Data Analyst

Job ref: PAU

Location: London, Greater London, England

Contract: Permanent

Salary: 50,000 - 52,000 per year

Sector: IT and Digital

Posted:

Consultant: Paul Bentley Apply

Data Analyst - Permanent role - + Benefits - London

We are looking for a Data Analyst with strong analytical focus, including Python, analytics and insight, SQL, research and Power BI, rather than candidates who are more engineering-focused (e.g. pipelines, ETL and development).

Core Duties of the role:

Using a variety of analytical techniques, turn data into clear, strategic
recommendations for the organisation and leadership

• Create automated dashboards (Power BI, AI/BI (Databricks)) that enable
stakeholders to reliably monitor KPIs

• Produce root Cause Analysis, identifying the _why_ behind business
performance fluctuations

• Design and evaluate A/B tests or pilots and quantify impact of new
initiatives, service changes, or communications

• Create a backlog of analytics improvements and prioritise work with
organisational teams based on impact and effort

• Create automated reports by developing scripts or workflows that reduce
manual reporting time

• Support the Data and Governance team with data Quality Assurance tasks
and initiatives, identifying, fixing, and monitoring data errors to maintain a
_single source of truth_

• Create and deploy predictive models and forecasts by using data to
forecast future trends or member behaviour

• Support the successful delivery of data products to teams across the organisation alongside product teams

• Support The organisation with the use of data, data products, and
interpreting insights to support data literacy across the organisation.

Required Skills:

Extensive experience in data analysis using python, especially

using libraries such as Pandas and NumPy

Relevant experience with Power BI or similar tools such as
Tableau or Qlik for data storytelling, data visualisation and
reporting

Strong programming skills in SQL or Spark SQL

Strong numeracy and statistical modelling expertise

Familiarity with DevOps, JIRA and GitHub tools