Jobgether

Business Intelligence Analyst

Jobgether South Africa

Internet Marketplace Platforms · 11-50 employees

7 h ago
Remote Mid (2-5 yrs) Full-time South Africa
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About the role

You will develop advanced SQL queries and dbt models to support a migration to Snowflake while creating executive-ready dashboards. Additionally, you will ensure data quality and translate complex business requirements into actionable analytical insights.

What they look for

SQL Business Intelligence Data Analytics Power BI Tableau Sigma Snowflake dbt Data Engineering Data Quality Dashboard Design SSIS SSRS SSAS Data Modeling Stakeholder Engagement

Requirements

Candidates must have at least 3 years of professional experience in business intelligence or data analytics with advanced SQL expertise. A tertiary degree in a relevant field and proficiency in modern cloud data technologies or a willingness to learn are required.

Benefits

Fully remote position Permanent full-time employment Exposure to modern data technologies Involvement in large-scale data transformation Collaborative international environment Autonomy in decision-making Equal-opportunity workplace

Full description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Intelligence Analyst based in South Africa.

This role offers the opportunity to shape how data supports clinical, operational, and strategic decision-making within a rapidly evolving environment. You’ll work at the intersection of advanced analytics, modern data engineering, and business intelligence. A major migration to Snowflake and dbt is creating an opportunity to modernize legacy reporting and establish a more reliable source of truth. You’ll turn complex, messy datasets into clear insights, executive-ready dashboards, and actionable recommendations. The role combines hands-on SQL development with visualization, data quality, documentation, and stakeholder engagement. You’ll work closely with data-focused teams and business leaders in a collaborative, globally distributed environment. Success will come from combining technical rigor with the ability to explain complex findings clearly and confidently.

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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.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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