Lead)High-impact, high visibility role in a fast paced EdTech startupSalary: £73 - 85k ($100k-$116k) based on location and level of experienceBehind the scenes look at our data stack; Fivetran, Stitch, dbt, Snowflake, and Metabase### Aula is the Learning Experience Platform (LXP) for higher education.We are building a community-first product that brings together students and educators in a digital environment to interact and collaborate.Our team’s core focus is enabling both Aula and our educators to make data informed decisions. We build things core to decision making within the business and a recommendations feature within our product that helps educators help students succeed.### You are* Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data* Someone who has a lot of attention to detail. You have a high bar for quality and consistency* A storyteller. You know how to extract and communicate insights out of data to drive action* A problem solver. You know how to break a problem down and balance short term goals with long term objectives### You will* Be a part of a high-performing and inclusive team that values autonomy.* Work with your teammates to set high goals — and celebrate success when we hit them.* Contribute to building a collaborative, productive and friendly remote workplace.* Double the percentage of educators who say they love Aula by analyzing and identifying trends in usage and survey data and providing those insights to our PMs to create the most impactful product roadmap* Identify the core action(s) that help educators realize the value of Aula and improve retention* Help our educators and partner institutions understand Aula’s impact on student outcomes by analyzing product usage, university data, and survey data and creating top-notch reporting* Analyze product usage to understand which educator actions drive student engagement and provide those insights through a new insights and recommendation feature in Aula* Build, maintain, and communicate company level metrics* Design and build out analytic data models that support answering questions from our product team and company leaders* Build new and exciting revenue streams with DataAs an organisation we are remote first, asynchronous by default. Our rituals allow us to have a team based all around the world and deliver reliable and accurate data solutions. We want this person to have several hours overlap with the rest of the data team so we’re hiring from anywhere Greenwich Mean Time (GMT) and -6 hours of GMT (London to Chicago). We’re not hiring from places that require a graveyard shift to make the overlap happen.## What you need to do the JobThe most important thing about you is that you are curious and care deeply about how data empowers better decision making. You are transparent, considerate and ready to work hard to further our mission.### Must-have experience:* Strong SQL skills* Experience using analytic techniques such as segmentation, hypothesis testing, regression, and clustering* Experience building reports and dashboards with a modern data visualization tool (e.g. Metabase, Re:dash, Looker, Mode, Sisense)### Nice to have experience:* with a modern data warehouse (e.g. Snowflake, BigQuery, Redshift)* Working with Git and Python* Modeling data with dbt* Working in SaaS, analyzing product usage data and designing and analyzing A/B experiments* You approach everything you do proactively and are always looking for ways to improve and innovate. You understand that this is a small team in a startup that is scaling and are excited to contribute to the Aula story.## About the teamOur Data team is made up of a team lead, analytics engineer, data analyst (you!), and user researcher. We work closely with our product, commercial, and operations teams to provide the reporting and insights for internal decision makers. We are also working to provide our students and educators data and insights within the Aula platform.Our virtues are what makes Aula as an organisation unique.**Our commitment to ersity and inclusion should not be mistaken with building an organisation where 8 billion people would thrive. We lean into what makes Aula unique: we’re building an organisation where high performing people are silly ambitious about improving education - at scale.We judge our virtues by what we do, not what we say.* Our virtues are 🚀 Silly Ambitious* 🔍 Uncomfortably Focused* 🗣 Transparent by Default### A fair chanceEvery role in the Aula team is open to applications from all sections of society. We believe in the superpowers and potential of everyone; regardless of race, religion or belief, ethnic origin, different physical ability, family structure, socio-economics, age, nationality or citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other difference that makes you, well, you.More than just encouraging your application, we're committed to conscious inclusion that (we hope) cultivates an ethos of belonging, connection and shared purpose. It’s this philosophy that drives us towards our mission, and we open our doors to those who share these motivations. Be sure to mention the words DISCOVER ACTION VELVET when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human / RMjYwMDozYzAxOjpmMDNjOjkyZmY6ZmUyMzo0NDNm.#Salary and compensation

$100,000 — $120,000/year#LocationGMT -6 to GMT +1