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 five 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 7 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!

We are looking for a Business Intelligence Engineer that will discover new and better ways to create and maintain critical data infrastructure in order to serve stakeholder data needs. This role will have a deep understanding of both the business and data infrastructure, and will be focused on the engineering side of analytics. The candidate should feel comfortable working with both technical and non-technical stakeholders and be adept at taking a business need and translating it into a data requirement. This role must be adept at building and refining ad hoc reports, as well as working with Data and Engineering partners to design a comprehensive, sustainable reporting infrastructure for the longer term.

What you'll do:

Working with stakeholders and understanding product changes in order to update or build new data infrastructure.
Build and maintain data infrastructure in the Snowflake warehouse to support reporting and analytical needs.Creating and maintaining views, tables, and functions in the Snowflake warehouse.
Using ETL tools to automate data updates and reporting e.g DBT, Python, etc.
Providing both ad-hoc and scheduled reporting to Finance and Accounting teams.
Identifying discrepancies and reconciling between data sources to ensure data integrity.
Collaborate with Data and Engineering to build sustainable reporting to enable better and faster reports and infrastructure (e.g. custom analytics tools, dashboards, and financial reports); report on weekly / monthly operational, business and financial performance.
Work with business stakeholders, Data and Engineering teams to validate data, identify gaps and contribute to changes in business processes and data pipelines to fix data gaps and to develop long-term solutions.
Work with non-technical business users to understand their analytical needs, document and prioritize requirements, and help them effectively use the data and analytical tools that the team has developed.

Who you are:

Loves data – will dig deep to understand the intricacies of a data set.
Experienced on the technical and engineering aspects of analytics.
Can manage discovery and reporting projects from end to end.
Have a strong curiosity around what makes a business tick.
Know how to translate questions into a set of metrics, requirements, and/or reporting.

What you'll need

2-5 years of relevant experience and BS in Computer Science, Information Management, Engineering, Statistics or related fields.
Strong SQL and Python skills and experience with building data infrastructure to support reporting and analytical needs.
Experience with data warehouses and ETL/data transformation pipelines.
Adept at queries, report writing and presenting findings.
Experience with digging into underlying data and identifying discrepancies and business logic.
Strong communication skills with the ability to influence in a dynamic, cross-functional environment; customer-focused, with strong history of driving results, managing complexity and dealing with ambiguity.

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Business Intelligence Engineer

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