Data BI Analyst

**Purpose of the Job**:
The purpose of the Data BI Analyst(People) role is to leverage Shoprite’s rich People (HR) data assets to provide actionable trends and insights that enable business to make sound people orientated decisions. The role works collaboratively in a cross-functional, agile team, executing a variety of complex data analytics projects, including modelling, and framing of business scenarios to solve analytical problems, performing experimental design approaches to validate findings or test hypotheses, depicting and presenting the rationale of findings in easy-to-understand terms for business and providing consolidated business reports and dashboards. The People BI/Data Analyst is a critical thinker who applies their technical, analytical and communication skills to infer meaning from data and translate these in a concise, cohesive, and engaging story.

**Job Objectives**:
Work with business stakeholders to understand and correctly frame analysis requirements, hypotheses and questions and propose fit-for-purpose data led solutions.

Write complex business requirements/modifications to transform data into common and graphical formats, reports, and dashboards.

Scope, design, build and publish comprehensive and compelling dashboards, reports and analytical findings including insightful observations, commentary, and recommendations to optimise spend or increase the effectiveness of initiatives.

Support with complex data related queries from business stakeholders, helping to resolve issues or enable understanding and integration of findings to unlock key insights.

Validate datasets and reports and proactively resolve any data or metric related issues.

Evaluate the accuracy of data sources and data gathering techniques and ensure data quality and integrity is maintained.

Maintain documentation, user guides or training material, ensuring the same language and definitions are applied.

Guide and support new and emerging data analysts with new and complex projects.

Collaborate across teams and functions to fully leverage data and enable transformative insights that drive sound business decisions.

Stay updated on developments in data analytics and adjacent fields to ensure the latest techniques and methods are applied.

**Qualifications**:
Degree or Diploma in Data Science, Computer Science, Information Technology, Information Systems, or a related / quantitative field - (essential).

**Experience**:
+2 years’ experience working as part of a progressive data team, ideally in a similar role, with proven experience developing analytics products and working with large data sets, distilling it down and shaping it in a way that informs people centred decisions - (essential).

Understanding of data ecosystems, data flows, varying types of data (first
- and second-party data) and employee profiling - (essential).

Understanding of legal compliance as it relates to personal data and privacy laws (POPIA) - (essential).

Experience creating dashboards and reports using data visualization tools (e.g., Tableau, PowerBI) - (essential).

Strong proficiency in MS Word and PowerPoint with an advanced level of Excel skill - (essential).

Understanding of retail driven KPI's - (essential).

Experience using analytics to inform and scale successful People Team (HR) strategies (including pre and post analytics) across the employee journey - (essential).

Knowledge of AWS cloud computing-based solutions (Python / PySpark) - (advantageous).

Exposure to working in an agile environment, with internal stakeholders and external partners to scope data projects - (advantageous).

Experience working with People Team (HR) and retailer specific data coupled with an understanding of People Team (HR) objectives and how data can support and enable a human centred approach - (advantageous).

Experience in Alteryx - (advantageous).

**Knowledge and Skills**:
Strong analytical thinking skills and highly numerate - Collect, organise and assimilate disparate, multiple and complex pieces of data to draw sound conclusions and arrive at optimal solutions.

High level of self-motivation and drive to meet and exceed goals and expectations. Able to work independently and use own initiative to deal with challenges across a range of problem-solving challenges as and when they arise.

Detailed, organised and quality focused - Has an affinity for detail, structure and efficiency, balancing planning, and execution.

Strong communication and presentation skills - Explain and simplify complex technical concepts and compile visual reports that tell a concise and compelling story.

Team player and collaborative partner

Ability to work under pressure and under tight time constraints, efficiently prioritising workloads, balancing multiple and competing priorities and demands and managing time effectively in a high-volume, fast-moving environment.

Is curious and open to learning with a strong interest in data, discovery and trying new ideas.

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