Jun 13, 2023 - Aumni is hiring a remote Data Engineer, Business Intelligence. 📍Location: USA.

Aumni is an investment analytics company based in Salt Lake City, Utah. At Aumni, we are creating an automated platform to extract information directly from venture capital deals and provide the most comprehensive strategic insights related to the economic and legal details in each investment. Our dashboard presents VC firms with an intuitive interface to make important decisions about their portfolio of investments and financial performance.

Recently closed our acquisition by J.P. Morgan Chase, we are rapidly expanding to build new features and attract new customers. We're continuing to grow our team and are looking for incredible talent to drive our mission of giving investors instant access to the most reliable financial and legal insights across their portfolio, sourced directly from their executed legal agreements, triple-checked by venture experts, and analyzed by AI.

About the Team

Aumni's growing data science team plays a core role in pushing innovation and growth for the company. Our employees embody a culture and mindset of curiosity, delivery, and trust. We emphasize a customer-centric mindset to ensure that the systems and data we deliver are answering the right questions.

Across the company, we value go-getters. The strongest members of our team are not afraid to roll up their sleeves and get hands-on to work cross-functionally for the right outcome. We are looking for leaders who want to succeed together.

Outside of work, we are an eclectic group of people with a love for family, food, travel, and most importantly, the outdoors. You'll either find us at dinner with family, organizing a movie night together, playing video games, or hitting the slopes for a quick hike or ski run before work. We love teachers and those who introduce us to new, fun hobbies we can be a part of!

About the Role

We are looking for a highly autonomous data analyst to work within the BI team and focus on the delivery of our self-service BI capability for internal customers. This includes working with new users, continued development of the capability, and collaboration with data engineering to enhance the core data offerings.

In addition, you will have responsibility for our data catalog and will participate in the development of automated data quality monitoring features.

We have a modern data warehousing, engineering, and visualization stack with flexibility to further develop and build out the platform in partnership with the person in this role.

The perfect candidate has:

A self-starter or founder attitude
A team player mentality
Clear, concise, and timely communication

This position is for Salt Lake City (Cottonwood Heights), UT or 100% remote.

Experience

3+ years of experience as a Data Analyst, BI Developer, or Data Scientist
SQL
Data Modeling
Data Documentation or Cataloging
Creating Dashboards (with tools like Metabase or Sigma)

Bonus points if familiar with any of the following:

Consulting
Venture Capital/Private Equity
ETL/ELT (Airflow, FiveTran)
Security and compliance (SOC 2)
Python Scientific Computing
Data Architecture
Cross-functional teams

Benefits

Competitive base salary and Aumni stock options to ensure that everyone is personally invested in the success of the company
Provided desk setup including MacBook, monitor, keyboard, and mouse/trackpad
Employer-sponsored health, dental, and vision insurance
Flexible PTO policy that advocates for a strong work-life balance
Kitchen loaded with snacks and beverages
Relaxed office space with multiple lounge areas nestled at the base of Big Cottonwood Canyon
An awesome team culture with groups that eat, ski, game, and generally hang together

At Aumni, we strive to create a work environment where everyone feels comfortable, close, and productive. We're working together for collective success. If you're ready to embody the culture and mission of transforming the venture capital industry and having fun doing it, we'd love to have you on the team!

Aumni

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[Hiring] Data Engineer, Business Intelligence @Aumni