Information Analyst

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