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Information Analyst

Business Unit:  Sales & Distribution
Function:  Data Analysis
Date:  1 Nov 2025

Discovery | Sales and Distribution

 

Information Analyst - Associate Specialist Level

 

About Discovery

 

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

 

About Discovery Sales and Distribution

 

In Discovery Sales and Distribution, defying gravity is part of our everyday work. We’re a dynamic team of passionate individuals who thrive on pushing boundaries, embracing the impossible, and tackling challenges that have never been done before. Our vibrant environment is driven by a shared commitment to Discovery’s core purpose, values, and ambition.

 

We work across multiple distribution channels and all Discovery products, delivering innovative solutions and impactful projects that shape the future of our business. Whether it's through strategic marketing initiatives or breakthrough sales strategies, we strive for excellence in everything we do—because here, ordinary is never enough.

 

Key Purpose of the role

 

To enable data-driven decision-making by transforming complex data into actionable insights through analysis, reporting, and visualization. The Information Analyst ensures the accuracy, consistency, and accessibility of management information while maintaining comprehensive documentation of data processes, methodologies, and reporting standards. The role requires someone who can work effectively under pressure, manage multiple priorities, and deliver high-quality outputs within tight deadlines, all while maintaining a strong focus on detail and data integrity. This position is critical in bridging technical data systems with business objectives to support strategic and operational goals.

 

Areas of responsibility may include but not limited to:

 

· Gather, clean and validate data from multiple internal and external sources.

· Analyse data to identify trends, patterns, and anomalies that inform business decisions.

· Design, develop, and maintain dashboards and reports using tools such as Power BI, Excel and other reporting and visualization tools that the company utilizes.

· Collaborate and interact with the different product houses, MIS teams and other business units to understand data needs and deliver tailored insights.

· Provide ad hoc analysis and reporting as requested by stakeholders.

· Create and maintain comprehensive documentation of data sources, transformation logic, reporting methodologies, and business/technical definitions and requirements including SOP’s, to ensure transparency, consistency, and alignment across data initiatives.

· Facilitate secure data exchange by providing SFTP support to stakeholders, including logging access requests, managing permissions, and delivering user training to ensure effective and compliant platform usage.

· Support the development and optimization of the MIS team, including data pipelines and automation.

· Train users on interpreting reports and using self-service tools where applicable.

· Compile and present data-driven reports that summarize key findings and deliver actionable insights to support informed business decision-making.

· Ensuring DLP principles are applied, and end users and other MIS stakeholders/recipients align with the Discovery Group DLP standards.

· Work with other departments/stakeholders to understand their data needs to guide them on what data to extract and provide insights that support their goals.

· Provide proactive support to the Managers by assisting with project coordination, reporting, and team communication, while also collaborating with cross-functional teams to ensure alignment on data initiatives and business objectives.

· Work with project teams in order to deliver on the MIS component on Discovery projects within the project timelines.

· Ensure timely delivery of outputs by meeting deadlines and fulfilling stakeholder requirements.

· Provide feedback to management/stakeholders regarding reports delivered and planned activities for the following week on a regular basis.

· Attend to maintenance of reports/dashboards which includes modernizing the report in line with best of breed practices.

· Research and familiarise yourself with best of breed practices pertaining to MIS environment.

 

 

Key outputs may include but not limited to:

 

 

· Data coordinating and analysis on information retrieved/received.

· Produce technical specifications for MIS/business requirements.

· Obtain the relevant/required data from other Discovery stakeholders in order to meet and fulfil MIS requirements.

· Create and maintain reports that are required by various parties.

· Ensuring quality of delivery.

· Assist and work closely with all stakeholders while business relationships.

· Compiling and maintenance of daily, weekly, and monthly reports.

· Compiling and maintenance of ad-hoc reports for relevant teams.

· Writing necessary SQL scripts for extracting data to support any required needs.

· Compiling necessary Power BI dashboards to support any required needs, this includes the creation and maintenance of these dashboards.

· Publish and maintain a list of approved production report/dashboards across Sales and Distribution.

· Documentation of data sources, data linage and business/technical definitions and requirements.

· Producing operational reporting and where necessary specifying new reporting requirements. Example cases: Cognos reports, Excel reports, SQL reports, and Power BI dashboards.

· Review the functional requirements with the client, using appropriate formats such as presentations and walk-through discussions.

· Delivering within agreed timelines and SLA’s.

 

 

Competencies

 

 

The successful candidate will be required to display the key competencies but not limited to:

· Strong analytical and data modelling skills.

· Good written and verbal communication skills and ability to build relationships with key stakeholders.

· Above average ability to work with, analyse, and report on data.

· Ability to source data from both structured and unstructured sources.

· Ability to work well under pressure and in conditions of change.

· A team player who can work independently and within team structures when required to do so with minimum supervision.

· Ability to multi-task and to manage workload.

· Logical, organized and structured.

· High level of attention to detail.

· Resilience, enthusiasm, energy, and drive.

· Positive, can-do attitude.

· Ethical and able to maintain confidentiality and manage boundaries.

· Aligned to Discovery values and core purpose.

· Analysis, judgment, and problem-solving skills essential.

· Planning and organisational skills must be well honed.

· Must be able to control own work effort.

· Tolerance of Stress.

· Must display tenacity and drive to accomplish tasks.

· Must be able to work and manage deadlines.

· Ability to present and interpret reports.

· Ability to follow instructions from their manager.

 

Technical Skills:

 

· Advanced proficiency in SQL, Excel, and data visualization tools.

· Experience and understanding working with star/snowflake schemas, fact and dimension tables.

· Experience with data warehousing and ETL processes is a plus.

· Excellent communication and presentation abilities.

· Basic knowledge of Git for managing code and collaboration.

· Strong analytical and problem-solving skills.

· Attention to detail and a commitment to data quality.

· Understanding of data cataloguing, lineage, and metadata management.

 

Education and Experience:

 

Qualification

 

· Matric with maths (Essential)

· Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Statistics, or a related field. (Essential)

· Postgraduate degree (simply an advantageous)

· Relevant SQL Certification (e.g., Oracle Database SQL Certified Associate, MySQL Developer Certification, PostgreSQL Certification, or equivalent)

· Data Visualization Certification or Proficiency (e.g., Microsoft Certified: Power BI Data Analyst Associate, or demonstrated expertise in tools such as Power BI, Tableau, or Qlik).

 

 

Experience

 

 

· Minimum 2-5 years experience in SQL and advanced Excel functions

· Minimum 4-5 years experience in data visualization tools (e.g., Power BI, Tableau, etc).

· Minimum 4-5 years of experience in a data analysis, MIS, or business intelligence role

 

 

 

 

 

 

 

EMPLOYMENT EQUITY   
                             
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

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