ManpowerGroup
Data Analyst
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Data Analyst
Location - Hybrid 3 days in Manchester
Salary - considering options up to £60k
Role Purpose
As a Data Analyst in the Data and Innovation team, you will be a key driver of the organisation's data-centric culture, harnessing data to inform strategic business decisions. Your role is to synthesise complex data sets into clear, actionable insights that shape product optimisation, customer engagement, and operational efficiency.
You will foster a collaborative environment where knowledge sharing and continuous improvement are paramount. Your expertise will contribute to the development of a centralised data analytics framework, bridging the gap between technical data analysis and strategic business initiatives.
You will be responsible for maintaining and advancing our data reporting systems, ensuring they provide a robust foundation for data-driven decision-making across the company.
In this role, you will be expected to stay abreast of the latest tools and techniques in data analytics, bringing innovative solutions to the table and maintaining the team's competitive edge - for example in tools like: SQL, Snowflake, Python, Google Analytics/other web analytics, Power BI.
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Responsibilities
- Analyse Data and Generate Insights: Extract and analyse data from our data lakes and relevant sources to provide actionable insights for business decisions and strategy formulation
- Reporting and Visualisation: Develop, maintain, and automate insightful BI and MI reports, ensuring data accuracy and relevance. Champion the automation of reporting capabilities to enhance efficiency
- Reporting Automation: Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process
- Analytics Platforms: Utilise platforms such as SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare, and Hotjar for in-depth analysis and to create insightful reports
- AI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity
Essential Experience
- Strong background in analytics, ideally within a commercial or digital product/service context
- Proficiency in SQL, data visualisation tools (e.g., Streamlit/Python, Power BI, Data Studio/Looker, GA4 Reports), and dashboard/report creation
- Experience with Google Marketing Cloud, inc. Google Tag Manager, Google Analytics, Google Search Console, etc
- Knowledge of statistical concepts, techniques, and methodologies, and experience with data modelling and architecture
- Experience of data science techniques and methodologies, for example statistical modeling, segmentation analysis, time series analysis, predictive modeling approaches, or other data modelling
- AI/ML platform proficiency: Experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities
- Effective communication and presentation skills, able to transform complex data into clear insights
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Benefits
- Group Personal Pension Plan – 8% employer contribution and 4% employee contribution
- Life Assurance and Group Income Protection
- Private Medical Insurance – Provided by Bupa
- 25 Days Annual Leave, plus bank holidays
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