Senior Data Analyst
Elwood Roberts
London, UK
3 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Customer Data Management
Data Systems
Python (Programming Language)
SQL Databases
Tableau (Software)
Job description
- Developing comprehensive reporting, data, and analytical products
- Leading on the delivery of several types of work surrounding New Ventures, Global Currency and Business Transformation
- Serving as a senior level individual contributor
- Translating complex business requirements into data solutions that are high-quality
- Using customer data to create models that will be used to predict the size of the opportunity of potential strategic initiatives, including new and maturing ventures
- Instrumenting dashboards to track performance of these initiatives and ventures, and to compare performance to predictions
- Pulling insights from this performance data to help us better understand our customers behaviour and to improve our offerings to them over time
- Incrementality analysis around existing products and services and the impact on key metrics such as acquisition, engagement, retention and financial contribution
- Producing partner facing analysis and reports that deliver meaningful insights in an easily comprehensible way for commercial stakeholders
Requirements
Do you have experience in Tableau?, * Extensive experience taking a problem from ideation through to solution thats driven business outcomes
- Experience of writing queries in python to process, gain insight and visualise the data
- In-depth with writing and optimising SQL queries for data analysis and reporting
- Experience in telling great stories with data, with the ability to create powerful visualisation to bring it to life - Tableau or equivalent visualisation tool experience
- A problem solver with an analytical mind that focuses on progress to get things into our colleagues hands sooner.
- Experience with applying statistical methodologies
- Experience in designing and building in a complex environment with high volumes of data
- Worked with agility in mind, in an environment where you break work down and focus on delivering iteratively
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