Job Title: Junior Data Analyst Job Summary: R eporting 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 - a ssist in gathering and extracting data from various sources, ensuring accuracy and completeness. Data Preparation and Cleansing - h elp clean, organise, and transform raw data to prepare it for analysis. Basic Data Analysis - p erform initial analysis and summarise findings using simple statistical techniques. Support ing the Data Analyst in identifying patterns and trends. Reporting Support - a ssist in the preparation of regular reports and dashboards that track key metrics and business performance. Data Visualisation - c reate basic charts, tables, and graphs to represent data clearly, using tools within Power BI. Ad Hoc Support - r espond to ad hoc data requests from the business. Collaboration - w ork closely with the Data Analyst and cross-functional teams to understand reporting requirements and ensure timely delivery of data outputs. Data Quality Awareness - h elp identify and flag issues in data consistency or completeness. Documentation – assist in maintaining accurate and well-documented data flow diagrams. Learning and Development - s tay up to date with basic data tools, trends, and technologies. Knowledge Sharing - s hare 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.