Junior Data Analyst- Python

Job Description

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

Selection Criteria:

Essential

• 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

Desirable

• 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

Are you interested in this position?

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