X, bigly labs
X, bigly labs
51 – 200 Employees
EnterpriseHealthcare
X, bigly labs is Dis-Chem’s innovation and technology team, focused on developing practical solutions for healthcare and enterprise challenges. The team combines experimentation, collaboration, and customer-focused problem solving to support Dis-Chem’s retail and clinical services and help improve outcomes for customers and patients.

Senior Data Analyst - Johannesburg Hybrid

Lead high-impact analytics, reporting standards, and business intelligence rationalization as a Senior Data Analyst. Support data-driven healthcare innovation from Dis-Chem’s South African hub.

Description

  • Develop statistically sound analyses that inform high-stakes decisions and create business value
  • Translate ambiguous business needs into testable questions with senior stakeholders
  • Define and uphold analytical and visualization standards for methodologies, documentation, certified data sources, semantic models, and lifecycle governance
  • Drive usage-based rationalization across Power BI and Grafana
  • Map legacy SAP BW reports to approved replacement reports
  • Mentor junior and mid-level analysts through structured reviews and collaborative pairing
  • Train business users in controlled self-service analytics
  • Manage concurrent analyses, remove blockers, and align stakeholder expectations
  • Present findings clearly to technical and non-technical audiences

Requirements

  • Work effectively in a fast-moving environment and turn unclear requests into clearly defined value
  • Hold a bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related discipline, or have equivalent practical experience
  • Bring at least six years of data analysis or business analytics experience where your work influenced decisions
  • Demonstrate expert-level SQL skills with large datasets
  • Understand data modeling concepts, including star schemas and gold models
  • Have dashboard development experience with Databricks AI/BI dashboards or a comparable modern BI platform
  • Possess extensive Power BI experience with semantic models, storage modes, relationships, security passthrough, report lifecycle governance, and logic kept outside the tool
  • Have experience with observability tracking, event logging, and sessionized data; Grafana experience is preferred
  • Demonstrate a record of presenting to and influencing senior stakeholders
  • Experience with Python or R for advanced statistical analysis is advantageous
  • Experience with experimentation platforms and causal inference is advantageous
  • Experience with the Google ecosystem is advantageous
  • Understand data pipelines and medallion architecture in Databricks
  • Bring retail data experience, ideally in pharmacy retail; healthcare or financial services experience is also relevant

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