Data Analyst

GLL
Manor Park, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Manor Park, United Kingdom

Tech stack

Microsoft Excel
Data analysis
Big Data
Databases
ETL
Python
NumPy
Power BI
SQL Databases
Pandas
Scikit Learn
Data Pipelines

Job description

We are currently seeking a talented Data Analyst to join our team. Reporting to the Business Insight Manager, you will play a crucial role in collecting, analysing, and interpreting complex data to provide valuable recommendations for enhancing customer engagement, increasing revenue, and improving operational efficiency.

Your main responsibilities will include:

  • Designing, implementing, and maintaining data pipelines to automate data collection, processing, and storage.
  • Collecting, cleaning, and organising large datasets from various sources, including databases, CRM systems, and Excel files, using ETL processes.
  • Applying statistical techniques to analyse and interpret data, identifying trends, patterns, and relationships.
  • Creating and maintaining interactive dashboards and reports that visually showcase your insights in a compelling manner.
  • Collaborating with cross-functional teams to solve specific business problems and drive results.
  • Staying up to date with new developments in data analysis and technology, while ensuring compliance with relevant UK regulations.

Requirements

Do you have experience in SQL?, * A strong background in mathematics, statistics, or a related field.

  • Experience with data analysis tools and software such as Excel, SQL, Power BI, and Python.
  • Knowledge of Python analytical frameworks such as pandas, NumPy, and scikit-learn.
  • Strong knowledge in ETL and data pipelines.
  • Excellent problem-solving, communication, and project management skills.
  • Experience in the leisure or retail industry is a plus.

Benefits & conditions

In return for your hard work and dedication, we offer a competitive salary package and a comprehensive benefits package that includes the following perks:

  • Discounted membership at our leisure centres.
  • Discounts across thousands of retailers (GLL Extras).
  • A fantastic pension schemes.
  • 25% off Red Letter Days.
  • 25% off Buy A Gift.
  • 20% off GLL spa experience treatments and associated products.
  • Ride to work scheme.
  • Free eye tests and discounted glasses.
  • The opportunity to join the GLL Society, have a say in how we are run, and participate in associated social events.
  • Exclusive discounts on our villas in Portugal.
  • Exclusive discounts on our Ski chalets in Bulgaria.
  • Health assurance.
  • Career pathways and professional development opportunities, including training with practical and theoretical elements.

Don't miss this exciting opportunity to be part of a team that is making a real difference in the public leisure industry and communities, all while being rewarded for your hard work. Apply today and let's turn data into success together!

To apply, please submit your CV, along with a cover letter highlighting your relevant experience and why you are interested in joining GLL. We appreciate all applications, but only shortlisted candidates will be contacted for further steps.

GLL is an equal opportunity employer committed to diversity and inclusion. We encourage applications from candidates of all backgrounds and experiences.

About the company

Are you an analytical mastermind looking for an exciting new challenge? Join us at GLL, the UK's largest Public Leisure Operator and a charitable social enterprise that is committed to making community services and spaces better for everyone! At GLL, we take pride in providing access to quality community leisure and fitness facilities at an affordable price. We have been honoured with prestigious awards, including the Social Enterprise Mark and the Prime Minister's Big Society Award, as recognition of our dedication to making a real difference in the communities we serve.

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