We're looking for a Technical Analyst to help us digitise offline and manual processes, integrate and transform data from multiple sources, and design automated workflows using modern low-code and no-code platforms.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
JOB DESCRIPTION: TECHNICAL ANALYST
About Us
At Embelo, we’re dedicated to helping founders of consulting businesses start and scale efficiently. Backed by our UK-based investors and clients, we deliver exceptional client services to a growing group of UK businesses, combining technical expertise, South African spirit, and the latest in AI-powered services.
One of those is Inference Group, a fast-growing data and AI consultancy on a mission to help businesses unlock their true potential and drive sustainable growth through smarter use of data, automation, and AI-enabled solutions.
Role Overview
We’re entering our next phase of growth and building a practical, delivery-focused automation and data capability in Cape Town. We’re looking for a Technical Analyst who thrives at the intersection of data, low-code automation, and business process improvement.
In this role, you’ll work hands-on to digitise offline and manual processes, integrate and transform data from multiple sources, and design automated workflows using modern low-code and no-code platforms. You’ll play a key role in helping clients move from fragmented, manual ways of working to scalable, efficient, data-driven operations.
This is a hands-on, high-impact role suited to someone who enjoys solving real-world business problems, working closely with stakeholders, and turning messy processes and data into elegant, automated solutions.
Location: This is a hybrid role based in Cape Town (3–4 days per week in the office, 8:00–17:00).
If you’re applying from another location, please note that relocation to Cape Town would be required and arranged personally.
Key Responsibilities Include
- Analyse existing business processes and identify opportunities for digitisation and automation.
- Design and implement automated workflows using low-code and no-code platforms such as Microsoft Power Automate, Power Apps, and similar tools.
- Digitise offline and paper-based documents and integrate them into structured, searchable, and automated systems.
- Build, maintain, and optimise data pipelines and ETL processes to support reporting, automation, and downstream AI/ML use cases.
- Write and optimise SQL queries to extract, transform, and analyse data from various data sources.
- Develop simple internal applications and tools using low-code platforms to improve operational efficiency.
- Collaborate closely with consultants, engineers, and clients to translate business requirements into technical solutions.
- Document processes, workflows, and solutions clearly to support ongoing delivery and future scaling.
- Support multiple client engagements, balancing quality, delivery timelines, and stakeholder expectations.
What You Bring
We’re looking for a technically capable, delivery-minded analyst with a strong foundation in data and automation, and a track record of improving how businesses operate through technology. You’ll bring experience in some or all of the following:
- 5–6 years’ experience in a Technical Analyst, Data Analyst, Automation Analyst, or similar role.
- Strong SQL skills and experience working with relational databases.
- Hands-on experience with ETL processes, data transformation, and data integration.
- Practical experience with workflow automation tools, ideally including:
- Microsoft Power Automate
- Power Apps or similar low-code app platforms
- Other low-code / no-code automation tools
- Experience digitising manual or offline processes and embedding them into automated workflows.
- Ability to work across both technical and non-technical stakeholders, translating business needs into workable solutions.
- A structured, analytical mindset with strong attention to detail.
- Confident, credible, and comfortable communicating internally and externally.
- A relevant university degree, such as Computer Science, Information Systems, Data Science, Engineering, or a related field.
Nice to Have
- Experience working in a consulting or client-facing environment.
- Exposure to AI, machine learning, or data science projects (even if not hands-on model development).
- Experience working with Microsoft’s broader data or cloud ecosystem.
- Availability to start immediately or on short notice.
Working With Us:
At Inference Group, we’re a young and fast-growing consultancy built by people who are naturally curious and passionate about lifelong learning. If you’re driven and want to help shape the early stages of a dynamic business, we’d love to have you on board.
You’ll be part of a collaborative team working on meaningful, real-world problems — helping clients modernise their operations through data, automation, and AI-enabled solutions. We invest in our people through hands-on experience, mentorship, and ongoing learning, and we value ownership, transparency, and continuous improvement.
We’re committed to hiring future leaders who will help shape our next chapter, and we’ll invest in your growth through access to the latest technology, hands-on experience, mentorship and ongoing training and certifications. As AI continues to evolve, we promise our clients a team of people who stay ahead of the curve, equipped with the most up-to-date knowledge and skills to deliver truly innovative solutions. Our Values are:
> We Geek Out Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value. We share our wisdom and experience proudly, no egos, just pure tech passion.
> We Act Boldly, and Collaborate Openly: we explore uncharted territories, working on the new to deliver operational solutions at scale. We don’t tread over old ground. We collaborate openly with full transparency, learning from each other as a community.
> We are the Connectors: we bridge the gaps between business value, data engineering, data science and deployment. Working seamlessly as one unified team internally and externally to deliver working solutions for our clients.
> We Empower our Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions. We prioritise delivering operational success over prototypes and proof of concepts to provide long term value. We build trust.
> We Love our Work: we are proud of the work we do and take ownership of it. We work on the things we love and care about, we work with passion with people we respect.
> We are Data Jedis: we work on hard problems and aim to deliver working solutions at scale. We don’t have time for politics, backbiting, gossiping, game playing or selfish behaviour. We work as one team with a mission to deliver and we will only achieve that together.