Data Analyst – Population Health, Ref: 012

Role Type

Data Analyst

Skills / Experience

Power BI, SQL, Excel, Jira

Availability

From January 2025 or 4 weeks notice

Contract Preference

Ideally permanent but open to long term contracts including FTC

Salary / Rate Expectation

£30k – £35k

Profile

A Data Analyst with 4.5 years of experience, specialising in extracting, analysing, and processing complex datasets to deliver high-quality reporting and actionable insights that support decision-making across organisations. They have extensive hands-on experience in developing interactive reports and dashboards using Power BI Desktop, incorporating advanced features such as calculations, filters, conditions, sorting, drill-down, and drill-through functionality.

Skilled in using DAX to write calculated columns and measures for enhanced data analysis, they are also proficient in implementing Row-Level Security (RLS) to control data access. They have a strong background in validating data across multiple sources, such as SQL and Excel, ensuring thorough cleansing and transformation before loading into Power BI.

Additionally, they are well-versed in writing complex SQL queries and stored procedures using SQL Server Management Studio, and leveraging Excel for detailed data validation and analysis through pivot tables, VLOOKUP, and various other functions.

Experience

Intelligence Analyst (February 2024 – Present) – Health Care Services Sector

  • Collaborating with the Population Health Team to gather, extract, manipulate, and analyse data for various health initiatives, producing high-quality reporting and intelligence to support decision-making across the organisation.
  • Developed dashboards for key health metrics, such as infant admissions and Over65 hospital admissions, using Power BI.
  • Responsible for complex data transformations using Power Query, extracting data from multiple sources (e.g., SQL, Excel, APIs).
  • Utilised various DAX functions, including calculated measures and columns, to build interactive reports with features like drill-through, filters, and bookmarks.
  • Created SQL stored procedures to extract data and integrated this into Power BI for real-time reporting.
  • Automated reports using scheduled refreshes to ensure accurate and up-to-date data.
  • Produced insightful trend analysis and YOY (Year on Year) calculations to assess hospital admissions and their causes, aiding in health resource planning.

Data Analyst (June 2023 – November 2023) – Media and Marketing Sector

  • Developed and implemented dashboards for tracking key performance indicators (KPIs) such as Click Through Rate, Open Rate, and Bounce Rate for email campaigns and website traffic.
  • Worked closely with marketing, sales, and senior management teams to understand requirements and deliver tailored reports for performance analysis.
  • Performed data analysis and transformations in Excel before loading it into Power BI for reporting.
  • Applied time intelligence functions and various DAX techniques to perform month-on-month analysis and calculate key metrics.
  • Optimised data extraction and transformation processes using SQL, reducing processing time by 30% and enhancing data quality.
  • Automated weekly and monthly reporting processes, saving 10 hours per week and ensuring timely delivery of critical business reports.
  • Collaborated with business users to design data models that supported their analytical needs.

Data Analyst (December 2017 – June 2021) – Marketing Sector

  • Worked on marketing analytics for a telecom client, focusing on lead lifecycle management, revenue tracking, and spend analysis for lead nurturing.
  • Developed dashboards in Power BI to track key metrics such as Leads, Sales Accepted Leads (SALs), Marketing Qualified Leads (MQLs), and revenue associated with each stage.
  • Utilised DAX to create calculated columns, measures, and computed tables, and to perform complex metrics calculations.
  • Designed and published various dashboards, including Funnel Executive, Campaign, Market Share, and Digital/Traditional Market Summary Dashboards.
  • Configured Row Level Security (RLS) for data access control and set up Power BI Gateways to automate data refreshes and keep reports up to date.
  • Worked extensively with SQL to extract and transform data for reporting, streamlining processes to improve efficiency.

 

For further information on this candidate please use reference number: 012

Request more information

To express your interest or learn more about this candidate please fill out the form below and we will get back to you. Alternatively you can call us on:

01937 541888