Senior Data Analyst

Posted 16 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: South Africa

🔍 Industry: Retail

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLData AnalysisData MiningTableauData visualizationData modelingData analytics

5+ years (preferred 8+ years) of proven experience as a Data Analyst or in a similar analytical role.
Strong proficiency in SQL for data extraction and manipulation.
Strong proficiency with data wrangling and cleaning techniques.
Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
Knowledge of statistical analysis techniques and tools (e.g. Python, R, Excel).
Ability to interpret complex datasets and communicate insights in a clear and concise manner to various audiences of varying seniority.
Experience leading and mentoring junior data analysts and other team members
Experience contributing to and shaping internal data analytics standards and best practices.
Strong written and verbal communication skills, with the ability to present data findings to non-technical audiences.
Strong problem-solving and critical thinking skills and the ability to work with cross-functional teams to deliver results.

Gather and integrate data from multiple sources and ensure that it is clean, accurate, and reliable for analysis.
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
Create and maintain clear, effective reports and dashboards to communicate insights to cross functional stakeholders at various seniority levels.
Collaborate with data engineers to understand the data architecture and ensure seamless data access, quality, and transformation pipelines. Collaborate with data scientists to interpret model results and inform business decisions.
Translate complex data findings into actionable business insights and recommendations for various stakeholders.
Provide ad-hoc data analysis support for specific business queries or one-off projects.
Understand business processes and shape how data analysis contributes to strategy and operations.
Lead the process of understanding business requirements and translate these into technical deliverables.
Develop and enforce internal data analytics standards and best practices.
Serve as a technical leader, coach and mentor for junior team members and adjacent data and engineering teams.
Lead end-to-end data analytics projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality control and stakeholder management.
Contribute to the development of the IOB data strategy.