Technical Sales Graduate – HPE, Sydney
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X, bigly labs — Dis-Chem kompaniyasining sog‘liqni saqlash va korporativ sohadagi muammolarga amaliy yechimlar ishlab chiqishga yo‘naltirilgan innovatsiyalar va texnologiyalar jamoasi. Jamoa Dis-Chem’ning chakana savdo va klinik xizmatlarini qo‘llab-quvvatlash, mijozlar va bemorlar uchun natijalarni yaxshilashga yordam berish maqsadida tajriba o‘tkazish, hamkorlik qilish va mijozga yo‘naltirilgan muammolarni hal etish yondashuvlarini birlashtiradi.
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.
Tavsif
- 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
Talablar
- 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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