Data Management Analyst

Parvana; Cape Town; Presencial; ZAR 300 000 - 520 000; Tempo integral

Resumo da oferta

Parvana in Cape Town seeks a data-focused analyst to manage data retrieval, validation and reconciliation in an in-office setting. You will coordinate data storage, auditing and quality control while engaging with analysts and the R&D team to address data-related queries.

The ideal candidate has 1–3 years of relevant experience, strong MS SQL and Excel skills, and familiarity with dashboarding. SDLC/Agile exposure and vendor coordination are a plus.

Qualificações

• A relevant tertiary qualification would be ideal (Computer Science, Data Science, Statistics, Finance, etc.).
• Data Science / SQL related qualifications would be advantageous.
• 1 - 3 years of relevant experience.
• Strong MS SQL skills and good MS Office knowledge, with dashboarding experience.
• Practical experience with financial instruments and SDLC/Agile is advantageous.
• Ability to run and check data processes while safeguarding sensitive data.
• Identify and resolve data issues using issue-tracking software.
• Clear written and verbal communication with external providers.
• Proactive, detail-oriented team player who learns quickly and challenges status quo.

Responsabilidades

• Manage daily data retrieval, validation, reconciliation, and preparation.
• Oversee data storage, auditing, control, and quality data collection.
• Respond to data-related queries and provide feedback to stakeholders.
• Maintain communication with data vendors and external providers.
• Analyse and gather requirements for system enhancements.

Conhecimentos

SQL

Data quality

Data analysis

Stakeholder communication

Attention to detail

Team player

Formação académica

Bachelor’s degree or equivalent

Ferramentas

MS SQL

Excel

Jira

Descrição da oferta de emprego

Cape Town, South Africa | Posted on 03/11/2026

Location: Cape Town | Work Type: In Office | Job ID: J107292

About our client

With a focus on Africa, China, the UK and the US, this global investment firm offers you an opportunity to be involved with a unique approach to responsible investing whilst driving performance and innovation. This client is guided by a philosophy of investing with care and seeks out top achievers who are looking to redefine and shape the future of the investment industry. Our client holds a firm belief that their work goes beyond financial gains and numbers, recognising the impact of their actions on the lives and futures of those they serve. With a specialised focus on emerging markets and a passion for Africa and China, our client offers independent advice, analysis, and reporting services to a diverse range of asset owners, investment managers, hedge funds, private equity firms, service providers, and brokers.

What you will be doing

• Manage daily data retrieval, validation, reconciliation, and preparation.
• Oversee data storage, auditing, control, and formulate techniques for quality data collection.
• Respond to data-related queries and provide feedback to key stakeholders, including analysts and the R&D team.
• Maintain communication with data vendors and external providers.
• Analyse and gather requirements for system enhancements.

What our client is looking for

• A relevant tertiary qualification would be ideal (Computer Science, Data Science, Statistics, Finance, etc.).
• Data Science / SQL related qualifications would be advantageous.
• 1 - 3 years of relevant experience.
• Strong MS SQL skills, a good understanding of Microsoft Office products, and advantageous dashboarding experience.
• Practical experience and working knowledge of financial instruments.
• Software Development Life Cycle (SDLC) and Agile environment experience are considered advantageous.
• Must be able to run and check data processes while safeguarding the integrity of sensitive data.
• Responsible for identifying and resolving data issues and tracking progress using issue-tracking software.
• Maintains communication with external service providers and communicates clearly and politely in writing and verbally.
• A proactive, detail-oriented, self-motivated team player who is a quick learner and willing to challenge the status quo.

Working Hours

• Staff work one of two alternating shifts.
• Ordinary hours comprise 7.5 hours of work plus a 1-hour lunch break.
• Overtime is required from time to time to address system or data delivery issues.

Data Management, Data Analyst, SQL, Investment, Finance, Data Retrieval