Overview of salaries statistics of the profession "Intelligence Analyst in South Africa"

Requirements:Bachelor’s Degree in a relevant quantitative field (e.g., Data Science, Engineering, Statistics, Computer Science) NQF 7Additional Certifications in Azure environment would be advantageousWorking experience: minimum +4 years hands-on experience:Minimum of 4 years of relevant experience in data analytics, other relevant fields will be considered such as data science, data engineering, machine learning or BI developmentMinimum of 2 years in Senior Data Analyst role advantageousA working knowledge and understanding of the following:Python, DataBricks, PySpark, Azure, SQL, PowerBI, and GISExperience in other similar cloud services will be consideredStrong hands-on experience with ETL processes and data aggregation methodsExcellent analytical and problem-solving skills, with the ability to easily determine best statistical analysis methods on large and different datasetsAbility to translate business needs into data-driven solutions, and then to present it with the relevant business acumen to internal and external stakeholdersEffective communication and collaboration abilities to work closely with cross-functional teamsDetail-oriented mindset with a commitment to delivering high-quality, actionable insightsExperience in the Telematics or automotive industry is a plusTechnologies experience: working experience in a cross-section of the following technologies (recent 2 years) is required:Project participation: Agile frameworks such as Scrum or KanbanProgramming: Python (Pandas, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, GeoPandas), ExcelCloud data: DataBricks (PySpark, SQL, NoSQL), PowerBIGeospatial: QGIS is advantageousMaths and Statistics: statistical techniques and hypothesis testingGeneral Behavioural Attributes:Results DrivenValue OrientationAnalytical thinkingProfessionalAbility to multitaskAssertivenessCustomer service orientationSound communication skills at all levelsCollaborative and consultative styleAbility to work under pressureRelationship building for influenceTeam workingGood planning and organizational skillsForesight / forward-thinkingHigh degree of emotional intelligenceResilienceAble to work effectively on own if neededKey Performance Areas:Data Processing and Data Quality:Source relevant data from various databases, models and stakeholders internal and external to the businessEnsure absolute data integrity in the collection, analysis and interpretation processAdhere to any relevant business rules that govern the data collectedEnsure that relevant data are collected daily / weekly / monthly as prescribed by the SOPs (standard operating procedures) of relevant stakeholdersContinuously strive to implement automated methods of data collection that adhere to data integrity standardsPerform relevant ETL processes on large-scale data in an Azure environmentClean and pre-process the collected data to enhance data integrity, quality and consistencyAggregate data according to prescribed methods in order to meet specific business requirementsExport and deliver data in various formats as per the objectives of the data processing requestImplement best practices for data validation and quality controlDashboard Development and Presentation:Build interactive PowerBI dashboards tailored to specific business needsSynthesize current business intelligence or trend data to support recommendations for action, forecasting and/or projectionsPresent data insights and findings to stakeholders in a clear and understandable mannerUnderstand and propose best statistical analysis methods relevant to specific business needsTranslate data into actionable information for informed decision-makingProvide guidance to relevant stakeholders where needed on the solutions providedProvide insights that drive business value in strategic decision makingConduct timeously follow-up with relevant stakeholders to confirm if needs are metStakeholder Collaboration and Requirements:Consult with relevant stakeholders and managers to understand the needs, goals and strategic objectives that drive the analysis requestsWork closely with business stakeholders to gather data requirementsCollaborate with stakeholders to understand and incorporate their requirements into the dashboardsMaintain open communication channels to address stakeholder feedback and evolving data requirementsMaintenance, Support, and Documentation:Take responsibility for the ongoing maintenance and optimization of data solutionsCollaborate with data engineering and other relevant teams to address technical issues, ensure system stability, and provide timely supportDocument data processes, methodologies, and best practices for team reference and knowledge sharingCreate and maintain documentation including requirements, design and user manuals as neededMentor and assist junior team members in their roles and provide guidance on best practices where requiredSalary: R57 000 to R67 000 per month commensurate with qualification and experience.