Senior Analytics Engineer
Bengaluru
Applications have closed
Tala
A money app for the majority. Tala bridges digital and cash ecosystems to help customers seamlessly manage their financial lives, all in one app.
About Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
As a Senior Analytics Engineer, you will drive optimizations by converting raw data into actionable insights. By tying together our mobile, demographic, operational, and spending data points, you will generate models and insights that will push our strategy and drive optimizations around the globe. As we continue to build on our core lending and account product, you will help leverage and develop our data infrastructure to improve our marketing performance. Our social mission requires you to provide quantitatively driven and socially conscious daily decisions.
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
As a Senior Analytics Engineer, you will drive optimizations by converting raw data into actionable insights. By tying together our mobile, demographic, operational, and spending data points, you will generate models and insights that will push our strategy and drive optimizations around the globe. As we continue to build on our core lending and account product, you will help leverage and develop our data infrastructure to improve our marketing performance. Our social mission requires you to provide quantitatively driven and socially conscious daily decisions.
What You'll do?
- Analyze results: work with functional units to quantitatively evaluate performance of different strategies
- Problem solve: translate vague business questions into specific data-driven solutions
- Design and implement solutions: go beyond the analysis to manage business initiatives from conception to implementation and monitoring.
- Data infrastructure: using SQL, Python and ETL to build data pipelines and create fundamental views/models in Snowflake and Looker
- Self service: support data literacy through creating documentations, conducting training sessions and hosting office hours
What you'll need?
- BA/BS in a analytical-related field
- 7+ years in an analytics position at a high-growth company (or equivalent experience)
- Excellent in SQL, ETL and at least one analytics language (ex. Python, R)
- Expertise in visualization technologies including Looker, Tableau or other BI tools
- Experience with providing strategies, insights and recommendations based on analysis
- Self starter who is capable of independently researching and designing solutions to a wide range of analytical challenges of a rapidly-scaling business
- Comfortable in fast-paced environment, understanding that week to week priorities may shift as new business challenges emerge
- Experience with cleaning and validating data sets for analytical consumption
- Able to look beyond the immediate deliverable, find the real data problem, and solve for it
Bonus points
- Experience in emerging or financial markets in a professional or personal capacity
- Familiar with advanced modeling and machine learning techniques outside of school or Kaggle
- Teaching/training/consulting experience
Tags: Consulting Crypto Data pipelines ETL FinTech Looker Machine Learning Pipelines Python R Snowflake SQL Tableau
Perks/benefits: Career development Startup environment
Region:
Asia/Pacific
Country:
India
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