Data Scientist, BI & Dashboards (Remote Africa)

Inclusively Remote; United States; Remote; USD 65,000 - 85,000; Full time

Benefits offered by this job

Remote-friendly role

Impactful mission

Collaborative BI team

Job summary

ALX Africa is seeking a Data Scientist to join our Business Intelligence team. You will build dashboards and reports, write production SQL and Python, and shape how the business measures success. This is a remote role within Africa, aligned to African time zones.

You will partner with stakeholders to define metrics, validate data quality, and drive decisions through clear analytics and storytelling.

Qualifications

• A degree in Data Science, Analytics, Statistics, CS, or a related quantitative field.
• 3-5 years in data science, analytics, or BI roles.
• Strong SQL skills, including complex queries on large datasets.
• Proficiency in Python for data analysis and manipulation.
• Experience building dashboards in QuickSight, Metabase or Power BI.
• Ability to communicate insights clearly to non-technical stakeholders.

Responsibilities

• Build, maintain, and improve dashboards and reports for stakeholders.
• Write and optimize SQL and Python to analyze data from multiple sources.
• Partner with stakeholders to define metrics and translate requirements into analytics.
• Ensure data quality through validation, de-duplication, and reconciliation.
• Document analyses and present findings to technical and non-technical audiences.

Skills

SQL

Python

Dashboard creation

Data storytelling

Data quality

Communication

Education

Bachelor's in Data Science / CS / Stats

Tools

QuickSight

Metabase

Power BI

Job description

ALX Africa is seeking a Data Scientist to join our Business Intelligence team. You will build dashboards and reports, write production SQL and Python, and shape how the business measures success. This is a remote role within Africa, aligned to African time zones.

You will partner with stakeholders to define metrics, validate data quality, and drive decisions through clear analytics and storytelling.