Senior Data Analyst

3 weeks ago

Pretoria, South Africa OLP Full time

Job Position: Senior Data Analyst

Ref: 4671

Location: Pretoria

**Salary**: R57 000 to R67 000 per month commensurate with qualification and experience

Closing date: 3rd April 2024

Qualifications / Requirements:

- 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
- Working experience: minimum +4 years hands-on experience:

- 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
- Minimum of 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 such as 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
- General Behavioural Attributes:

- Results Driven
- Value Orientation
- Analytical thinking
- Professional
- Ability to multitask
- Assertiveness
- Customer service orientation
- Sound communication skills at all levels
- Collaborative and consultative style
- Ability to work under pressure
- Relationship building for influence
- Team working
- Good planning and organizational skills
- Foresight/ forward-thinking
- High degree of emotional intelligence
- Resilience
- Able to work effectively on own if needed

Key Performance Areas:

- Data Processing and Data Quality:

- Source relevant data from various databases, models and stakeholders internal and external to the business
- 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 (standard operating procedures) of relevant stakeholders
- Continuously strive to implement automated methods of data collection that adhere to data integrity standards
- Perform relevant ETL processes on large-scale data in an Azure environment
- 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 requirements
- Export and deliver data in various formats as per the objectives of the data processing request
- Implement best practices for data validation and quality control
- 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
- 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 time

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