Data Analyst
Role details
Job location
Tech stack
Job description
Defining Data Requirements: Work with managers to identify what data is needed and influence the development of processes and systems to collect service data.
Data Analysis : Analyse quantitative and qualitative data across the business to support evidence-based planning and decision-making. Trend Identification: Recognise, extract, and interpret data trends from large and complex datasets, expressing those trends in a business context.
Forecasting: Assist in producing business volume forecasts and conduct ongoing review and analysis.
Reporting: Produce regular and ad-hoc reports, briefings, and presentations for internal decision-makers and clients, ensuring clarity and actionable insights.
Data Integrity: Ensure completeness, accuracy, and robustness of all data reports, and work closely with IT to maintain data integrity and systems.
Contract and Invoicing Checks : Review client management information and invoicing data monthly to ensure compliance with contracts.
Data Collection & Cleaning: Gather data from various sources and preprocess it to remove errors and inconsistencies.
Exploratory Data Analysis (EDA): Use descriptive statistics and visualisations to understand data distributions and detect anomalies.
Data Visualisation: Create dashboards, charts, and reports using tools such as Tableau, Power BI, or matplotlib to communicate findings.
Business Insights: Translate data-driven insights into actionable recommendations for different business units.
Database Management: Aid the Data Analytics Manager and Data Engineer in the design and maintenance of the new Data Warehouse to ensure data accuracy and integrity.
Requirements
Degree in Mathematics/Statistics or related subject which includes formal training in data analysis (D)
Training and/or qualification evidencing writing and investigating SQL reporting scripts (D)
Previous data analysis experience (E)
EXPERIENCE AND KNOWLEDGE:
Experience using SQL (E)
IT and data analysis experience, including a good knowledge of Microsoft Software, including Excel (E) and Power BI (D)
Experience of presenting and interpreting data in a useable manner for a range of audiences (E)
Experience of strategic thinking in a business environment (D)
SKILLS & ABILITIES:
Ability to produce timely, high quality data analysis and reports
Ability to demonstrate good attention to detail
Logical decision making and a hands on approach
Ability to manage time in order to meet agreed deadlines in a demanding environment
Ability to communicate effectively with internal and external customers verbally and in writing
Confident with the ability to operate in a changing environment
Ability to work under minimum supervision and on own initiative
Problem solving
The desire to continue your personal development and skillset within the field of Data Analysis