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Pharmacy2U

Operations Data Analyst

Reposted Yesterday
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In-Office
Leeds, West Yorkshire, England
Entry level
In-Office
Leeds, West Yorkshire, England
Entry level
The Operations Data Analyst will analyze operational data, develop reports and dashboards, and provide insights to enhance business performance and customer service.
The summary above was generated by AI

Role:                                     Operations Data Analyst

Location:                            Leeds, LS15 8GB, We operate a hybrid schedule, meaning 2-3 days a week in the office based at Thorpe Park, Leeds. 

Salary:                                 £35,000 - £45,000 per annum DOE, plus up to a 10% discretionary annual bonus and extensive benefits

Contract type:                    Permanent

Employment type:             Full time

Working hours:                   37.5 hours per week, Monday – Friday - We work on a core hours principle. Our core hours are 09:30 - 16:00; you can work around these to suit you!

Do you want to work for the nation’s largest online pharmacy ensuring excellence for all our patients? We’re a market leader in the pharmacy world, with 25 years’ experience, helping over 1.6 million patients in England manage their NHS prescriptions from request through to delivery. We are Great Place to Work certified as we consider colleague experience a top priority every day, and as a certified B Corp we also meet high standards of social and environmental responsibility. Our people are fundamental to our success and ensuring we achieve our vision to be a world leading, patient-centric digital healthcare provider. We are committed to continuing to develop a positive, open and honest working environment for all.

We are seeking a highly motivated Data Analyst to join our operations data team. In this role, you will be focusing on creating and maintaining a reporting suite focusing on Operational areas of our business. This role will play a crucial part in analysing and interpreting data across multiple sites and working with multiple teams.

This role involves leveraging data to provide insights that drives operational decisions, optimise warehouse processes, enhances customer experiences, and improve overall business performance. The Data Analyst will collaborate closely with cross-functional teams, including purchasing, clinical, and operations to support each team’s objectives.

What’s in it for you?

Occupational sick pay                      

Enhanced maternity and paternity pay                        

Contributory pension 

Discounted insurance (Aviva)          

Employee discount site                                                  

Discounted gyms (via our blue light card and benefits schemes)

Employee assistance programme  

In-house mental health support                                   

Health and wellbeing initiatives      

Social events throughout the year                                

Cycle to work scheme 

Green car scheme*(subject to minimum earnings)                   

Registration fees paid (GPhC, NMC, CIPD etc)             

Long service bonus 

Refer a friend bonus                        

Blue light card                                                                 

Hybrid working

Commitment to CPD/training         

25 days annual leave increasing with service

Annual leave buy and sell scheme

Discounts & Exclusive offers at The Springs, Leeds

25% Discount & health & beauty purchases 

25% Discount on Pharmacy2U Private Online Doctor Services


What you’ll be doing?

Data analysis & reporting:

·        Analyse operational data to derive actionable insights that support business growth and enhance site performance

·        Develop and maintain dashboards and reports that track key performance indicators (KPIs) and site metrics

 Operational insights:

·        Use advanced analytics techniques to assist the purchasing and operations in achieving key business KPIs

·        Analyse the existing operational procedures and identify opportunities for enhancing them to increase the service offered to customers

·        Provide operational forecasts for any new changes and report the finding to any area of the business that may be impacted

 Data Visualization and Reporting: 

·        Create dashboards and visualizations to communicate insights to stakeholders clearly and effectively

·        Translate complex data into actionable business strategies for cross-functional teams

 Stakeholder Collaboration: 

·        Act as a data partner to the purchasing team, providing analytical support for operational decisions and reporting

·        Work closely with operations to align insights with broader business strategies

·        Present data-driven findings and recommendations to non-technical stakeholders, bridging the gap between data and actionable strategy in a clear and compelling way

 Data quality & governance: 

·        Ensure data integrity, accuracy, and consistency by implementing best practices in data governance and management

·        Work with data engineering teams to optimise data collection, storage, and retrieval processes to support efficient analysis

 Insights and reporting

·        Develop and maintain automated dashboards to track KPIs, delivering clear insights to stakeholders

·        Analyse variances between actuals and forecasts, identifying key drivers and trends to inform future strategies

 Continuous improvement: 

·        Stay updated on the latest trends in data analytics, eCommerce, and the pharmacy industry to identify opportunities for process improvement and innovation

·        Recommend new tools, technologies, and methodologies to enhance data analysis and reporting capabilities 


Who are we looking for?

·        Bachelor’s or master’s degree in related field

·        Expertise in Power and SQL, and other data visualisation and reporting tools (Tableau/Looker)

·        Experience building and maintaining automated dashboards and reports in Power BI, Tableau or Looker

·        Hands-on experience using SQL for data extraction, transformation, and analysis

·        Experience with data modelling and creating reusable data pipelines for reporting

·        Experience analysing large and complex datasets to identify operational inefficiencies or business opportunities

·        Prior involvement in developing forecasting models (e.g., demand forecasting, workload capacity planning)

·        Experience measuring and improving KPIs related to service levels, accuracy, and turnaround times

·        Involvement in root cause analysis for operational issues and recommending corrective actions

What happens next?

Please click apply and if we think you are a good match, we will be in touch to arrange an interview.

Applicants must prove they have the right to live in the UK.

All successful applicants will be required to undergo a DBS check.

Unsolicited agency applications will be treated as a gift.

#LI-RW1


Top Skills

Looker
Power BI
SQL
Tableau

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