Senior Data Analyst - Product

Genuent is hiring a Senior Data Analyst for our direct client. This is a direct hire opportunity, and can be worked completely remote. Qualified candidates should send an udpated, Word version of their resume to Rachel Yarbrough at Ryarbrough@Genuent.comOur client is expanding its analytical function and we are looking for analysts to be part of our team. You will work closely with colleagues from around the business to deliver the best possible experience to our global user base. You will work on a wide range of data challenges, such as A/B testing, product feature analysis and lifetime modelling. In your role, you will get to work closely with a group of talented analysts as part of an open, inclusive community that aims to always be adopting the latest and best analytical techniques. 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, training and internal hackathons. If any of the following speak to you, we would like to hear from you!KEY ACCOUNTABILITIES

• Manipulate complex datasets using a range of tools. Proficiency in SQL is essential, with Python/R a preferred addition.
• The ability to deliver actionable insights to stakeholders within the organisation, at all levels.
• Perform analysis on a variety of data topics, helping to solve challenges such as interpreting
• A/B test results, predicting user behaviours and finding top performing user segments.
• Work collaboratively with stakeholders (both internal and external to BI) to identify and define new user challenges, along with potential solutions and improvements to remedy these.

• Proven commercial experience querying, analysing and providing insights from large datasets.
• Advanced SQL: The ability to optimise and efficiently extract large volumes of data.
• Experience in A/B testing analysis: experiment design, significance analysis, non-parametric methods.
• Ability to engage key stakeholders 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
• Excellent attention to detail, and a clear and concise writing style.

• Python a plus: pandas, scikit-learn, statsmodels, matplotlib, seaborn, plotly, ggplot (any of the above). R equivalent equally a plus.
• Experience leveraging Tableau/Looker/MicroStrategy or other data viz/dashboarding platforms.
• Data Modeling.
• Understanding of, and ability to use modelling (regression, classification etc)
• Strong working knowledge of statistics
• Mobile app and/or product team experience a plus