Data Analyst
6 days ago
We are seeking a highly skilled Data Analyst to join our team at Affinity Water. As a Data Analyst, you will play a crucial role in driving data-driven decision-making and transforming complex data into actionable insights.
Key Responsibilities- Data Analysis: Understand business requirements to identify data sources and support with extract and transform activities.
- Data Quality: Clean and reprocess data to ensure readiness for analysis.
- Exploratory Data Analysis: Perform exploratory data analysis to understand trends, patterns, and anomalies.
- Data Collection: Collect, clean, and prepare data from structured and unstructured sources for analysis.
- Data Interpretation: Analyse, interpret, and report data to both technical and non-technical stakeholders.
- Data Visualization: Create data visualisations and storytelling to represent data findings clearly and effectively.
- Collaboration: Collaborate with the Data Governance Lead, business stakeholders, and other roles to build data management, data governance, and data quality assurance.
- Insight Generation: Provide insights and designs for Data Engineers and Performance Insight Analysts.
- Ad-hoc Analysis: Undertake ad-hoc data analysis to support business decisions.
- Professional Development: Continuously develop personal skills to stay updated with the latest trends, tools, and techniques in data analysis.
- Technical Skills: Comprehensive knowledge of SQL that can be practically applied, proficient in tools such as SQL, Python, and R for data manipulation and analysis.
- Business Acumen: Strong understanding of UI/UX design concepts, working understanding of Data Protection 2018 requirements.
- Communication Skills: Excellent communication skills, flexible and a team player, self-motivated with a positive approach.
- Organizational Skills: Strong organisational skills and experience in prioritising work to meet project deadlines.
- Knowledge and Experience: Working knowledge of Data Analysis, Data Governance principles, Data Quality, Data Warehousing, and Information Governance, experience with enterprise-level data infrastructure and knowledge of ETL principles.
- Competitive Salary: Salary circa £50-60,000 dependant on experience.
- Annual Leave: Annual leave 26 days, plus a celebration day, plus bank holidays, rising with length of service.
- Pension Scheme: A generous pension scheme that doubles the contributions you make, up to a maximum of 12%.
- Wellbeing Centre: Access to our Wellbeing Centre with support for looking after your physical and mental health.
- Hybrid Working: Hybrid working: Improve your home-work balance with the opportunity for hybrid working.
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