Senior Data Analyst
Hire Resolve
- Centurion, Gauteng
- Permanent
- Full-time
- Data Processing and Data Quality
- Source relevant data from various databases, models and stakeholders internal and external.
- Ensure absolute data integrity in the collection, analysis and interpretation process.
- Adhere to any relevant business rules that govern the data collected.
- Ensure that relevant data are collected daily / weekly / monthly as prescribed by the SOPs
- Clean and pre-process the collected data to enhance data integrity, quality and consistency.
- Aggregate data according to prescribed methods in order to meet specific business
- Dashboard Development and Presentation
- Build interactive PowerBI dashboards tailored to specific business needs.
- Synthesize current business intelligence or trend data to support recommendations for action, forecasting and/or projections.
- Present data insights and findings to stakeholders in a clear and understandable manner.
- Understand and propose best statistical analysis methods relevant to specific business needs.
- Translate data into actionable information for informed decision-making.
- Provide guidance to relevant stakeholders where needed on the solutions provided.
- Provide insights that drive business value in strategic decision making.
- Conduct timeously follow-up with relevant stakeholders to confirm if needs are met.
- Stakeholder Collaboration and Requirements
- Consult with relevant stakeholders and managers to understand the needs, goals and strategic objectives that drive the analysis requests.
- Organise insights into agreed format for business, such as monthly reporting, daily tracking etc.
- Work closely with business stakeholders to gather data requirements.
- Collaborate with stakeholders to understand and incorporate their requirements into the dashboards.
- Maintain open communication channels to address stakeholder feedback and evolving data requirements.
- Maintenance, Support, and Documentation
- Take responsibility for the ongoing maintenance and optimization of data solutions.
- Collaborate with data engineering and other relevant teams to address technical issues, ensure system stability, and provide timely support.
- Document data processes, methodologies, and best practices for team reference and knowledge sharing.
- Create and maintain documentations including requirements, design and user manuals as needed.
- Mentor and assist junior team members in their roles and provide guidance on best practices
- Bachelor’s Degree in a relevant quantitative field (e.g., Data Science, Engineering, Statistics, Computer Science). NQF 7.
- Additional Certifications in Azure environment would be advantageous.
- Minimum of 4 years of relevant experience in data analytics, other relevant fields will be considered such as data science, data engineering, machine learning or BI development.
- At least 2 years in senior data analyst role advantageous
- A working knowledge and understanding of the following:
- Python, DataBricks, PySpark, Azure, SQL, PowerBI, and GIS.
- Experience in other similar cloud services will be considered.
- Strong hands-on experience with ETL processes and data aggregation methods.
- Excellent analytical and problem-solving skills, with the ability to easily determine best statistical analysis methods on large and different datasets.
- Ability to translate business needs into data-driven solutions, and then to present it with the relevant business acumen to internal and external stakeholders.
- Effective communication and collaboration abilities to work closely with cross-functional teams.
- Detail-oriented mindset with a commitment to delivering high-quality, actionable insights.
- Experience in the Telematics or automotive industry is a plus.
- Technologies Experience: Working experience in a cross-section of the following technologies (recent 2 years) is required:
- Project Participation: Agile frameworks like Scrum or Kanban.
- Programming: Python (Pandas, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, GeoPandas), Excel.
- Cloud data: DataBricks (PySpark, SQL, NoSQL), PowerBI.
- Geospatial: QGIS is advantageous.
- Maths and Statistics: Statistical techniques and hypothesis testing.
- Salary: negotiable
- Salary: negotiable.
- Our client is offering a highly competitive salary for this role based on experience.
- Apply for this role today, contact Carmen Schafer at Hire Resolve or on LinkedIn
- You can also visit the Hire Resolve website: