Job Description: Responsibilities, Qualifications, and Necessary Skills
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Duties & Responsibilities
Internal Processes:
- Gather information from various sources, analyse results and interpret patterns and trends.
- Once data has been gathered and interpreted, report back what has been found in an easily accessible and accurate manner, which supports consistent and informed operational, tactical and strategic business decisions.
- Create detailed specifications for data sources, data flows, data transformations, data storage and reporting.
- Contribute to data collection cleaning and analysis processes.
- Collaborate with the data analysis team to develop analytical models and insights.
- Aid in interpreting data trends and patterns to inform strategic decision making.
- Bring fresh perspectives and innovative solutions to tackle data challenges.
- Foster a collaborative team environment focused on excellence in data analysis.
- Assist in documenting and presenting analysis results and recommendations.
- Aspiring data analysts keen on unraveling complex datasets and extracting meaningful insights.
- Analytical thinkers are adept at translating data into actionable recommendations.
- Effective communicators who thrive in collaborative team settings.
- Detail-oriented individuals excelling in fast-paced analytical environments.
- Enthusiastic learners committed to honing their skills in data analysis.
Engage with clients in a client-centric manner:
- Resolve client queries within agreed timeframes.
- Provide authoritative, expertise and advice to clients and stakeholders.
- Build and maintain relationships with clients and internal and external stakeholders.
- Deliver on service level agreements made with internal and external stakeholders and clients.
- Make recommendations to improve client service within area of responsibility.
- Participate and contribute to a culture which build rewarding relationships, facilitates feedback and provides exceptional client service.
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Competencies
Skills
- An affinity for data analysis
- Strong research skills
- High attention to detail, accuracy, and efficiency in completing tasks.
- Exceptional organizational skills
- Self-motivated and high level of initiative
- Problem Solving
- Pay strict attention to detail
- Ability to interact and communicate effectively both orally and in written correspondence/ reports.
- Ability to maintain confidentiality.
- Ability to assimilate and summarize information.
- Ability to analyse information and conclude.
- Technical competency in Microsoft Office Suite (WORD, EXCEL).
- Ability to create, format and develop analytical spreadsheets.
- Ability to research and use AI tools and programs
- Demonstrates personal accountability and urgency in completing assignments and achieving results
Requirements
Experience and Qualifications
- Completed Tertiary Qualification in any Technology related field (Degree), Data Science, Statistics Computer Science, Information Science, Mathematics or a related field
- Proficiency in data analysis tools and programming languages (e.g. Python R SQL) highly valued.
- Computer Literacy (use of MS Office suite – Outlook, Word, Excel, PowerPoint)
- Familiarity with statistical techniques data visualization and database management advantageous.
- Some initial industry experience is a big plus.
- Must be a South African Citizen
- Must be between the ages of 18 and 30.
- Not be registered on any other internship or learnership
- Must be currently unemployed
- Must have no criminal record
- Not be studying at any other institution
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