Senior Operational Data Analyst at Boots
Nottingham, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

29 Apr, 25

Salary

0.0

Posted On

30 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Python, A/B Testing, Analytics, Variance Analysis, Agile Project Management, Sql, Sustainability, Models, Output, Alteryx, R, Programming Languages, Product Quality

Industry

Information Technology/IT

Description

SUMMARY

Job Reference: 247715BR
Job Reference: 2 4 7 7 1 5 B R
Nottingham Support Office
Permanent
37.5 Hours
Job Title: Senior Operational Data Analyst
Location: Nottingham
Contract: Perm
Recruiter: Noaman Hussain

Become a subject matter expert for part of the business and support the business with driving change, commercial decisions through data analysis, reporting and insights, and drive on customer self-serve capabilities.

  • Work with the business to understand the business and deliver reporting, analytics, and insight expectations
  • Build, maintain, and manage stakeholder relations across business functions
  • Perform data ETL from various sources / systems into Power BI / Alteryx
  • Working in an Agile manor provide accurate, cross business functions aligned outputs
  • Support maintenance of live infrastructure for data, reporting and analytics
  • Drive capabilities development while instilling a self-serve culture
  • Show out of the box thinking and eye for opportunities when looking at potential problems
  • Support the Analytics manager to deliver long term business objectives and support with development of the tea
Responsibilities

ABOUT THE ROLE

Our Operational Analytics team supports the business to make smarter data-based decision. We focus on agile working, continuous improvement, and personal development. As the business becomes more focused on data and technology, we evolve too with more complex data utilisation and providing analytics-backed value.
Understand the business as a specialist and support the business with driving change, commercial decisions and supporting the business to evolve backed by a data driven approach. Delivering business needs and requirements to be able to provide different outputs. e.g. Data, Reporting, Analytics, Insight etc. Utilising problem-solving mindset and technical expertise in tools such as Power BI, Azure DataBricks, etc.

Become a subject matter expert for part of the business and support the business with driving change, commercial decisions through data analysis, reporting and insights, and drive on customer self-serve capabilities.

  • Work with the business to understand the business and deliver reporting, analytics, and insight expectations
  • Build, maintain, and manage stakeholder relations across business functions
  • Perform data ETL from various sources / systems into Power BI / Alteryx
  • Working in an Agile manor provide accurate, cross business functions aligned outputs
  • Support maintenance of live infrastructure for data, reporting and analytics
  • Drive capabilities development while instilling a self-serve culture
  • Show out of the box thinking and eye for opportunities when looking at potential problems
  • Support the Analytics manager to deliver long term business objectives and support with development of the team

These are the essential skills or experience needed to succeed in this role.

  • Advanced knowledge and technical experience with Power BI reporting and analytics (along with other MS Packages e.g. Power Automate)
  • Intermediate working knowledge of Azure DataBricks and programming languages like Python, SQL, etc…
  • Knowledge of statistical, financial and commercial analytics techniques e.g. a/b testing, mix variance analysis, etc..
  • Experience of data modelling to assess profitability and impact analysis
  • Experience of turning various data sets into outputs to drive commercial value
  • Experience of organising and setting up data for advanced analytics models
  • Stakeholder relationship management
  • Curious, analytical problem-solving mindset
  • Commercial acumen to understand raw data and present the story as output
  • Ability to map processes and document data and models/reporting
  • Be able to simplify and explain, complex technical models and outputs to key business stakeholder
Loading...