288 Data Visualization jobs in South Africa

Join to apply for the Data & Analytics Engineer role at The WFS Group .

This range is provided by The WFS Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$8.00/hr - $0.00/hr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as “done for you sales” services to our clients. Think of a lead generation based marketing agency… But focused on sales. Put simply, our clients outsource their sales department to us and we sell their services/packages to help them scale faster than ever before while changing as many people’s lives as possible. The main verticals we service are in the online, digital marketing based community with companies that have programs that teach high paying skill sets which is referred to as “alternative education.” We sell a range of transformative programs and packages including everything from business consulting programs, to programs that teach people how to invest in real estate, learn mergers and acquisitions and many many more.

What the heck is a Data & Analytics Engineer, right! Think of it as the architect, the builder, and strategist of our sales data universe — all rolled into one. This role is the nerve center of WFS’s reporting ecosystem, making sure every number, metric, and trend we rely on is 100% accurate, trustworthy, and actionable.

You’ll be building and optimizing data infrastructure in BigQuery, fine-tuning ETL/ELT processes, designing dashboards in Looker Studio, and ensuring our sales leaders always have real-time, crystal-clear data to guide their decisions. In short: you’re the one who makes the data magic happen, so we can close more deals and scale faster than ever.

If you love clean data, beautifully efficient workflows, and turning raw numbers into gold-standard insights — you’re going to thrive here.

• You’re fluent in SQL and dream in query optimization
• You understand Python deeply
• You love taking messy, scattered data and making it flawless and reliable
• You’re excited about making dashboards so clean and intuitive that sales leaders cry tears of joy
• You enjoy building pipelines and workflows that just work - every time
• You can spot a reporting anomaly from a mile away
• You’re obsessed with accuracy, integrity, and efficiency
• You channel your inner detective to track down and solve issues buried in source data
• You get fired up about eliminating manual reporting processes
• You want to make an impact on revenue without ever having to jump on a sales call
• You’re comfortable working solo but thrive in a collaborative, high-energy culture
• You believe sales data should be actionable — not just pretty

• You’re uncomfortable working with complex SQL queries or data warehouses
• You get bored managing and optimizing ETL/ELT pipelines
• You think “good enough” is an acceptable standard for reporting accuracy
• You don’t enjoy solving data puzzles or tracking down inconsistencies
• You shy away from learning new tools or automation methods
• You’d rather eyeball data than audit it thoroughly
• You’re not interested in supporting a high-performance sales culture
• You prefer slow-paced environments with minimal change
• You think dashboards are just “nice to have” instead of mission-critical
• You still believe spreadsheets are the only reporting tool you need

• Design, maintain, and optimize ETL/ELT processes to ensure accurate, timely data flow into BigQuery
• Monitor, audit, and troubleshoot datasets to guarantee accuracy, consistency, and completeness
• Build, maintain, and enhance Looker Studio dashboards and reports for sales leadership and stakeholders
• Optimize dashboard performance and eliminate reliance on manual reporting processes
• Conduct advanced SQL analysis to identify trends, performance drivers, and process improvement opportunities
• Implement and enforce data governance and quality assurance standards
• Collaborate with Sales Ops, Integrator Team, and Sales Leadership to ensure seamless reporting alignment
• Partner with leadership to translate data insights into actionable sales strategies
• Provide input on configuration and integration of sales tech stack to ensure accurate data capture and prevent disruptions to reporting workflows
• Maintain documentation for reporting processes, pipelines, and governance standards
• Train non-technical stakeholders to interpret and leverage sales data effectively

We don’t just collect data — we weaponize it for growth. At WFS, every query you run, every dashboard you monitor, and every anomaly you catch directly fuels the success of our clients and the commissions of our sales team. You’ll have the freedom to innovate, the resources to execute, and the backing of a leadership team that actually listens to your recommendations.

Here, you’re not a “back-office” data person — you’re a core driver of our competitive edge. You’ll work with smart, driven teammates who care about excellence, speed, and results, and you’ll see the impact of your work in real-time. If you’ve ever wanted a role where precision meets adrenaline, this is it.

• Job Type: Full-time
• Pay: $8-$9 per hour
• Schedule: Monday to Friday, 9AM-6PM PST (Must be available to work US hours)
• Location: Remote

• Entry level

• Full-time

• Information Technology

• Business Consulting and Services

Main focus of the role

We are seeking a technically excellent, customer-focused Analytics Engineer to drive data integration and transformation for a telecoms analytics platform we are taking to market. This role sits at the intersection of client data environments and our internal product development efforts—requiring both business insight and technical acumen.

Your primary focus will be to gather, clarify, and deeply understand business and reporting requirements—often expressed in SQL, Excel, or ad hoc analysis. You will work closely with business stakeholders, analysts, and the data architecture team to translate these requirements into clear, actionable technical specifications.

Working as part of a collaborative team, you’ll help ensure these specifications are accurately and efficiently implemented—typically in PySpark/SparkSql based data pipelines—by supporting the development process, providing subject-matter expertise, and validating that delivered data outputs match the original requirements. Your work will be critical in ensuring that our analytics solutions are robust, repeatable, and deliver trusted results to the business

This role requires a strong analytical mindset, excellent communication skills, and hands-on experience with data transformation and integration processes.

What you’ll do

• Customer Engagement & Requirements Gathering
  • Engage directly with customers to understand their business needs and data environments.
  • Elicit, document, and validate functional and non-functional requirements.
  • Conduct workshops and interviews with client stakeholders to capture use cases and success criteria.
• Data Analysis & Integration Design
  • Analyze complex customer data sets, schemas, and data flows to assess integration needs.
  • Collaborate with data engineers and developers to design effective data ingestion, transformation, and mapping processes.
  • Validate data quality, completeness, and alignment with business requirements.
• Technical Collaboration & Delivery
  • Support the development of scalable data integration and transformation pipelines by assisting with coding, testing, and implementing solutions—primarily using PySpark, SparkSQL, and Python.
  • Translate business and analytical requirements into clear, actionable technical specifications to guide the engineering team’s implementation.
  • Contribute hands-on to codebases: write and review code, implement validation checks, and assist with the development of complex transformation logic as needed.
  • Help automate and maintain data validation and quality checks to ensure reliability and accuracy of analytics outputs.
  • Collaborate closely with the FPA team to understand financial reporting needs, ensure alignment of technical solutions with finance objectives, and validate outputs support business decision-making.
  • Work with modern data formats and platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks, etc.) to enable efficient data handling and integration.
  • Participate in solution architecture and technical discussions, collaborating on user story creation and acceptance criteria to ensure technical solutions align with business needs.
• Product & Analytics Alignment
  • Work closely with our product team to ensure that customer data is accurately reflected in analytics outputs.
  • Provide feedback on product improvements based on client needs and data insights.
  • Monitor and evaluate the effectiveness of integrated data in supporting customer decision-making.
    
    

To fly in your role, you’ll need

• 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, and SQL.Proven experience working on data integration projects (ETL, data pipelines, APIs).
• Proven ability to build and support data integration pipelines (ETL, dataflows, APIs) at scale.Ability to translate complex technical concepts into business language and vice versa.
• Strong experience with relational databases and data modelling; experience with modern analytics platforms (Databricks, Delta Lake, cloud storage) is a plus.Experience in Agile/Scrum environments.
• Track record of translating business logic and requirements into production-grade, testable code.Experience working with data analytics tools and platforms (e.g., Power BI, SuperSet, Tableau, Looker, Grafana).
• Solid grasp of data quality, data validation, and monitoring concepts.
• Strong communication skills—able to present technical logic and results to both technical and non-technical audiences.
• Experience in Agile/Scrum environments and working collaboratively with both business and engineering teams.
  

Nice to have

• Experience in the telecoms industry.
• Familiarity with the software development lifecycle and Agile methodologies
• Infrastructure as code experience. (terraform and Pulumi)
• Experience working in a scale up/dynamic consulting environment.
• Exposure to accounting concepts.
  
  

Benefits

• Working
  • Fully remote working / or from the office with daily lunch
  • Flexible working hours
  • High-spec Dell laptop
  • Money towards a keyboard of your choice, that is yours to keep
• Insurance - fully paid on top of, not out of your salary
  • Medical Aid, including Gap Cover
  • Life Insurance, with Disability Insurance and Funeral cover
• Learning
  • Learning Budget - Books or Courses - you choose how to use it
• Culture
  • People-first culture that encourages work/life balance
  • Everyone has a voice, regardless of title
  • Psychological safety
• Leave
  • 20 days annual leave
  • Paid Maternity, Paternity, Study & Moving, Conference, CSR Volunteering leave
• Long-Term Loyalty Benefits
  • 2 years - monthly budget towards a cell phone contract, uber travel vouchers or petrol card
  • 3 years – can apply for a study bursary to enhance your current and future role with us
  • 5 years - 3 additional days of annual leave
  • 7 years – a local weekend away at our cost
  • 10 years - 3 month paid sabbatical
    
    

Interested?
Send your CV to

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This is a remote position.

• Analyzes complex customer data to determine integration needs.
  
• Develops and tests scalable data integration/transformation pipelines using PySpark, SparkSQL, and Python.
  
• Contributes to the codebase through coding, reviews, validation, and complex transformation logic.
  
• Automates and maintains data validation and quality checks.
  
• Collaborates with FPA, data engineers, and developers to align solutions with financial reporting and business objectives.
  
• Participates in solution architecture and technical discussions, refining user stories and acceptance criteria.
  
• Utilizes modern data formats/platforms (Parquet, Delta Lake, S3/Blob Storage, Databricks).
  
• Partners with the product team to ensure accurate customer data reflection and provide feedback based on data insights.
  

• A Data Analytics Engineer with 5+ years of experience.
  
• Must have strong Python, PySpark, Notebook, and SQL coding skills, especially with Databricks and Delta Lake.
  
• Proven ability to build and deploy scalable ETL pipelines to cloud production environments using CI/CD.
  
• Experience with Agile/Scrum, data quality concepts, and excellent communication is essential.
  
• Cloud environment (Azure, AWS) and Infrastructure as Code (Terraform, Pulumi) experience beneficial.
  
• Telecoms industry or consulting experience, plus accounting knowledge, is a plus.
  

• J
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Who Are We Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.

Location

Even though our company operates exclusively on a remote basis, you are required to reside in Europe (continent) and have legal work eligibility within the country you will be based.

About

As the Data Analytics Lead at Lokalise, you will spearhead our data analytics initiatives and foster a data-driven culture across the company. Your leadership will ensure that comprehensive, end-to-end analytics support our product and growth strategy, empowering decision-making and innovation at every level.

This full-time, remote role demands a visionary leader passionate about leveraging data to unlock insights, optimize performance, and drive growth.

You Will

• Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning.
• Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation.
• Build and consolidate our data foundations ensuring the data analytics team’s present and future, enhancing and consolidating future analysis.
• Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business
• Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments.
• Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences.
• Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º.
• Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models.
• Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security.

You Must Have

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth.
• Strong leadership skills with experience building and managing analytics teams.
• Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels.

It will be considered a significant advantage if you bring

• Experience in a high-growth tech or SaaS environment

Our Benefits

• Competitive salary and employee stock options plan
• Fully remote and flexible working hours
• Co-working budget
• Unlimited vacation policy
• Top-notch tech equipment for your work
• Learning & Development program
• Health insurance
• Wellness benefits
• Mental health support – every employee has access to a dedicated mental health platform
• Great startup atmosphere, team spirit, and team events

We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since 2007, Scatec has acquired extensive knowledge and experience in developing, building, and operating solar, wind, hydro power plants, and storage solutions. Driven by our company values and a competent global workforce, we aim to deliver competitive and sustainable renewable energy worldwide; protect our environment; improve quality of life through innovative technology integration; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

We are currently looking for a Data Analytics Engineer in Cape Town, South Africa, to join our global team working towards our vision – Improving our future .

As our Data Analytics Engineer, you will be responsible for driving the business to make data-driven decisions and enhancing self-service Business Intelligence within Scatec.

The role involves engaging with teams across departments such as Finance, Project Development, Asset Management, HR, Solutions, and Operations & Maintenance (O&M) to understand business processes and value drivers, and to specify data requirements. You will have exposure to various levels of the data landscape, owning the end-to-end data flow, including data architecture, governance, and systems, and communicating best practices across the organization.

1. Develop, own, and maintain a central data architecture and platform/service for relevant organizational data.
2. Deliver valuable and high-quality data products to business units.
3. Expand and centralize our common business data and data models.
4. Ensure infrastructure and database optimization for improved delivery lead-time.
5. Design and implement data governance processes.
6. Build and maintain datasets for self-service reports across the organization.
7. Maintain global standard reports and datasets.
8. Train end-users in reporting and analysis tools.

1. Degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field from a technical university.
2. 4-6 years of professional experience in the energy sector, client-facing roles preferred.
3. Expertise in data engineering, building transformation pipelines using SQL and DBT.
4. Strong knowledge of data modeling, warehousing, and governance concepts.
5. Experience with Databricks, Azure.
6. Familiarity with Infrastructure as Code, DevOps, DataOps.
7. Proficiency in data integration and visualization/reporting tools such as Tableau, Power BI, and Excel.
8. Familiarity with Dynamics 365 Finance and Operations is a plus.
9. Knowledge of ML models and MLOps is advantageous.
10. Fluent in English, both written and spoken; additional languages are a plus.

All employees contribute to Scatec's vision: Improving our Future . Our core values include:

• Predictable: Clear communication and honesty.
• Driving results: Determination, proactiveness, independence.
• Changemaker: Entrepreneurial spirit, adaptability, quick learning.
• Working together: Teamwork, shared responsibilities, positive attitude.

Scatec is an innovative and ambitious company in a growing industry. We offer a challenging, dynamic, and international work environment with highly skilled colleagues committed to making a difference.

We are an equal opportunity employer valuing diversity. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, disability, veteran status, or other protected categories. Hiring decisions are based on merit, competence, and business needs.

Applications will be processed on a rolling basis.

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CambriLearn is transforming K-12 education for the digital age. As a leading online school offering internationally recognised curricula, we empower students across the globe through flexible, data informed learning experiences.

To scale our impact and improve how we use data across the business, we're hiring a Data & Analytics Engineer (skilled in full stack data science from data pipelines, modelling, deployment to insights) who will own the integrity, usability, and clarity of the data that drives our decision-making.

What You’ll Do

You’ll play a critical role in solving some of our most pressing data challenges. This role isn’t just about dashboards, it’s about fixing the root of broken data, redefining core metrics, and building the pipelines that power every team from Product to Sales to Finance.

• Design and maintain robust data pipelines (ETL/ELT) across platforms such as Salesforce, Google Ads, Meta Ads, Stripe, and CMS systems
• Perform data normalization, cleansing, transformation to align disparate datasets
• Map and integrate data from CMS, CRM, Google Ads, Meta Ads, and other platforms
• Proactively identify data gaps and quality issues and implement fixes
• Integrate AI tools into internal workflows and identify areas of the product where AI can be included.
• Define and monitor KPI's across departments
• Conduct analysist to support product, marketing, sales and other strategic decisionsInvestigate and resolve data integrity issues across products, users, conversions, and retention.
• Redefine and implement accurate business metrics (e.g. what constitutes a conversion, per subject, per class, per level).
• Build and maintain robust data pipelines (SQL + Python) to transform raw data into structured, reliable datasets.
• Design and deploy interactive Power BI dashboards that help teams make faster, better decisions.
• Collaborate across departments (Product, Sales, Marketing, Finance, Ops) to understand data needs and build scalable solutions.
• Build and document relational data models that reflect the reality of our business and customer journeys.
• Assist in implementing data governance, ownership protocols, and best practices for scalable analytics.
• Drive a company wide shift toward data transparency, consistency, and confidence in reporting.

Our Stack

We don’t expect you to know everything but you should be comfortable with or excited to learn:

• SQL (PostgreSQL, BigQuery, or similar)
• Python for scripting and transformation
• Power BI for reporting and dashboarding (bonus if you know DAX or row-level security)
• Salesforce (CRM data integration and reporting)
• Heroku hosted Ruby on Rails app (you’ll be working with its data outputs)
• AWS for content and infrastructure (S3, databases, etc.)
• Bonus: experience with DBT, Airflow, or orchestration tools for pipeline management

Who You Are

• 3–10 years of experience in Data Engineering, Analytics Engineering, or BI focused data roles
• Proven track record of solving real business problems through data
• Able to work with messy or unreliable datasets and design systems that make them trustworthy
• Collaborative and curious: you love working with different teams and asking why?
• Comfortable translating non-technical requests into scalable, accurate data products
• Obsessed with clean, maintainable, scalable systems and not one-off solutions

Preferred Educational Background

We’re specifically looking for candidates with a Bachelor’s or Honours degree in:

• Information Engineering

These degrees offer the perfect balance of technical depth, systems design, and business process understanding which is exactly what this role requires.

Why Join CambriLearn

• Make a meaningful impact on the future of education
• Join a smart, mission driven team that values autonomy, speed, and excellence
• Work from anywhere in SA (remote first)
• Help build the data foundation for a company with massive growth potential

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries E-Learning Providers

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Join to apply for the Data Analytics Engineer role at Scatec ASA

Join to apply for the Data Analytics Engineer role at Scatec ASA

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position

Currently we are looking for a Data Analytics Engineer in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future.

As our Data Analytics Engineer, you will be responsible for driving the business to make data-driven decisions and improving self-service Business Intelligence within Scatec.

The role will require to engage with teams across all departments such as Finance, Project Development, Asset Management, HR, Solutions and Operations & Maintenance (O&M) to understand business processes and value drivers to specify requirements. The role will provide exposure to different levels of the data landscape, having full ownership of the end-to-end flow of data, being responsible for data architecture, governance and systems and communicating best practices within the organisation.

Main Responsibilities

• Develop, own and maintain a central data architecture and platform/service for relevant data across the organisation
• Deliver valuable and high-quality data products to the business units
• Expand and centralise our common business data and data models
• Ensure best practice infrastructure and database optimisation for improved delivery lead-time
• Design and execute processes for ensuring data governance
• Build and maintain common datasets for self-service reports across the organization
• Maintain global standard reports and data sets
• Train end users in reporting tools and other relevant analysis tools
  
  
  
  

• Computer Science, Statistics, Informatic, Information Systems or quantitative from a Technical University level degree
• 4 - 6 years professional experience in energy sector client-facing
• Excellence in data engineering building data transformation pipelines using SQL and DBT
• Excellence in data modelling concepts and techniques for data warehousing and governance
• Experience with Databricks, Azure
• Experience with Infrastructure as code, DevOps, DataOps
• Data integration
• Ability to work with with data visualization and reporting tools, such as Tableau, Power BI, and Excel
• Familiarity with Dynamics 365 Finance and Operations is favourable
• Knowledge of ML models and MLOps a bonus
• Language: fluent both written and spoken in English, second language is a plus
  
  
  
  

• Predictable : demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Requirements

• Minimum of 5 years of experience in digital marketing analytics, tracking, and reporting.
• Proficiency in key analytics tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio.
• Proven experience in connecting analytics and tracking systems with HubSpot, Calendly, and additional third-party websites and CRMs.
• Ability to communicate directly with clients is a nice plus, but at the very least, experience in effectively communicating data insights to internal teams.
• Demonstrated commitment to personal and professional growth, with a proactive attitude towards learning and staying updated with industry advancements.

What You’ll Be Working On

Who We Are:

Single Grain is an award-winning digital marketing agency that has been dedicated to driving persistent growth for remarkable companies like Amazon, Uber, and Salesforce since 2009. We provide industry-leading services around Paid Media, SEO, Content Marketing, CRO, and more.

We are a team of digital marketers who love what we do, helping pioneers grow by empowering our clients with winning strategies that lead to faster growth. As a top digital marketing agency, we pride ourselves on staying up to date with new algorithms, technology, and trends.

Who You Are:

We are looking for a Data Analytics Manager who embodies our values of humility, hunger, and intelligence. You are a self-driven professional with a strong entrepreneurial spirit, a passion for staying current with industry trends, and an insatiable curiosity. Your exceptional time management, organizational skills, and outstanding communication abilities set you apart. You thrive in a dynamic environment and consistently display a growth mindset.

If you are a results-oriented, innovative, and growth-driven data enthusiast with a fervor for making data insights accessible to clients, consider joining our team as a Data Analytics Manager. Help us shape the future of data-driven decision-making in digital marketing.

Responsibilities:

• Mastery of Digital Marketing Analytics: Showcase a deep understanding of digital marketing analytics, tracking, and reporting. Lead strategic implementation across client portfolios.
• Tools Proficiency: Demonstrate proficiency in a suite of analytics tools, including Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio.
• Integration Expertise: Utilize your experience in connecting analytics and tracking systems with HubSpot, Calendly, and other third-party websites and CRM systems. Ensure comprehensive data collection.
• Effective Communication: Leverage your communication skills to engage with clients and collaborate with internal teams to translate complex data findings into digestible formats.
• Continuous Learning: Exhibit a strong willingness to learn and grow, staying at the forefront of industry developments and emerging tools.

Reference: CPT -KJ-1

A leadership team that values autonomy
R70 000 - R85 000

Our client, a top National Software house focused on the continuous design and development of new prototypes and products, is looking for a Senior Data Analytics Engineer/ Specialist to join their team.

• Undergraduate degree/diploma in Mathematics, Statistics, Engineering, Physics, Finance, or Economics (or similar).
• Knowledge and execution capabilities of common data structures, languages, and tools (e.g. SQL (must), Python or R (must)).
• Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP or Azure preferred).
• Understanding and interpretation of statistics and data with a foundational knowledge of regression analysis.
• An understanding (must) of Machine Learning techniques (supervised and unsupervised learning). Practical experience preferred.
• Experience working in a high-paced environment, where prioritisation is essential.
• Experience working and interacting with a variety of stakeholders including development technical, data engineers, sales, and customer experience teams.
• History delivering small to large scale analytics, data science, and business intelligence projects which require extensive collaboration across multiple teams.
• Minimum two years’ experience required. Experience in the Health Tech sector is advantageous.
• A proven track record of data mining and data pre-processing to ensure quality work delivery.
• Practical experience in BI reporting and data platforms including PowerBI (preferred), Data Studio, and intermediate Microsoft Excel (must).

• Strong data exploration, analytical, modelling, and reporting skills.
• Strong communication and people-engagement skills.
• Ability and desire to uncover the deep business questions and needs of clients.
• Keen attention to detail and desire to produce high-quality, value-adding analytics and MLOps solutions.
• Ability to take end-to-end ownership of initiatives, ensuring that adding business value is always the guiding light.
• An enterprising nature where one can identify problems or opportunities and take responsibility for the solution and implementation thereof.
• A strong demonstrated desire to learn, upskill and self-improve.
• Strong desire to learn new BI and data science techniques, tools, and methods.

R 70 000 - R 85 000 - Monthly