Data Analyst

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We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

Bumble is expanding its analytical function again. We are looking for experienced analysts to be part of an established team. You will be joining a team of ten bright and savvy analysts and data scientists to work on a wide range of data challenges: evaluate product features, user behavioural pattern mining, A/B test results, PR materials and fun facts, revenue / user churn predictions, competitor reports, effect of marketing campaigns, social media data scraping and sentiment analysis (NLP), forecasting models and much, much more.

If you want to work with some of the most exciting technologies for big data, this is your chance! We constantly review and extend our tool stack to remain current. Continuous learning is a crucial part of the job. We participate regularly in conferences, meetups, trainings and internal hackathons. If many of the following speak to you, we would like to hear from you!

Key Accountabilities

Manipulate complex datasets using a range of tools such as Python, SQL, Hive and Spark

Deliver actionable insights to product, marketing, billing, engineering and operations teams

Perform analysis across a variety of data topics and help solve challenges such as  interpreting split test results, predicting user behaviours and finding top performing user segments

Take the lead on new exploratory research projects in a wide variety of areas

Contribute to ongoing infrastructure improvements, e.g. our Bumble Python library

Required skills and knowledge

Strong commercial experience querying, analysing and providing insights from large datasets (100 TB+), preferably in online/tech industry

Advanced SQL: analytic functions, performance tuning, data wrangling

Python: pandas, scikit-learn, statsmodels, IPython/JupyterData Visualisation: D3.js, matplotlib, seaborn, plotly, ggplot (any of the above)

Experience in A/B testing analysis: significance analysis, non-parametric methods, bootstrapping

Ability to engage well with other parts of the business such as developers, product managers and senior management

Experience in presenting findings to varying audiences (technical and non-technical stakeholders) and catering presentation style appropriately

A strong attention to detail and a clear and concise writing style

Desired skills and knowledge

Hadoop, Hive, Spark, Exasol R

MicroStrategy or other BI platform

Data Modeling

Machine Learning: predictive models (Regression, GLM, Bayes, GBDT), clustering, NLP

Version Control experience: Git, SVN

With over 600 staff in 10+ countries all working remotely during the time of COVID-19, we've worked hard to adapt and support our teams during this challenging time, including:

* Flexible working hours

* Streaming free, live yoga & meditation sessions each week, as well as a full weekly timetable of free online exercise classes

* ‘Random Coffee' - connecting staff across the globe in pairs once a week to get to know each other over a video chat

* ‘First Fridays' - meal delivery for a remote lunch with your team once a month

* Employee Support Fund for those whose households are experiencing financial hardship due to COVID-19

* Written resources to guide employees through this challenging time

* You will also be taken through a fully digital onboarding process!

About Bumble: Bumble is the parent company that operates Badoo and Bumble, two of the world's largest dating and connection apps with millions of users globally. The Bumble app was founded by CEO Whitney Wolfe Herd in 2014. Bumble is majority-owned by Blackstone and has over 600 employees in offices in Austin, London, and Moscow.