41 Sales Data jobs in Sandton

You’ll be the face of our technical expertise, conducting compelling product demonstrations and technical presentations . By effectively communicating the value of our services, you'll help prospective customers understand how our solutions can solve their challenges. Building and maintaining strong client relationships is key; you'll act as a trusted advisor , guiding them through their infrastructure decisions and becoming their go-to resource.

Sales & Client Support :

Act as a technical liaison for the sales team, providing expert product knowledge and technical consultation to potential clients.

Identify up-selling and cross-selling opportunities within existing client accounts based on their technical needs and future growth plans.

Conduct product demonstrations and technical presentations for prospective customers, effectively communicating the value proposition of our data center services.

Build and maintain strong relationships with clients, acting as a trusted advisor on their infrastructure needs.

Collaborate with the sales and marketing teams to develop and execute strategies for new business acquisition.

Assist in creating proposals and technical documentation for client solutions.

Provide post-sales technical support, ensuring customer satisfaction and successful implementation of services.

What We Offer :

A commission-based structure that offers you flexibility.

Opportunities for professional growth and advancement.

A supportive and collaborative team environment.

Access to ongoing training and development resources.

Requirements : Experience :

Associate's degree in a technical field (e.g., Information Technology, Computer Science) or equivalent work experience. A bachelor's degree is preferred.

Minimum of 3-5 years of hands-on experience as a Data Center Technician, Field Engineer, or similar role.

Proven experience in a sales or customer-facing role, preferably within the technology industry.

Experience with hardware from major vendors (e.g., Dell, HP, Cisco, Juniper, etc.).

Relevant Skills :

Strong knowledge of data center best practices, including cabling standards (e.g., fiber, copper), racking, and power distribution.

Proficiency in diagnosing and troubleshooting server hardware, networking equipment, and related components.

Familiarity with network topologies, protocols (e.g., TCP / IP), and concepts (e.g., VLANs, routing).

Demonstrated ability to build rapport and establish trust with clients.

Relevant certifications such as CompTIA A+, Network+, Server+, or Cisco CCNA are highly desirable.

A passion for technology and a desire to stay current with industry trends.

Being Multilingual is an added advantage.

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.

Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.

Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L), and our Consulting services, which include Strategy, Risk & Transactions Advisory (SR&T), and Technology & Transformation (T&T).

Are you ready to apply your knowledge and background to exciting new challenges? From learning to leadership, this is your chance to take your career to the next level.

Manage multiple projects within the Data Science and Data Engineering space. Perform stakeholder and business engagement, and manage end-to-end delivery to clients by leading teams of Data Engineers and Data Scientists.

Bachelor’s Degree in Data Science, Computer Science, Engineering, or related fields.

Deliver and manage the execution of Data Engineering and Data Science projects.

Develop scalable, automated solutions leveraging Data Science and Data Engineering teams.

Develop a Business Intelligence roadmap; prioritize business insight requests to balance tactical and strategic needs.

Design and manage end-to-end Data Science and Data Engineering solutions.

Collaborate with Technology teams on data capabilities and architecture, defining requirements and priorities.

Develop and improve frameworks for team organization and quality delivery.

Support in developing product specifications, scope of work, and code of conduct documents as needed.

Implement best practice pipeline frameworks (e.g., KDD, CRISP) and deploy ML use cases in products and services.

Establish and meet SLAs and TATs for requirements.

Understand business processes, risks, and controls.

Frame client problem statements and propose data analytics or digital solutions.

Utilize industry technologies for data analysis, BI solutions, and data science/engineering tools.

Apply SDLC methodologies to solution development.

Work independently and manage multiple projects simultaneously.

Demonstrate excellent interpersonal, management, and leadership skills.

Mentor and train junior team members.

Experience in business engagement and stakeholder management.

At Deloitte, we foster an inclusive environment where everyone can thrive and be themselves. We are committed to fair treatment and respect for all employees, including accommodations for persons with disabilities. We leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of duties and responsibilities is not exhaustive. Deloitte may ask employees to undertake additional tasks reasonably within the role's scope, depending on operational needs.

Join to apply for the Head of Data Analytics role at ExecutivePlacements.com - The JOB Portal

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SUMMARY:

The

Recruiter:

Specd

Job Ref:

JHB /Yusuf

Date posted:

Monday, July 7, 2025

Location:

Johannesburg, South Africa

SUMMARY:

The Head: Data and Analytics is a strategic leadership role responsible for driving enterprise-wide data and analytics capabilities to support data-informed decision-making, innovation, and strategic growth. The role will oversee the development, implementation, and management of Data Governance, Business Intelligence, Advanced Analytics, Data Warehousing, and System Integration functions. The incumbent will lead a multidisciplinary team of data professionals and collaborate across departments to ensure data solutions align with business objectives and deliver measurable value.

POSITION INFO:

JOB DESCRIPTION INFORMATION:

Job Title: Head: Data and Analytics

Employment Type: Permanent

Work Model: Johannesburg

JOB CONTEXT:

Reporting directly to the Group Executive: Corporate Services, the Head: Data and Analytics will be the strategic brain behind the company’s data-driven transformation. In this dynamic role, you’ll lead the charge in shaping and managing our Advanced Analytics, Data Warehouse, Business Intelligence, Data Governance, and System Integration functions — all with the goal of unlocking the power of accurate, trusted data to drive smart decisions and bold strategies.

You’ll head up a talented squad of data scientists, analysts, and engineers — thinkers, builders, and problem-solvers — while collaborating closely with business leaders to craft data solutions that don’t just meet expectations but exceed them. Whether it’s influencing high-level strategy or streamlining stakeholder reporting, your work will ensure that data isn't just a byproduct — it’s a catalyst.

DUTIES AND RESPONSIBILITIES:

Data Warehousing, BI and Advance Analytics:

• Develop a cutting-edge, world class business intelligence and analytical function to support decision making, strategy formulation and stakeholder management
• Provide data to inform and guide businesses and act as an analytical powerhouse to be leveraged by critical internal and external stakeholders.
• Develop a group wide data strategy to determine and meet the data needs of the group.
• Use information, business intelligence and advance analytics to advise and inform business on issues impacting strategy and operations.
• Use data to monitor the implementation of performance management in accordance with the organizational strategy.
• Ensure that all system decisions and changes support the defined systems architecture
• Ensure that wherever possible, self - service reporting or pre-existing reports are utilized – thereby ensuring the number of requests for new reports or a new layout set are kept to a minimum.
• Review and approve BRD’s and changes that impact the analytics and data platforms to ensure that the requirements are met.
• Review and approve change requests that impact for RMA analytics and data platforms systems to ensure the correct solutions are implemented.
• Ensure changes to data warehouse, reporting and analytical platforms only impact those platforms as anticipated and planned for.
• Assist the business in the automation and optimization of processes and systems using automated BI reporting and predictive analytics.
  
  

• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Defined architecture.
• Business reporting requirements met.
• Management information dashboards developed.
• Management information dashboards updated timeously.
• Datawarehouse analytics services in synch with application systems enhancements data structure.
  
  

• Oversee the administration and management of all enterprise data.
• Establish and maintain policies to manage enterprise data to ensure compliance, security and confidentiality of data (i.e. Enterprise Data Governance Policy).
  
  

• Policies approved by EXCO.
• Compliance with policies.
• Enterprise data dictionaries defined and managed.
  
  

• Ensure that the appropriate generation, use, retention and disposal of data and information is consistent with RMA policies.
• Coordinate appropriate procedures that satisfy specified information security requirements, including legal and statutory compliance obligations with the Financial Services Board, Promotion of Access to Information Act (PAIA), Protection of Personal Information Act (POPIA) and Electronic Communications and Transactions Act (ECTA).
• Ensure correct record keeping for each data element policy, data source, data provenance, data element business name, and data element definition.
• Coordinate activities with internal/external technology owners/service providers for the purposes of managing certificates, service upgrades, analysing impact and accountability for the continuous availability of required services.
  
  

• Information security procedures approved.
• Data elements documented.
  
  

• Manage the planning and coordinating of data integration projects from design to production implementation.
• Manage the technical aspect of API and ESB development/architecture.
• Manage and maintain mission critical services and batch integrations and develop new services.
• Collaborate with all stakeholders to successfully implement the Integration Strategy to enable digital transformation.
  
  

• Implemented structured data integration between RMA systems and third-party data providers.
• Documented and implemented functional API and ESB.
  
  

• Use appropriate templates and channels to report on progress on a weekly and monthly basis.
• Adhere to deadlines and ensure accuracy and quality.
  
  

• Deadlines met Quality of deliverables Accuracy of information.
  
  

• Identify talent within the team and develop employees through effective staff management and assist them in meeting their training requirements and achieving their career aspirations.
• Assist in identifying and recruiting new staff members.
• Ensure that financial resources are used efficiently and effectively.
  
  

• Thorough understanding of database management systems.
• Thorough understanding of data warehousing, advance analytics, data lakes, business intelligence and data reporting services and systems.
• Experience in complex system integration.
• Knowledge and understanding of business strategy formulation.
• Insurance or Financial Services experience.
• Knowledge of business policies, processes and procedures, legal compliance.
  
  

• Minimum 6 years managerial experience.
• At least 5 years of experience in strategic analysis and business insights.
• Experience implementing data governance.
• Experience in Data, BI, Advanced Analytics and Data warehousing.
• Experience in system integration services.
• NQF Level 8: Honours degree in Maths, Statistics, Computer Science or IT.
• Business Management Degree (e.g. MBA) preferred.
  
  

• Compensation will be determined based on qualifications, applicable experience, and previous earnings.
  
  
  
  

• Seniority level Executive

• Employment type Full-time

• Job function Business Development and Sales
• Industries Advertising Services

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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.

As a Data Analytics Specialist, you will be at the forefront of employing leading analytical methods and technologies, ensuring that you're always working with cutting-edge tools and approaches to solve complex problems.

The purpose of the position is:

• To contribute excitedly and passionately to our client's data-driven culture, helping the business to generate meaningful value from data.
• To partner with internal teams and external clients to deeply understand their needs, and help to guide, design and build robust, innovative, analytical solutions.
• Central to the role is ensuring that all initiatives in the portfolio have measurable business value and are prioritised accordingly.

Role Description

• Engage with internal business clients with business questions, always probing for the deeper questions and needs, to find the best possible solutions for the business.
• Play a key communication role between business and technical teams to ensure business context is retained when building analytical and data-driven solutions.
• Build a deep contextual understanding of the business and the data to design and propose new solutions that could add meaningful business value.
• Work closely with the data provisioning team to ensure they can provide the reliable, consistent, and context-rich data assets that the team requires for data use cases.
• Create algorithms and build machine learning models to enhance product offerings and solve business problems.
• Create monitoring and anomaly detection systems to track model performance.
• Presentation of data science opportunities and model outcomes to a variety of stakeholders with a varied understanding of data principles.
• Management of client expectations through a high-level project plan, regular interactions, and feedback.

Qualifications & Experience

• 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).

Knowledge and Skills

• Strong data exploration, analytical, modeling, 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.

NOTE: We ONLY accept online applications. We do not consider direct applications via Whatsapp or email.

The final remuneration package offered by the employer will be determined based on market standards, considering the candidate's qualifications, skills, and level of experience. The employer retains the prerogative to provide a remuneration package that aligns with industry norms and the specific attributes of the selected candidate.

R 79000 - R 81000 - Monthly

We believe data isn’t just numbers – it’s the story of your business waiting to be told We build clever, lean, data-driven systems for humans – not just machines.

And we’re looking for a Data Analytics Engineer who gets that data is only useful when it’s accessible, understandable.

Requirements:

• Experience in the telecoms industry
• Infrastructure as code experience. (terraform and Pulumi)
• Experience working in a scale up/dynamic consulting environment
• Exposure to accounting concepts
• 5+ years’ experience in data analytics, data engineering, or related technical roles, with significant hands-on coding in Python, PySpark, Notebook 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
• Proven ability to build and deploy Data pipelines to Cloud production environments using automated CI/CD pipelines
• Strong experience with modern analytics platforms (Databricks, Delta Lake, cloud storage); experience with relational databases and data modelling is a plus. Experience in Agile/Scrum environments
• Strong experience in working with cloud-based environment (Azure, AWS)
• 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

Reference Number for this position is GZ60747 which is a contract REMOTE position offering a cost to company salary of R1.4m per annum negotiable on experience and ability. Contact Garth on or call him on to discuss this and other opportunities.

Are you ready for a change of scenery? The E-Merge IT recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the E-Merge website for more great positions.

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About The Role

FDM is a global business and technology consultancy seeking Data Analysts to work for our client within the finance sector. This is initially a 12-month contract with the potential to extend to a permanent position based in Johannesburg.

Make your mark in the financial world. Kick off your journey with an exciting project at one of South Africa’s leading financial institutions. Be part of a dynamic bank with a rich legacy of excellence, driving the future of banking through cutting-edge technology and customer-centric solutions.

If you're eager to grow, make an impact, and work with a forward-thinking team redefining financial services, this is the perfect place to start.

You are passionate about Data and AI innovation and technology, while closely collaborating with business stakeholders. If you are interested in a career in Data Governance, Data Analytics, or Data/AI Engineering, join our Data & Analytics Team and become a data pro in one of the most influential careers in the tech industry.

Where ambition meets opportunity

At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want.

Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially.

About You

Requirements:

• Strong analytical abilities, problem-solving skills, and experience in translating business problems into data-driven solutions, including handling large datasets, data validation, and statistical analysis
• Understanding of big data analysis and programming tools such as Apache Spark, Hadoop, AI
• An understanding of regulatory frameworks and risk management, including governance requirements
• An understanding of the financial services industry
• Proficiency in SQL
• Stakeholder management
• Bachelor’s degree grade 60% or above in any discipline
• Eligibility to work in South Africa
• English level B2 or higher

Why join us?

• Career coaching and access to upskilling throughout your entire FDM career
• Initial upskilling pre-assignment that has been accredited by TechSkills
• Assignments with global companies and opportunities to work abroad
• Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more
• Access to the Buy As You Earn share scheme

About Us

About FDM
We are a business and technology consultancy and one of the UK's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 4,000 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.