Data Analyst Jobs in South Africa

Senior Data Analyst ● REF NO: FPR 38/26

From $122/yr

JOB OPPORTUNITY Future Planning \& Resilience ● Policy \& Strategy TCOE Salary: R1 122 322 – R1 576 194 PER ANNUM The Data Analytics Hub is a multidisciplinary team of data analysts, data scientists, engineers and product managers working at the heart of the City of Cape Town. We partner with departments across the City, using data, analyses and AI to bring clarity to complex problems, reduce uncertainty, and guide the decisions to improve daily life for millions of residents. We’re looking for a Senior Data Analyst to put deep statistical and analytical expertise to work on some of the City’s toughest challenges. You’ll uncover opportunities, sharpen strategic and operational decision-making, and help shape the systems and behaviours that keep a large, fast-moving city running. This role is for you if you want your work to matter and you’re energised by turning real-world data into clear insights and products that people actually use. Requirements: • A relevant 3 year tertiary qualification, preferably a relevant Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, Data Science, Economics, Quantitative Social Science, or any field with strong quantitative elements • At least 5 years’ relevant experience Key Performance Areas: • Work with stakeholders across the City to understand their needs, translate them into well-defined analytical questions, and design fit-for-purpose solutions using statistical methods • Develop and deploy statistical models and data products using appropriate algorithms and techniques • Monitor and maintain models and data products in production so they remain accurate, reliable and fit for purpose • Communicate findings and insights clearly to technical and non-technical audiences through presentations, reports and visualisations Apply and contribute to the establishment, implementation and adoption of guidelines, standards, best practices and governance frameworks for the data analytic and AI community of the City • Stay up to date with the latest advancements in statistics and related fields and identify opportunities to apply new techniques and technologies to improve the City's data capabilities • Create, maintain and improve high-quality documentation of data analytic processes • Provide guidance and mentorship to junior data analysts. • Contribute to and/or lead the delivery of the data analytic projects and programmes, ensuring they are delivered on time, within scope and budget, with effective stakeholder communication and managed risk. • Perform change, stakeholder, risk, procurement, contract and performance management when required Please apply online at www.capetown.gov.za/careers (external applicants) or via the SAP Portal (internal applicants) unless otherwise stated. By submitting your application for a position at the City of Cape Town, you are consenting to the use of your personal information provided as part of your application and/or Recruitment process for Recruitment and Selection purposes. In addition, you may be required to undergo, including but not limited to, Criminal and Security Checks, Personal Verification, and Lifestyle Audits, throughout your recruitment process and/or subsequent employment. Closing date: 03 November 2026 * Please quote the reference number of the vacancy in all communications. * Certified copies of qualifications must be available on request. * Copies of supporting documents will not be returned. * Kindly note that applications will not be acknowledged in writing. * Visit our website at www.capetown.gov.za/careers * No late applications will be considered. * If no notification of appointment is received within three (3) months of the closing date, please accept that your application was unsuccessful.

Business Analyst / Data Analyst

From $25,000/yr

Our client is seeking a technically minded Business Analyst / Data Analyst to join their team on a permanent, fully remote basis. This opportunity is suited to a logical and analytical professional who enjoys working across business requirements, syste...

Data Analyst

This is an excellent opportunity to work with large, complex datasets in a fast-paced retail environment, helping the business make smarter, data-driven decisions. Key Responsibilities: * Analyse large datasets to identify trends, patterns and commercial opportunities. * Develop and maintain reports, dashboards and analytical solutions. * Translate complex data into actionable business insights. * Work closely with stakeholders across the business to understand reporting and analytical requirements. * Support data quality, accuracy and continuous improvement initiatives. * Identify opportunities to improve business performance through data analysis. Requirements: * 2+ years' experience in a Data Analyst or similar analytical role. * Strong SQL skills and experience working with large datasets. * Experience with SAS and/or Python. * Exposure to AWS or other cloud-based data platforms. * Strong analytical, problem-solving and communication skills. * Experience within retail, FMCG or a similarly data-rich environment would be advantageous. * Exposure to SAP would be beneficial.

Business Analyst / Data Analyst

From $25,000/yr

Our client is seeking a technically minded Business Analyst / Data Analyst to join their team on a permanent, fully remote basis. This opportunity is suited to a logical and analytical professional who enjoys working across business requirements, syste...

BDO Wave - Data Analyst, Gqeberha

The Data Office is responsible for developing and implementing an enterprise-wide data strategy for BDO. Within the Data Office, the Data and Analytics team builds value-focussed data products strategically on the Enterprise Data and Analytics Platform (EDAP), internally for the firm. The Data Analyst sits within this growing team to build, develop, and support the growing catalogue of data products offered by the Data Office and will play a vital part in the execution of the data strategy. Reporting to the Data Analytics Lead, the Data Analyst will be a key role in the translation of data into meaningful and actionable insights. It is also their responsibility to provide value from the wealth of data available by understanding, not only the business, but also the technical aspects of the data. They will be curious and grow their knowledge of the business and systems to get to the bottom of what stakeholders are really asking for, providing the best product to suit their needs. The Data Analyst will support continuous improvement with developing value-adding products as well as by highlighting any data risks found through thorough testing and analysis. The Data Analyst will analyse and interpret data from multiple sources, creating models, reports, dashboards, and recommendations that help BDO to make decisions on its growth analytics strategy and beyond. Principal Accountabilities * Strives for excellence in data analytics by designing and building data analytics products. * Delivers products with the right tool, considering security, sensitivity, and a strategic versus tactical approach. * Works closely with the Data Engineering counterparts to develop the building blocks to analytics by understanding and contributing to the ETL processes with knowledge of project required analytical outputs. * Possesses foresight in builds of curated datasets to allow for further use cases than the original ask to support Data Engineering with information on what would be required to enhance curated datasets. * Identifies trends, patterns, and opportunities through statistical analysis and data exploration. * Provides expert guidance and recommendations to the business on analytics, inclusive of advanced analysis, modelling and performance measurement. * Understands BDO’s analytical issues across streams and utilises this knowledge to maximise value from BDO’s internal data as well in conjunction with external data sources. * Collaborates with both business and technical subject matter experts to provide products which focus on a holistic approach. * Reports to the Data Analytics Lead with clear communication and leads projects with autonomy. Capabilities Technical Knowledge, Professional, Qualifications and Experience * At least 1 years’ experience of working in the fields of data analysis, data science, or business intelligence. * Proficiency in SQL and, preferably, Python. * Extensive experience in data analytics and data visualisation, preferably beyond descriptive and diagnostic analytics. * Understanding of statistical concepts and analytical techniques. * Experience working with large datasets and relational databases. * A track record in making data solutions accessible for end-users. * Experience of working with stakeholders to deliver a data-driven approach to decision making. * Experience in building data products which transition away from manual and heavily Excel based analysis towards automated or semi-automated solutions. * Knowledge of star schema modelling including dimensional data modelling, the identification of dimensions, facts, measures and hierarchies. * Experience developing analytics using Microsoft Power BI, Power Automate and/or other data visualisation tools. Competencies/Characteristics * Ability to look beyond the original requirement to bring value via additional analytics. * Ability to apply multiple analytical solutions to business problems. * Proven ability to work well with others. * Displays intellectual curiosity and integrity. * Motivated and driven to continuously improve both self and team. * Demonstrate ownership and responsibility for deliverables/services. #MM

Graduate: Data Analyst (WC)

Purpose The Data and Technology team operates across four functional domains: master data, analytics and reporting, Salesforce automation, and image recognition. As the team grows in capability and scale, translating raw datasets into clear operational intelligence and maintaining robust system pipelines across all four areas has become a strategic priority. This graduate role provides an entry point into a high-performance environment where a Data Science, Information Systems, or Information Technology background is directly applicable. The Graduate Specialist will be embedded within the Field Intelligence team, applying technical and analytical thinking to clean data, build dashboards, and help optimize the platforms that drive data visibility. Role Context This is a hands-on, delivery-focused role suited to a recent graduate who is eager to apply data and systems principles to a fast-paced retail technology environment. Working closely with team leads, the graduate will gain deep exposure to how a modern data and technology function handles large-scale field intelligence, building a tangible body of work in analytics, data cleaning, and technical documentation. The core competency required is a foundational understanding of data structures, systems analysis, querying languages, and an analytical mindset. Specific retail domain knowledge and platform training will be developed on the job. Key Responsibilities Data Analysis \& Insights * Work with data streams across the four tech domains to identify trends, inconsistencies, and patterns in retail field execution data. * Transform raw data from store visits and image recognition pipelines into structured datasets ready for business intelligence tools. Dashboarding \& Reporting * Produce clear, interactive dashboards and reports using data visualization tools (e.g., Pyramid Analytics, or Looker Studio). * Ensure reports effectively track key performance indicators (KPIs), cycle times, volume indicators, and exception paths for both internal tech leaders and field operations Data Flow Optimization * Analyse existing data pipelines and database workflows to identify latency, bottlenecks, and redundancies. * Apply structured methodologies (such as root cause analysis and database normalization principles) to suggest data pipeline and tool-driven improvements to team leadership. Technical Repository Contribution * Contribute to the team’s centralized knowledge repository by ensuring all data schemas, system architectures, and dashboard definitions are clearly documented. * Maintain clean metadata and logical data dictionaries so documentation remains current, usable, and compliant with repository governance. System \& Automation Support * Support the implementation of approved Salesforce automations and data architecture updates. * Develop a habit of continuous measurement - establishing baseline data metrics before and after system adjustments to measure the impact of technical upgrades * Completed NQF Level 5 or 6 qualification in Data Science, Information Systems, Information Technology, or a closely related quantitative field. * Recent graduate or candidate with 1-2 years of experience since completing their qualification. #SM

MASTER DATA ANALYST

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? The Key Purpose of this role is to mainly focus on creation and maintenance of customer and material master data in line with our business requirements. Key Roles and Responsibilities: * Customer Master Data * Onboarding of new trading and non-trading customers. * Maintaining data for sales/distribution and credit. * Performing customer risk assessments. * Managing daily SLA on customer requests. * Handle new onboarding queries. * Engaging with customers and BDR’s daily. * Responsible for the accuracy and consistency of the organisation's data sets. * Manage document management. * Material master Data * Create and maintain material master data. * Manage daily SLA on SNOW. * Handling material master data queries. * Responsible for the accuracy and consistency of the material master data sets. Key Attribute and Competencies: * Strong Master Data maintenance understanding. * Engaging personality and hardworking team player. * Excellent co-ordinator and the ability to work under pressure. * Good interpersonal and communication skills. * Perform task with attention to detail. * Excellent time management skills. Minimum Requirements: * Matric or equalavant qualification. * Bachelor Degree would be advantages. * Strong Microsoft suite computer knowledge, advanced excel skills. * SAP experience a must. * Strong FMCG experience in an administration environment. * Understanding the order to cash cycle. * Strong Knowledge of legal documentation and business acumen. Additional information: * Band: VIII SAB is an equal opportunity employer, and all appointments will be made in-line with SAB employment equity plan and talent requirements. We are a company that promotes gender equality. Internal applicants require Line manager approval. Please note that only short-listed applicants will be contacted. The advert has minimum requirements listed. Management reserves the right to use additional/relevant information as criteria for short-listing.

Data Analyst

Reference: JHB000957-AS-2 An industry leading Bank has an exciting opportunity available for a Data Analyst to join their team. Duties & Responsibilities In this role, you’ll work closely with stakeholders across the business to understand their needs, identify opportunities, and use data to solve real problems. Your insights will support how our client designs products, improves processes and measures performance — helping them grow as a truly insights‑driven organisation. If you enjoy working with data that has real‑world impact — and explaining insights in a way people can easily understand — this role could be for you. What you'll be doing: Transform complex data into actionable insights that support business strategy and performance Lead and contribute to end‑to‑end data analysis initiatives with measurable business impact Analyse large, complex datasets using advanced analytical tools and techniques Partner with cross‑functional teams to understand business challenges and data requirements Build clear, intuitive dashboards and reports for decision‑makers Identify trends, risks and opportunities across products, processes and customer journeys Communicate findings and recommendations clearly to non‑technical stakeholders Apply your understanding of financial products, business processes and industry context to your analysi Minimum Experience: An Honours degree in Analytics, STEM or a related field, with at least 5 years’ relevant experience, or A Bachelor’s degree in Analytics, STEM or a related field, with at least 8 years’ relevant experience Solid experience in data analysis, ideally within banking or financial services A proven track record of delivering insights that drive business decisions and outcomes Strong capability in advanced data analysis tools such as SQL, Python, R, Tableau or Power BI Experience performing complex analysis and statistical modelling Confidence working with cross‑functional teams to translate business needs into data solutions The ability to explain insights clearly and influence decision‑making at different levels A good understanding of financial products, industry trends and regulatory requirements, and how these affect data analysi Knowledge Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets. Expertise in advanced Excel functions, including macros and VBA. Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn). Strong understanding of statistical methods and their application in financial data analysis. Understanding of predictive analytics techniques and their application in financial analysis. Knowledge of data modelling techniques to structure and organize data effectively. Understanding of risk analysis methods and their application in financial services. Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets. Expertise in advanced Excel functions, including macros and VBA. Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar. Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn). Strong understanding of statistical methods and their application in financial data analysis. Understanding of predictive analytics techniques and their application in financial analysis. Knowledge of data modelling techniques to structure and organize data effectively. Understanding of risk analysis methods and their application in financial services. Should you not receive a response from us within one week of your application, your application has unfortunately not been successful. You can visit our website for more vacancies: www.wePlace.co.za / LinkedIn www.linkedin.com/company/wePlace/

Data Analyst

We are looking for a highly analytical and detail-driven Data Analyst to join a dynamic business environment with our client in Port Elizabeth, where accurate information and meaningful reporting are central to effective decision-making. This role will suit someone who enjoys working hands-on with data, building reporting solutions, investigating discrepancies, and translating large or complex datasets into practical business insights. You will work across different departments and systems, supporting stakeholders with reliable reporting, dashboards, analysis, and data-driven recommendations. Responsibilities: * Analyse operational, financial, and retail data to identify trends, patterns, exceptions, and opportunities. * Build and maintain SQL queries, reporting views, and structured data models used for business reporting. * Create, enhance, and manage interactive Power BI dashboards and reports. * Conduct ad-hoc analysis in response to business and management requirements. * Compare and reconcile information from multiple systems to ensure reporting is accurate and consistent. * Investigate data irregularities and work with relevant stakeholders to resolve discrepancies. * Develop and maintain recurring reports using SQL, Power BI, and Microsoft Excel. * Translate business requirements into clear, practical reporting solutions. * Work closely with stakeholders across different departments to understand their information and reporting needs. * Assist in strengthening data quality, reporting standards, documentation, and governance practices. * Continuously identify opportunities to improve reporting processes, efficiency, and accessibility of business information. Requirements: * Diploma or Degree in Data Analytics, Information Systems or related. * 3+ years experience in Data Analysis. * Strong SQL experience. * Understanding of Developing dashboards and reports with Power BI. * Strong MS Excel skills. * Prior experience working with ERP, WMS, POS or similar systems. * Valid Drivers License.

Data Analytics & Data Engineering Analyst

Introduction We are seeking a highly motivated and technically skilled Data Analytics & Engineering Analyst to join our growing Analytics function. This role is designed for individuals who possess strong analytical capabilities and a passion for transforming data into actionable business insights while developing advanced data engineering skills. The successful candidate will initially focus on delivering analytics, reporting, visualization, statistical analysis, and business insights while simultaneously gaining exposure to modern data engineering practices including data pipelines, cloud data platforms, Snowflake, SQL development, and analytics engineering. This position offers an excellent career pathway into Data Engineering, Analytics Engineering, Data Science, and Leadership roles within the organization. Duties & Responsibilities Key Responsibilities Data Analytics & Business Intelligence Develop and maintain interactive dashboards using Power BI and Tableau Analyze large and complex datasets to identify trends, patterns, operational risks, and business opportunities Produce executive-level reporting and presentations for operational and senior leadership teams Perform exploratory data analysis, root cause investigations, and trend analysis Conduct statistical analysis using Python or R Build predictive models and analytical solutions to support business decision-making Translate complex findings into clear business recommendations Partner with operational stakeholders to solve business problems using data Contact Centre Analytics Analyze customer experience metrics including: NPS CSAT OSAT Complaints First Contact Resolution Sales Conversion Quality Scores Schedule Adherence Productivity Metrics Support operational performance reviews through insight generation Develop analytical frameworks to identify drivers of customer satisfaction and dissatisfaction Support workforce planning, operational excellence, and continuous improvement initiatives Data Engineering & Analytics Engineering Exposure Support development and maintenance of data pipelines and ETL/ELT processes Assist in loading, transforming, and validating datasets within Snowflake Develop reusable SQL transformations and data models Work with engineering teams to create analytics-ready datasets Contribute to data quality checks, validation frameworks, and automated reporting solutions Gain hands-on experience with cloud-based analytics platforms Support implementation of data governance, metadata, and documentation standards Stakeholder Engagement Collaborate with Operations, Quality, Training, Continuous Improvement, WFM, and Client teams Gather and translate business requirements into analytical solutions Deliver insight-led presentations and recommendations to leadership teams Support strategic transformation programmes through data-driven decision making Required Skills & Qualifications Education Bachelor's degree in: Data Science Statistics Computer Science Mathematics Engineering Analytics Or related quantitative discipline Technical Skills Analytics & Visualization Strong knowledge of Power BI Experience with Tableau or similar visualization tools Advanced Microsoft Excel skills including: Power Query Pivot Tables Advanced Formulae Data Modelling VBA (preferred) Programming Experience in Python or R Knowledge of: Data manipulation Statistical analysis Predictive analytics Machine learning fundamentals Database & Data Engineering Strong SQL skills Hands-on experience with Snowflake Understanding of: ETL/ELT concepts Data Warehousing Dimensional Modelling Data Lakes Cloud Platforms Presentation & Communication Advanced Microsoft PowerPoint skills Ability to create executive-level presentations Strong storytelling and data visualization capabilities Ability to communicate technical concepts to business audiences Preferred Skills Candidates with exposure to any of the following will be highly regarded: dbt (Data Build Tool) Azure Data Factory Airflow AWS Glue Databricks Azure Synapse Git & CI/CD Machine Learning Cloud Platforms (Azure, AWS, GCP) Snowflake SnowPro Certification Statistical modelling techniques Text Analytics and NLP Contact Centre Analytics Telecom, Utilities, Financial Services, or Customer Operations experience Desired Experience & Qualification Experience Required Essential 3-5 years of experience in Data Analytics, Business Intelligence, or Management Information roles Experience developing dashboards and analytical solutions Strong stakeholder management experience Experience working with large operational datasets Preferred Experience in contact center environments Experience supporting operational performance functions Experience working with Snowflake or cloud data platforms Exposure to data engineering concepts and practices Key Competencies Analytical Thinking Problem Solving Data Storytelling Commercial Awareness Continuous Improvement Mindset Attention to Detail Stakeholder Management Curiosity and Innovation Learning Agility Business Partnering

Data Analyst

From $378/yr

View More Jobs Data Analyst Johannesburg, City of Johannesburg, South Africa (No Local) To meet the needs of the Church, we seek to build teams that represent the diverse perspectives, broad life experiences and backgrounds of our global Church membership. With that in mind, we encourage all qualified applicants to apply. Job Description The Data Analyst supports the Meetinghouse Facilities Department (MFD) by collecting, managing, analysing, and interpreting data to provide accurate insights that strengthen operational planning and informed decision-making. The role develops and maintains reports, dashboards, databases, web-based tools, and business applications using platforms such as SharePoint, Power Apps, and Power BI, while identifying and implementing solutions to complex data and technical issues. Responsibilities * Completes root cause analysis of complex data problems, resolves by developing and implementing systems and processes where appropriate. * Collects data using system tools or ad hoc query tools. * Reviews current processes, identifies performance gaps, and recommends possible solutions to department management, product owners, and system development. * Organizes and manages information from various databases. * Communicates with headquarters and field personnel concerning daily customer issues and reporting. * Collect, clean, and preprocess data from multiple sources, ensuring data integrity and accuracy. * Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) and provide actionable insights to stakeholders. * Collaborate with divisions to understand their data needs, requirements and translate them into technical specifications for data analysis and reporting and resolve data recording problems. * Interpret and communicate findings from data analysis to non-technical stakeholders through clear and concise reports, presentations, and data visualizations. * Monitor and track data quality, performance metrics, and KPIs to ensure consistency and reliability of data sources and reports. * Provide training and support to end-users on data analysis tools and techniques to enhance data literacy and self-service analytics capabilities within MFD * Contribute to the development and maintenance of data governance policies, standards, and procedures to ensure data quality, integrity, and confidentiality. * Participate in cross-functional projects and initiatives as a subject matter expert in data analysis and contribute to the achievement of organizational goals and objectives. Qualifications * Must hold a current / valid temple recommend and/or be worthy to hold one. * Bachelor’s degree in information systems/ finance/ Statistics/ Mathematics or related field with 3 - 7 years relevant work experience. * Strong data analysis, attention to detail and research skills. * Ability to communicate effectively, both written and oral. * Ability to keep confidence and appropriately deal with sensitive data and documents. * Ability to acquire in-depth knowledge of department processes and operations. * Highly skilled in the use of standard desktop software including Word, Access, Excel, PowerPoint, and Visio. * Ability to automate raw data and transform it into meaningful reports for Decision-Making. * Intermediate knowledge of Business Objects and Tableau. Ability to write queries and reports using R and SQL. * Ability to understand the story data tells and create presentations and reports that convey accurate data storytelling. * WEB, Database Management and Apps design (i.e. SharePoint, PowerApps, Power BI). * Adept at problem-solving, debugging and troubleshooting, and designing and implementing solutions to complex technical issues. * Capability to thrive under pressure and maintain effectiveness in demanding situations. * Job Identification 378579 * Job Category AO - Administration/Operations * Posting Date 10/16/2026, 08:59 AM * Locations 5 A Jubilie Rd, Johannesburg, Gauteng, 2193, ZA (No Local) * Apply Before 10/30/2026, 10:00 PM * Job Schedule Full time * Regular or Temporary Regular * Worker Type Employee * Number of Openings 1 * Anúncio/Mais informações Please note that this job posting may close at any time without prior notice. Find out more about the many benefits of Church Employment at https://careers.churchofjesuschrist.org. Similar Jobs

Data Analyst

Are you someone who thrives on transforming raw data into meaningful insights? Do you enjoy building dashboards, automating reports, and uncovering trends that drive smarter business decisions? This role offers the chance to be at the heart of technical, product, and sales support teams, helping them make informed choices, improve processes, and grow the business. You’ll be part of a collaborative environment where your analytical skills directly influence operational efficiency, customer satisfaction, and market growth. This is more than just reporting numbers, it’s about telling the story behind the data, spotting opportunities, and shaping strategies that matter. If you’re ready to take ownership of data-driven solutions and make a real impact, this role is for you. Key Responsibilities: * Collect, validate, and analyse data to support decision-making. * Design and maintain interactive dashboards (Power BI, Excel). * Automate reporting processes to improve efficiency. * Provide insights into inquiries, product performance, and customer trends. * Support compliance by monitoring technical documentation and product information. * Deliver market intelligence and qualified leads to sales teams. * Promote a culture of data-driven decision-making and continuous improvement. Job Experience and Skills Required: * A degree in Data Science, Computer Science, Engineering, Statistics, or related field * 2+ years’ experience in sales, customer service data, or reporting. * Strong skills in Power BI, Excel, and data modelling. * Knowledge of SAP/ERP systems (advantageous). Apply now! For more exciting IT vacancies, please visit: https://www.networkrecruitmentinternational.com/it-jobs I also specialise in recruiting in the following: * Software Developers * Mobile Developers * Business and Systems Analysts * BI and SQL Experts * Data \& Analytics (Data Scientists, Data Analysts, Python, R, SQL, Machine Learning) * AI \& Automation (Artificial Intelligence, Machine Learning, Intelligent Automation, and Process Automation Solutions). Lameez Mohamed