Data Analyst

Elite Search And Selection; Gauteng; Sur place; ZAR 420 000 - 540 000; Plein temps

Résumé du poste

Elite Search And Selection is seeking a Data Analyst to lead workshops, translate business requirements into data definitions, and deliver both recurring and ad hoc analyses. You will work with stakeholders to define reporting needs, ownership, and level of detail, while developing dashboards in Power BI and SQL-based analyses.

Ideal candidates will have 3–5+ years of data analytics experience, a desirable degree, and advanced Excel skills, with demonstrated ability to communicate insights to

Qualifications

• 3–5+ years of experience as a Data Analyst.
• Degree is desirable.
• Advanced Excel proficiency required.
• Experience with Power BI and SQL required.

Responsabilités

• Lead and support workshops and stakeholder interviews to understand business objectives and reporting needs.
• Translate business needs into data definitions, user stories, and report specifications.
• Challenge unclear requests and propose fit-for-purpose analytical solutions.
• Define report purpose, audience, frequency, ownership and detail level.
• Analyse operational, financial and customer data to identify trends, drivers and anomalies.
• Produce recurring and ad hoc analyses with concise business commentary.
• Perform segmentation, variance, trend, root-cause, forecasting and scenario modelling.
• Translate findings into business-friendly language and ensure reproducibility.
• Develop dashboards and data visualisations using Excel, Power BI and SQL.

Connaissances

Data analysis

Stakeholder communication

Problem solving

Formation

Bachelor's degree desirable

Outils

Power BI

SQL

Excel

Description du poste

The Role:

• Lead/support workshops and stakeholder interviews to understand business objectives, processes, reporting pain points and analytical requirements.
• Translate business needs into data definitions, user stories, report specifications, measures, business rules and acceptance criteria.
• Challenge unclear or low-value requests and recommend fit-for-purpose analytical solutions.
• Define report purpose, audience, frequency, ownership and required level of detail.
• Analyse operational, financial and customer data to identify trends, drivers, anomalies, and exceptions and improvement opportunities.
• Produce recurring and ad hoc analysis with concise business commentary.
• Perform: segmentation analysis, variance analysis, trend analysis, root-cause analysis, forecasting and scenario modelling.
• Translate analytical findings into business-friendly language.
• Clearly distinguish between facts, assumptions, correlations and conclusions.
• Ensure analytical findings are reproducible and supported by validated data.
• Profile data for completeness, accuracy, consistency, validity, uniqueness and timeliness.
• Investigate data discrepancies and determine root causes.
• Develop/perform data validation and reconciliation.
• Provide business-facing support for reporting and analytical products.
• Develop clear dashboards and data visualisations where appropriate.
• Use Excel, Power BI and SQL to extract, analyse and present information.
• Identify opportunities for predictive analysis, anomaly detection and AI-supported analytics.
• Validate AI-generated outputs against trusted business data.
• Document analytical assumptions, limitations and validation steps.
• Influence KPI definitions, prioritisation and adoption across business functions.
• Present insights and recommendations to business stakeholders

Requirements:

• 3-5+ years’ experience as a Data Analyst (duties as above)
• Degree is desirable
• Advanced Excel
• Experience using Power BI and SQL