Data Analyst

Andela

5d•Remote

About The Position

Andela is transitioning from a world-class talent marketplace into a high-scale, AI-integrated Talent Cloud. As a Data Analyst you will build and maintain the data infrastructure that powers Andela's business intelligence and analytics capabilities. This role requires someone who thinks about data as a product, ensuring data is reliable, accessible, and structured to enable self-service analytics across the organization.

Requirements

4-7 years in business intelligence, data analytics, or related analytical role
Advanced SQL skills with ability to structure complex analyses independently
Strong proficiency with BI tools (Looker, Tableau, Power BI, or similar)
Proficiency in R or Python for automated data processing, statistical modeling, and advanced visualization
Deep understanding of statistical concepts and experimental design
Demonstrated ability to work cross-functionally and influence without authority
Exceptional communication skills—ability to tell compelling stories with data

Nice To Haves

Preferred experience with the Looker semantic layer (LookerML)
You don't wait for assignments; you proactively identify problems worth solving
You think from first principles and challenge assumptions in pursuit of truth
You're comfortable with ambiguity and can structure unstructured problems
You balance analytical rigor with pragmatic business judgment
You demonstrate high ownership and follow-through on all commitments

Responsibilities

Embed yourself in assigned business function to deeply understand their priorities, challenges, and opportunities
Proactively identify analytical opportunities before stakeholders ask—hunt for insights that drive action
Design and lead experiments, A/B tests, and pilots with clear success metrics and measurement frameworks
Deliver insights with clear recommendations and next steps, not just data summaries
Build dashboards, reports, and analytical frameworks that enable ongoing business monitoring
Conduct deep-dive analyses on business performance, customer behavior, and operational efficiency
Develop forecasting and predictive models to support strategic planning and resource allocation
Synthesize complex data into compelling narratives that drive stakeholder action
Partner with business teams to design experiments that test new strategies, products, or processes
Establish success metrics, tracking mechanisms, and analytical approaches for each initiative
Analyze experiment results with statistical rigor and deliver clear go/no-go recommendations
Build repeatable frameworks for experimentation that increase velocity and learning
Train business partners on self-service analytics tools and metrics definitions
Create documentation and resources that enable stakeholders to answer basic questions independently
Serve as the data expert for your business area, ensuring consistent interpretation of metric