Job Title: Junior Data Analyst
Job Summary:
Reporting directly to the Data Analyst, you will support the transformation of raw data into meaningful insights that help drive informed decision-making across the organisation. In this entry-level role, you will work closely with cross-functional teams to assist in the collection, preparation, and analysis of data. With a focus on learning and development, you will contribute to reporting, visualisation, and ad hoc analysis, helping the business uncover trends and opportunities.

Responsibilities:

• Support Data Collection - assist in gathering and extracting data from various sources, ensuring accuracy and completeness.
• Data Preparation and Cleansing - help clean, organise, and transform raw data to prepare it for analysis.
• Basic Data Analysis - perform initial analysis and summarise findings using simple statistical techniques. Supporting the Data Analyst in identifying patterns and trends.
• Reporting Support - assist in the preparation of regular reports and dashboards that track key metrics and business performance.
• Data Visualisation - create basic charts, tables, and graphs to represent data clearly, using tools within Power BI.
• Ad Hoc Support - respond to ad hoc data requests from the business.
• Collaboration - work closely with the Data Analyst and cross-functional teams to understand reporting requirements and ensure timely delivery of data outputs.
• Data Quality Awareness - help identify and flag issues in data consistency or completeness.
• Documentation – assist in maintaining accurate and well-documented data flow diagrams.
• Learning and Development - stay up to date with basic data tools, trends, and technologies.
• Knowledge Sharing - share insights and findings with the Data Analyst and team to support informed decision-making and continuous improvement.

Required Skills or Training:

• Basic knowledge of SQL for querying databases and an interest in learning more advanced querying skills.
• Exposure to or willingness to learn Power BI or other data visualisation tools.
• An understanding of basic statistical concepts and data patterns.
• Awareness of Python for data handling and automation and an interest in improving skills.
• Strong attention to detail and a structured approach to working with data.
• Good problem-solving skills with the ability to ask questions and seek support where needed.
• Effective communication skills to present findings clearly and work collaboratively.
• Proactive, organised, and able to manage time and tasks efficiently.
• Willingness to learn about data governance, privacy, and ethical data handling.
• Positive attitude, team-oriented mindset, and a desire to grow within the data field.

Job Types: Full-time, Permanent
Pay: £25,500.00-£30,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• Cycle to work scheme
• Discounted or free food
• Free flu jabs
• Free parking
• Gym membership
• On-site parking
• Private dental insurance
• Private medical insurance
• Referral programme

Work Location: In perso

• Support Data Collection - assist in gathering and extracting data from various sources, ensuring accuracy and completeness.
• Data Preparation and Cleansing - help clean, organise, and transform raw data to prepare it for analysis.
• Basic Data Analysis - perform initial analysis and summarise findings using simple statistical techniques. Supporting the Data Analyst in identifying patterns and trends.
• Reporting Support - assist in the preparation of regular reports and dashboards that track key metrics and business performance.
• Data Visualisation - create basic charts, tables, and graphs to represent data clearly, using tools within Power BI.
• Ad Hoc Support - respond to ad hoc data requests from the business.
• Collaboration - work closely with the Data Analyst and cross-functional teams to understand reporting requirements and ensure timely delivery of data outputs.
• Data Quality Awareness - help identify and flag issues in data consistency or completeness.
• Documentation – assist in maintaining accurate and well-documented data flow diagrams.
• Learning and Development - stay up to date with basic data tools, trends, and technologies.
• Knowledge Sharing - share insights and findings with the Data Analyst and team to support informed decision-making and continuous improvement