Senior Data Analyst II
Runna
- London, England, United Kingdom
- London, England, United Kingdom
Über
The team you’ll join We are looking for a talented, creative, and positive team player to join our highly skilled data analytics team and play a key role in shaping and evolving our data reporting and analytics capabilities. The data analytics team at Runna is responsible for exploratory analysis and documentation of our data, designing reusable data models to make data more consumable for a wider audience, collaborating with key stakeholders to understand the business questions they’re trying to answer, and building dashboards/reports to visualise and present our data to a wider audience. You’ll work closely with the data engineering team to ingest and model data along with a variety of other stakeholders around the business to understand their specific reporting/data needs.
What you’ll be doing
Explore and understand our data ecosystem allowing you to carefully document observed behaviours
Build high quality data models serving as the foundation for the team to use and build out more complex models or use to drive reporting
Deliver business insights to key stakeholders to help them make better informed decisions on the direction of the product and business
Design and deliver engaging dashboards which intuitively deliver key insights
Collaborate with stakeholders around the business to understand the business questions they are trying to answer and converting those questions into technical solutions
What You’ll Bring To The Team If you don’t quite meet all of the below skills, we’d still love to hear from you as we might be able to tweak the role slightly or offer you a position better suited for you. You can apply directly below or contact us if you’re still unsure.
Your Key Experience
5+ years in a Data Analytics, or Data Analytics Engineer role
5+ years working with BI reporting tools and SQL
Strong experience designing and building data models
Strong experience working and communicating with stakeholders at all levels
Your Key Skills
Advanced SQL: You’re an expert in writing complex SQL queries to extract and model data from a variety of different data sources; your queries should be easy to read, efficient, and scalable.
Data Wrangling: Ability to understand and clean messy data, looking for opportunities to make our data more robust and easier to use.
Data Modelling: You craft high quality re-usable data models according to industry best practice.
Data Warehouse Tools: Experience working with data warehouses (ideally Snowflake) and data at scale will be highly beneficial.
Python: Proven ability to write clean, performant, and well-documented Python code for data cleansing, transformation, and analysis.
BI Dashboards: Expertise in BI/dashboarding tools to build compelling automated dashboards for our internal teams and stakeholders.
Source Control: Experience with source control (ideally GitHub).
Communication Skills: You will be a highly skilled communicator capable of taking complex technical solutions and explaining them to non-technical stakeholders or taking business requirements and turning them into a technical specification for a dashboard/report.
Business Acumen: You have a strong understanding of how businesses operate and can leverage your knowledge to get to the root of the problems our stakeholders are facing and solve them.
Statistics: You have a strong understanding of statistics and can describe correlations in data to explain user behaviours.
Coaching & Mentoring: You are a skilled, supportive coach/mentor able to support more junior colleagues with technical implementation and advise on best practices.
Technical Leadership: You are an expert in data analytics solution design and can lead a project from inception to delivery. You actively contribute to setting standards for the whole team.
Experimentation: You have experience with experimentation and AB testing, including design, implementation and methodologies.
Bonus Points If You Have
Relevant Degree: A degree in a related field such as Computer Science, Mathematics/Statistics, or Data Science is great to have.
Infrastructure as Code: Experience with Terraform or other IaC tools would be highly beneficial.
Continuous Integration/Continuous Deployment: Knowledge of CI/CD best practices and experience with methodologies and tooling, such as GitHub actions, is beneficial but not required.
Fitness: Experience with fitness data (e.g. heart rate data, FIT files) or even a general interest in fitness will be beneficial for understanding the domain.
Marketing Data: Any experience with marketing data (e.g. Google Ads, Facebook/Meta, AppsFlyer etc.) will be extremely useful.
Salary And Benefits We’re offering a salary of £90,200 - £100,400 per year, depending on experience, plus participation in Strava\'s long-term incentive (stock) programs. Overview of our benefits is below.
Flexible working – we typically spend 2–3 days a week together in our Vauxhall office
25 days holiday, plus bank holidays
Runna subscriptions for you and 5 of your friends
Strava membership
Headspace membership
Money every year to spend on gear, events and the gym
A voucher to spend on Runna kit each work anniversary
Private health insurance with Bupa and workplace pension
Modern Health mental wellness platform and app
Carrot fertility support for inclusive fertility, hormonal health, and family-forming benefits
Please see more info on our amazing benefits here: Benefits at Runna
Our Interview Process Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:
Introductory chat with one of our Talent Associates (30 minute video call)
Team Manager (30 minute video call)
Take home task (3-4 hours in your own time)
Technical Interview (1 hour video call)
Meet the team and in-person chat with founder(s), rest of the team and technical discussion
Please let us know if there’s anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner.
Compensation Range: £90.2K - £100.4K
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Sprachkenntnisse
- English
Hinweis für Nutzer
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