Graduate Data Consultant

Graduate Data Consultant

Department: Data Engineering

Employment Type: Full Time

Location: Cape Town, South Africa

Description

In this role, you’ll have the chance to work with a variety of technologies, giving you the flexibility to shape your own path in data analytics. A key aspect of the position involves experimenting with different tools and building internal capabilities that can be applied in pre-sales engagements with clients. 

We’re looking for individuals who are genuinely passionate about data and problem-solving. Whether you have a background in STEM, business, or social sciences, your skills and curiosity will make you a great fit for this role. 

What you'll be doing...

In this role, you’ll develop a broad range of skills across the entire analytics spectrum, from data integration to data science. Key responsibilities include:

• Learning new technologies and concepts as directed by the Delivery Lead
• Creating demo content and proof of concepts (PoCs) for client engagements based on briefs provided
• Building internal systems and capabilities, such as reporting tools, according to given specifications
• Working on client-facing, billable projects for Snap Analytics
• Promptly addressing any challenges or issues with the Development Lead
• Documenting new technologies for training and knowledge-sharing with team members
• Contributing to the overall team success by taking on additional tasks when needed 

Beyond these core responsibilities, you’ll also have the chance to engage in other tasks that may arise within the business, including supporting functions like finance, marketing and sales.

This role offers a great opportunity to develop a diverse skill set and advance your career as part of a small but rapidly growing team. 

What you'll need to succeed...

We’re looking for someone who is curious, analytical, and communicates openly. A passion for data is a must! Degrees in science, engineering, social sciences, or finance all align well with this role.

Desired Skills/Experience

• 2:1 university degree or higher (predicted or achieved)
• Genuine interest in data and analytics, with a strong desire to learn more about cloud technologies
• Demonstrable technical skills or a strong aptitude and willingness to learn
• A clear sense of ownership and accountability
• Observant, insightful and eager to contribute
• Excellent communication skills
• Motivated, ambitious, and able to thrive in a fast-paced environment 

Desired Technical Skills - exposure to the below is useful but not compulsory

• Exposure to Python or other programming languages
• Experience with data integration tools
• Familiarity with data modelling and database concepts
• Understanding of data warehousing
• Knowledge of data visualisation techniques and tools
• Interest in data science and machine learning