Senior Data Analyst
Kraków, Lesser Poland Voivodeship, Poland
Requirements
The Role:
LoopMe is looking for a Data Analyst who will lead the analytical support of PurchaseLoop Brand; LoopMe’s award winning survey-based optimization/attribution product. This will involve translating large and often complex datasets into actionable insights for the business.
The Senior Data Analyst will be working closely with our Data Science team in an exciting and fast paced environment in one of the most innovative companies in the present adtech space.
You will report to the Chief Data Scientist (https://www.linkedin.com/in/leonardnewnham/) and join a team of 15 data scientists, data engineers and java developers. See About the Data Science Team section below to check out who we are.
Key Skills & Experience:
- 2 + years’ proven experience in analytics
- Experience of SQL or other database query language
- Experience in preparing analytical reports
- Strong analytical skills, stress-resistant, extremely detail-oriented
- Knowledge of statistics, particularly statistical significance tests
- A good nose for inconsistent data
- Strong level of written English
Bonus qualification:
- Experience working with Python or R
- Some experience with Kibana (ElasticSearch query tool)
- Previous experience working in digital advertising
About You:
- Proactive attitude towards improving processes and finding new solutions to challenging business problems
- Strong self-motivation, reliable and flexible team-player
- High attention to details, ability to remain focused under pressure
- Excellent communication skills - you will be working with colleagues in the UK and other locations
- We like to make work enjoyable, so a good sense of humour is required
Benefits:
- Competitive compensation package
- Hundreds of millions of people see your work and use our products worldwide
- A transparent work environment
- Friendly team environment where learning and acquiring new skills is encouraged
- Joining a stable, high-growth company
Key Responsibilities:
- Lead small team of data analysts.
- Working together with other members of the Data Science and Support teams to translate a huge variety of datasets into valuable business insights
- Working together with other members of the Data Science team to translate analyses into improvements to the real-time AI engine
- Preparing lists of in-flight recommendations for live campaigns
- Using python/R to write detailed queries to our databases and conduct analysis such as statistical testing, data visualization
About the Data Science Team:
- We are a team of 15 data scientists and Java developers building systems to apply innovative solutions to real world problems. LoopMe has over 200 employees, 100 of which are technical.
- We are a distributed team with offices in London, Poland and Ukraine. We are NOT an outsourcing team, we are a truly distributed team, where everyone’s ideas are listened to.
- We are open to new ideas and actively strive to improve both our systems and our development practices. It is a team where anyone can have a real impact.
- We are an inclusive and welcoming team in which people enjoy working with their colleagues and feel valued.
About LoopMe:
LoopMe was founded with the mission of closing the loop on brand advertising. Our full-stack tech platform harnesses mobile data, using a powerful combination of attribution, Artificial Intelligence and analytics to deliver outstanding campaign performance against brand outcomes - consideration, purchase intent, foot traffic and offline sales.
The company was founded by experienced mobile advertising executives Stephen Upstone (CEO) and Marco Van de Bergh (CTO) in 2012. LoopMe has global offices in New York, London, Chicago, LA, Atlanta, Boston, Dallas, Detroit, San Francisco, Dnipro, Singapore, Beijing, Dubai and Johannesburg.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data visualization Elasticsearch Kibana Python R SQL Statistics Testing
Perks/benefits: Career development Competitive pay Flex hours Startup environment
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