Hybrid Junior Data Analyst bei Techbuyer

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.