1,530 Analytics Specialist jobs in South Africa

Data Analytics Engineer/ Specialist Reference: CPT005160-KJ-1 A leadership team that values autonomyR70 000 - R85 000 Duties & Responsibilities 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. 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 Power BI (preferred), Data Studio, and intermediate Microsoft Excel (must). Knowledge and Skills 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. Package & Remuneration R 70 000 - R 85 000 - Monthly #J-18808-Ljbffr

Data Analytics Engineer/ Specialist Reference: CPT005160-KJ-1 A leadership team that values autonomyR70 000 - R85 000 Duties & Responsibilities 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. 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 Power BI (preferred), Data Studio, and intermediate Microsoft Excel (must). Knowledge and Skills 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. Package & Remuneration R 70 000 - R 85 000 - Monthly #J-18808-Ljbffr

Data Analytics Engineer/ Specialist

Reference: CPT005160-KJ-1

A leadership team that values autonomy
R70 000 - R85 000

Duties & Responsibilities

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.

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, 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.

Package & Remuneration

R 70 000 - R 85 000 - Monthly

#J-18808-Ljbffr

Data Analytics Engineer/ Specialist Reference: CPT005160-KJ-1 A leadership team that values autonomyR70 000 - R85 000 Duties & Responsibilities 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. 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 Power BI (preferred), Data Studio, and intermediate Microsoft Excel (must). Knowledge and Skills 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. Package & Remuneration R 70 000 - R 85 000 - Monthly #J-18808-Ljbffr

Reference: PTA002937-CB-1

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.

Duties & Responsibilities

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.

Package & Remuneration

R 79000 - R 81000 - Monthly

#J-18808-Ljbffr

Applicants must have the following requirements:
Must have a Bachelor’s Degree in Computer Science, Information Systems, or BA. br>Must have a least 2 years of experience with Power BI Development and reporting.
Must have experience with DAX in Power BI.
Must be proficient in SQL or PostgreSQL for data manipulation and analysis.
Must have excellent communication skills to effectively present insights to technical and non-technical stakeholders in both English and Afrikaans. (verbal and written).
If you don't hear back from us within two weeks, please consider your application unsuccessful.

Reference: PTA002937-CB-1 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. Duties & Responsibilities 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 Power BI (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. Package & Remuneration R 79000 - R 81000 - Monthly #J-18808-Ljbffr

Qualifications:

• Bachelors degree in IT or Computer Science or Business Analytics.
• Any business studies will be advantageous.

Experience:

Experience in any or all the following:

• Environmental.
• Safety.
• Health.
• Human Resources.
• Finance.
• 5 Years plus experience, preferably in the Steel manufacturing Industry/ Heavy Manufacturing
• Strong computer skills (Excel, SAP, PowerPoint)
• Good experience with SQL programming and data analytics is mandatory.
• Experience with Power BI will be advantageous and including DAX expressions.
• Experience with Data Extract, transform and load will be advantageous.

Personal Attributes:

• Strong Reporting and Analytical skills,
• Interest to learn and apply new analytical and automation tools (Power Bi, Power Pivot, SQL, Power Automate and advanced Excel).

Responsibilities:

Working inside the Business Analytics team to extract information, develop models & generate knowledge, issue reports and automate output for:

• Commercial-related performance, trends and analysis.
• Support to other functions in the Business Analytics division (including Finance, procurement, compliance and commercial)
• Support to optimize the functions of the Commercial team.
• Coordinating efforts in the team to support other functions such as contract compliance, development and other.

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A strategic, solution-driven Senior Data Analytics Specialist is required for our IT Department in JHB Head Office.

Duties & Responsibilities

• Data Analysis Strategy
• Data gathering and analysis
• Data integrity
• Business partnering
• Project management

Desired Experience & Qualification

Experience 

• 3-5 years of data analytics experience, preferably in a large company
• Financial Analysis and deep understanding of data extraction and manipulation of data techniques.
• Proficient in Power BI, Tableau and SQL.
• Proficiency with building predictive models in a suitable programming language, as well as proficiency with Microsoft applications. Exposure to Machine Learning programs (ie. MS Azure ML)
• Highly skilled at simplifying complex data into simple written analysis including the use of visual representations of data outputs.
• Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve for defined business problems.

Qualification

• Bachelor's or Master's degree in a related field such as Statistics, Mathematics, Computer Science
• Distribution, Transport & Logistics
• FMCG & Supply Management

These jobs were popular with other job seekers #J-18808-Ljbffr