Business Intelligence Associate

Proximity Finance

Proximity Finance

Sales & Business Development, Operations, Data Science
Yangon, Myanmar (Burma)
Posted on Jul 21, 2025

As a member of the Data Analytics team, you will be part of an exciting journey of bringing top-tier analytics to one of the world’s leading agricultural social enterprises. You will work alongside and be mentored by talented teammates to integrate our data systems, build automated dashboards, and conduct advanced analysis to bring valuable insights that will be used for decision-making across the organization.

This position is open to candidates based in Asia, particularly Thailand. However, the role requires living and working in a region close to Myanmar, and preference will be given to candidates who can live and work in Myanmar, especially those currently residing in Yangon.

Once You’re Here, You Will:

  • Provide sophisticated and user-friendly analysis for respective business units/teams upon request
  • Update queries and dashboards regularly to ensure accuracy and usability
  • Monitor data quality and consistency across different data sources and systems
  • Develop a deep understanding of the organization’s data collection methods and management procedures
  • Identify trends and provide analytical support to business leaders based on granular-level organizational data

Must-Have

  • Organized and detail-oriented, with the ability to manage workloads efficiently and ensure data accuracy across teams.
  • Strong analytical skills with the ability to apply basic statistics, understand database concepts, and use data visualizations to generate meaningful insights.
  • Proficient in cleaning and analyzing data using functions and pivot tables in Excel/Google Sheets (or a more advanced data analysis program).
  • Self-motivated and proactive, with a strong eagerness to learn, take on challenges, and uncover insights independently.
  • Collaborative team player who is open to feedback and actively supports team goals.
  • Fluent in both Burmese and English, with strong written and verbal communication skills.

Added Bonus

  • Experience with dashboarding tools like Power BI and Tableau.
  • Familiar with using SQL, Python, R, or other programming languages for data cleaning and analysis.
  • Passionate about using data analytics to drive meaningful impact and support low-income farming communities in Myanmar.

In return…

You’ll earn a competitive salary, with medical benefits, and incredible opportunities to develop your career. You can expect an annual impact bonus, an amazing office with the forward-thinking people and world-class training opportunities through Proximity School.

You’ll get to see more of the world, with the potential for international travel to conferences and events to keep your skills sharp.

And, ultimately, you’ll have the opportunity to change lives in Myanmar for the better, while doing groundbreaking work.

About Proximity

Proximity Designs is tackling globally important issues at the nexus of climate change, deep poverty, food insecurity, and inequality. We do this by helping hundreds of thousands of rural people care for their soils, grow more food, earn better incomes and build resilience against climate change. We address a critical government and market failure, by designing and delivering products and services needed to make farming families more productive, profitable and environmentally sustainable. We offer our low-income customers a suite of innovative and affordable farm solutions such as micro-irrigation systems, bio-fertilizers and bio-pesticides, and on-call crop protection services.

Over the past 20 years, we’ve generated USD 782 million in additional income for 1.2 million poor farming households across rural Myanmar. With this income increase, farmers can invest in their future: education for their children, more nutritious food, better healthcare and investments in their farms or other village enterprises.

How to Apply

If you are interested in joining us, please click Apply to submit your application.

Applications will be reviewed on a rolling basis without regards to race, sex, color, national origin, sexual orientation, age, or marital status, and therefore interested candidates are encouraged to apply.

Please note that only short-listed candidates will be contacted.