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Arqiva

Senior Data Analyst Job at Arqiva in London

Arqiva, London, Kentucky, United States

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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 £60,000 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 

Overview 

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.

The role 

• 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

The person 

• 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

Skills

• Communication Skills

• Analytical Thinking

• Data Analysis

• Data Modelling

• Data Visualisation

• Data Governance

• Problem Solving

• Continuous Improvement

• Agile Methodologies