About Andela:
At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.
As one of the world’s largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company’s exclusive AI-powered platform, Andela Talent Cloud, is the industry’s only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.
Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.
Are you an exceptional, hungry leader seasoned in scaling businesses through transformation and growth? Join us and change the world.
Job Summary:
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
Exceptional Leadership:
As an Andelan, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you.
Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.
One team mentality: You break silos across teams. You put the company and mission first above your team alone.
Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen.
Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details.
Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.
Key Responsibilities:
Proactive Business Partnership
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
Analytics & Insights Generation
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
Experimentation & Measurement
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
Data Literacy & Enablement
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
Qualifications:
Required Experience & Skills
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)
Preferred experience with the Looker semantic layer (LookerML)
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
What Sets You Apart
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
Bachelor's degree in quantitative field; advanced degree preferred
