Junior Data Analyst- Python

The Opportunity:

Responsibilities:

• Data collection: Gather data from various sources, including databases, APIs and external datasets. Develop & Main data pipelines to ensure a steady flow of data
  
• Data cleaning and Pre-processing: Clean, pre-process and validate data to ensure its accuracy and reliability. Handle missing data, outliers, and inconsistencies effectively
  
• Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. Conduct statistical analysis to derive meaningful conclusions
  
• Reporting: Generate regular reports and ad-hoc analyses for stakeholders. Present findings and insights through charts, graphs and dashboards to technical and non-technical audiences in a clear and concise manner
  
• Data Quality Assurance: Implement data quality checks and validation processes to ensure data integrity. Monitor data pipelines for consistency and accuracy
  
• Collaboration: Collaborate with cross-functional teams, including business analysts, data engineers and decision-makers to understand data requirements and deliver insights
  
• Continuous learning: Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and Python
  

Requirements

• Proven experience of 3 years as a Data Analyst with a core focus on Python
• Proficiency in Python programming for data analysis tasks (Pandas, NumPy, etc.)
  
• Basic understanding of SQL for querying and manipulating databases
  
• Familiarity with data visualization libraries such as Matplotlib or Seaborn
  
• Experience working within a SCRUM or SAFE agile team
  
• Experience working within Jira and confluence
  
• Excellent communication skills to convey complex findings in a clear and understandable manner
  
• Ability to work independently and as part of a team
  
• Bachelor's or Postgraduate degree in a related field such as Computer Science, Data Science, Statistics, Mathematics, or a relevant quantitative discipline
  

• Experience with version control systems (e.g., Git)
  
• Exposure to machine learning concepts and tools
  
• Prior experience with cloud platforms (e.g., AWS, GCP) and ETL processes
  
• Experience working in a consulting firm or with large enterprise clients
  

Benefits

●       Competitive salary and benefits package

●       Professional development and learning opportunities to grow your skills

●       Collaborative and inclusive work culture

●       Relocation opportunity is available for the suitable candidate