Analytics Engineer at Angaza

Role Summary

• Are you looking for an opportunity to use your analytical skills and business insight to alleviate poverty and empower people to access life-changing products?
• You will help us use data to focus internal priorities, drive business decisions, and benefit our customer base.
• You will serve internal stakeholders, customers, and external partners with quality analytics and business intelligence products, especially visualizations in our service Sisense.
• Angaza is building a modern analytics practice around a deep commitment to our core values, high-quality tools, proven development practices, and a philosophy of continuous professional improvement, and we need you to help us make that vision a reality!

Competencies

• Advanced SQL skills (Angaza uses Snowflake & Postgres)
• Ability to design an efficient data model for use within modern BI tools (Angaza uses Hevo, dbt)
• Demonstrated ability to design and build rich data visualizations (Angaza uses Sisense)
• Understanding of applied statistics & common modeling techniques in a business context
• Possess strong business insight and appreciation of the challenges facing growing businesses
• Excellent data governance practices, including Git management

You

• Thrive in a cooperative, dynamic, and fast-paced work environment
• Are passionate about beautifully presented data that communicates complex information in a straightforward way
• Have strong quantitative, problem-solving, and project management skills
• Demonstrate excellent written and verbal communication skills
• Pride yourself on attention to detail
• Exhibit a strong tendency towards self-management and enjoy balancing multiple projects simultaneously
• Exemplify Angaza’s key values: maximizing impact, innovating with empathy, being courageous, deserving stakeholder trust, and being curious and collaborative

Recommended Experience

• We recognize there are many paths to success in analytics, but we suspect the strongest candidates will have at least three (3) years of experience in at least one of the following categories:
• Supporting executive decision-making through descriptive and statistical analysis at an early-stage organization
• Evaluating patterns of customer growth / credit & risk at a financial technology company with a special focus on consumer lending
• Analytics engineering