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Senior Data Analyst

Remote: 
Full Remote
Salary: 
72 - 72K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Degree in Computer Science or Mathematics, Strong proficiency in SQL and Python, Experience with data visualization tools, Familiarity with data warehousing and ETL processes.

Key responsabilities:

  • Lead data analytics projects
  • Develop and maintain reports and dashboards
Arqiva logo
Arqiva http://www.arqiva.com
1001 - 5000 Employees
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Job description

Job Description

Location We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office once or twice a week.

We offer

  • Up to £72,000 base salary
  • 6% pension contribution
  • Private Medical
  • 25 days annual leave
  • Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance
  • Work. Life. Smarter. Our commitment to a flexible and hybrid working culture

Purpose

Analyses datasets to derive actionable insights, trends, and reports, supporting data-driven decision-making. Cleans and prepares data, creates and manages BI dashboards, and provides ongoing performance analysis. Evaluates decision options using scenario analysis and collaborates with stakeholders to optimise business outcomes.

Accountabilities

  • Lead data analytics projects to drive strategic decision-making
  • Perform data extraction, cleaning, and analysis
  • Develop and maintain reports, dashboards, and visualisations
  • Collaborate with stakeholders to understand data needs
  • Identify trends, patterns, and opportunities through analysis.
  • Participate in data validation and quality initiatives
  • Identify opportunities for process automation
  • Act as a coach and SME for data analysis

Skills

  • Communication Skills
  • Analytical Thinking
  • Data Analysis
  • Data Modelling
  • Data Visualisation
  • Data Governance
  • Problem Solving
  • Continuous Improvement
  • Agile Methodologies

Knowledge & Experience

  • Strong proficiency in SQL for data extraction, manipulation, and analysis, as well as proficiency in Python for statistical analysis
  • Strong proficiency with data visualisation tools such as Tableau, QlikSense, or similar, including building dashboards for decision-makers
  • Familiarity with data warehousing, ETL/ELT processes, and large-scale data platforms (Snowflake, Databricks etc.)
  • Qualifications A degree (or equivalent experience) in Computer Science, Mathematics, or a related field is advantageous

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks!

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Analytical Thinking
  • Communication

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