58 Data Analysis jobs in Pretoria

Join a dynamic and forward-thinking organization in the heart of Centurion, Pretoria, operating within the vibrant financial sector. Our client is a leader in providing innovative financial solutions, dedicated to delivering excellence in service and driving sustainable growth in the industry. As part of our commitment to staying ahead in a rapidly evolving market, we are seeking a talented and motivated individual to join our team as a Business Intelligence & Reporting Engineer.

Requirements:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Proven experience in data analysis, data modeling, and visualization techniques.
3. Strong proficiency in SQL is a must and proficiency in one or more programming languages (e.g., Python, R) for data manipulation and analysis is preferred.
4. Experience with Power BI, or similar data visualization tools.
5. Solid understanding of software testing methodologies, techniques, and tools.
6. Experience with testing data reporting and BI applications is preferred.

Senior Business Intelligence Analyst

Role Purpose

The Senior Business Intelligence (BI) Analyst plays a crucial role in translating business needs into actionable insights. This role involves gathering, analyzing, and interpreting data to provide recommendations that drive strategic decision-making. The Senior BI Analyst possesses a strong understanding of data warehousing, ETL processes, data visualization, and reporting techniques. They are comfortable working with various data sources and BI tools and can effectively communicate complex information to both technical and non-technical audiences.

Responsibilities and work outputs:

1. Requirements Gathering: Collaborate with stakeholders to understand business needs and translate them into specific data and reporting requirements.
2. Data Collection & Preparation: Identify, collect, and clean data from various sources (e.g., databases, CRM systems, web analytics) ensuring data accuracy and integrity.
3. Data Modeling & Warehousing: Contribute to the design and maintenance of data models and data warehouses, optimizing for performance and scalability.
4. ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to move data from source systems to the data warehouse.
5. Data Analysis & Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that can inform business decisions.
6. Report & Dashboard Development: Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to visualize data and communicate findings effectively.
7. Performance Monitoring: Monitor the performance of BI solutions and identify areas for improvement.
8. Documentation: Create and maintain documentation for data sources, ETL processes, reports, and dashboards.
9. Collaboration & Communication: Effectively communicate findings and recommendations to stakeholders at all levels, including technical and non-technical audiences.
10. Continuous Learning: Stay up-to-date with the latest BI trends, tools, and techniques.
11. Mentorship: Mentor junior analysts and provide guidance on best practices.

Key Skills:

• Data Warehousing
• Communication (Written & Verbal)
• Critical Thinking

Experience and Qualifications:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Business Analytics) or equivalent experience.
• 5-8 years of experience in business intelligence or data analysis.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Proficiency in SQL and experience working with relational databases.
• Experience with at least one BI visualization tool (e.g., Tableau, Power BI, Looker).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and as part of a team.
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) is a plus.
• Experience with scripting languages (e.g., Python, R) is a plus.
• Knowledge of statistical methods and techniques is a plus.

Location: The above-mentioned position is currently available at our office in Centurion.

All positions will be filled in accordance with our Employment Equity plan. We also encourage people with disabilities to apply.

Mid-Senior level

Full-time

Information Technology, General Business, and Analyst

Financial Services, Insurance, and Data Infrastructure and Analytics

Reference: JHB -TR-1

We are recruiting for a Business Intelligence Developer.

Minimum Requirements:

1. 5 years of proven and practical experience in developing BI solutions using the Microsoft Technology Stack.

Minimum Skills:

1. Microsoft SSRS
2. Microsoft SSAS
3. Microsoft SSIS
4. Microsoft PowerBI
5. ETL procedures

Minimum Qualifications:

1. Certification in Microsoft SQL Reporting Services, Integration Services, Analysis Services, Data Warehousing, and PowerBI.

Advantageous:

1. NQF 6 or above within the related field.

Reference: JHB -TR-1

Minimum Requirements:

1. 5 years of proven and practical experience in developing BI solutions using the Microsoft Technology Stack.

Minimum Skills:

1. Microsoft SSRS
2. Microsoft SAS
3. Microsoft SSIS
4. Microsoft PowerBI
5. ETL procedures

Minimum Qualifications:

1. Certification in Microsoft SQL Reporting Services, Integration Services, Analysis Services, Data Warehousing, and PowerBI.

Advantageous:

1. NQF 6 or above within the related field.

An important element of economic growth and transformation relates to the characteristics, determinants and behaviours of firms. Firms are the economic agents that interact at the micro level but ultimately shape aggregate economic trajectories.Firm level data has high potential for enhancing understanding of these interactions as the heterogeneous characteristics of firms are not masked.

The specific objectives of this request for research proposals are:

• To obtain policy-relevant research findings on the determinants of productivity, investment, employment, exports, profitability and output by different firms with different characteristics (incl. size, sector, ownership, export intensity, degree of competition faced, age, past behaviour, and skills makeup). Also, where possible, to examine dynamic decision making effects on outcomes.
• To obtain research findings relevant to government policy questions on the impact of tax incentives (e.g. research & development, MIDP, learnership, section 12I manufacturing) and non-tax incentives on investment, value-add, job creation, capital/labour intensity and growth.
• To obtain economic analyses that could improve policymakers’ insights on issues pertinent to base erosion and profit shifting, including but not limited to corporate leverage and structuring, interest expense in relation to earnings, and linkages between R&D expense and the creation of intangibles.
• To analyse depreciation allowances claimed by companies by asset class and/or sector, and how this relates to economic depreciation of assets.
• To obtain economic analysis that improves the understanding of tax behaviour of individuals and firms.

Researchers with successful proposals will gain access to generally inaccessible data sets located at the National Treasury, subject to agreed restrictions to preserve confidentiality. It is important to highlight that, as of this call, the data are only made available to researchers while physically on National Treasury premises in Pretoria.An inventory of potential data sets is appended to this RFRP.

Submission of proposals is done electronically using appropriate form on the left column of this page. There are three forms to select from; one for individuals, another for groups of individuals and a third one for NGOs. The deadline for submitting proposals is 29 February :59 EET. See full request for research proposals for detailed proposal submission details.

Any questions on the proposal process should be sent to 22February 2016. All queries and responses will be published on this announcement page after this date.