Business Intelligence Analyst

Accountabilities

• • Write advanced, optimized SQL queries, joins, stored procedures, triggers, and analytical logic across complex and evolving datasets.
  • Partner with Data Engineering and Data Science teams to develop and maintain modular, tested, and well-documented dbt models.
  • Support the migration from legacy cube and spreadsheet environments to modern Snowflake-based data architecture.
  • Design and deliver executive-ready, interactive dashboards and reporting solutions using Power BI, Tableau, or Sigma.
  • Establish rigorous data-quality, audit, and testing practices to ensure reporting is accurate and reliable before reaching stakeholders.
  • Translate ambiguous business and clinical questions into appropriate data models, analytical approaches, visualizations, and recommendations.
  • Produce clear initial outputs—including logic flows, sample datasets, and dashboard concepts—to accelerate stakeholder feedback and decision-making.
  • Communicate technical constraints and analytical findings in clear, accessible language for non-technical stakeholders.
  • Maintain strong documentation, including data dictionaries, wikis, reporting logic, and other materials that enable the wider team to scale and maintain your work.
  • Collaborate across a globally distributed organization, adapting to evolving data infrastructure, priorities, and stakeholder needs.

  Requirements

  • At least 3 years of professional experience in business intelligence, data analytics, intelligence reporting, or a related discipline.
  • Advanced SQL expertise, including complex queries, joins, window functions, stored procedures, triggers, and work with relational databases.
  • Proven experience building intuitive, scalable dashboards and reporting solutions, preferably with Tableau, Power BI, or Sigma.
  • Knowledge of SSIS, SSRS, and SSAS, including experience developing SQL Server cubes and Tabular models.
  • Experience with Snowflake and dbt is valuable, or a demonstrated ability and willingness to quickly learn modern cloud data technologies.
  • Strong analytical and problem-solving capabilities, with the ability to work independently through incomplete or ambiguous requirements.
  • A strong commitment to data accuracy, testing, governance, and documentation.
  • Excellent communication skills and the ability to translate technical concepts and data constraints into clear business language.
  • Comfortable working collaboratively with Data Engineering, Data Science, business stakeholders, and distributed teams.
  • Adaptable and proactive, with the confidence to navigate changing systems, evolving priorities, and large-scale technology transitions.
  • Tertiary degree or diploma in Statistics, Computer Science, Social Sciences/Humanities, Sociology, Health Sciences, Data Analytics, Data Science, Finance, Business Management, or a related field.
  • Comfortable working remotely from South Africa with reliable internet connectivity and backup power.
  • Able to work Monday to Friday, generally from 8:00 AM to 5:00 PM, with occasional flexibility for meetings outside standard local hours.

  Benefits

  • Fully remote position based in South Africa.
  • Permanent, full-time employment, five days per week.
  • Opportunity to work with modern data technologies including Snowflake, dbt, Power BI, Tableau, and/or Sigma.
  • Exposure to a significant data transformation and migration initiative.
  • Opportunity to influence how data informs clinical, operational, and strategic decisions.
  • Collaborative environment with Data Engineering, Data Science, and business teams.
  • Autonomy to explore data, identify opportunities, and bring recommendations forward.
  • International working environment with exposure to global teams and stakeholders.
  • Equal-opportunity workplace committed to an inclusive and accessible working environment.