Job title: Bi Analyst - Retention Data
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.
Location: London, SW1E 5JL (on site 3 days per week)
Contract length: 12 months
Pay rate: £200.00 per day (PAYE)
As we rapidly expand our ecosystem of products and services, we are looking for a skilled analyst to join our business to work across several high-profile projects focused on customer retention.
This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle, with a particular focus on retention. To be effective, you will be able to work with large databases and cutting-edge tech stacks - you will use SQL/Python and BI tools (such as Tableau/Qlik) to mine, synthesize, and visualise data and influence work across a range of stakeholders.
Responsibilities
* Support the analytics needs of the business by building automated scalable reporting solutions focused on customer retention.
* Create holistic dashboards by combining data from both internal and external data sources for presentations to senior business leaders regarding customer retention.
* Work closely with mission teams to identify gaps in the data capture strategy related to customer behaviour and collaboratively implement enhancements.
* Go one step further and provide actionable insights and recommendations related to key customer retention measures.
* Build and maintain relationships with other areas of the business to ensure information requirements related to retention are delivered in accordance with business needs and future requirements.
Qualifications
* Previous experience working in data in a BI analyst role or similar, with a focus on customer retention or lifecycle analysis.
* Strong ability analysing and combining large SQL datasets.
* Advanced SQL (comfortable writing queries that combine data from various tables, e.g., CTEs, temporary tables).
* Experience with business reporting tools such as Tableau and Qlik.
* Experience of working with and building data pipelines.
* Track record of taking data from information to insights, particularly within customer retention.
* Experience with statistical analysis tools such as Python/R.
* Experience within Fintech working closely with financial data related to customer churn and loyalty.