Fund Data & Automation Analyst (Python, SQL, Snowflake)

Petrafundsgroup; United States; Hybrid; USD 82,000 - 103,000; Full time

Benefits offered by this job

Health insurance (90% premiums)

HSA employer contributions

401(k) employer match up to 5%

Flexible paid time off

Generous holiday calendar

Hybrid work environment

Job summary

Petra Funds Group is seeking an Accounting Data and Automation Analyst to maintain and enhance data and automation solutions supporting quarterly fund accounting. You will work with Python, SQL, Snowflake, Excel tooling, and Power Automate to keep Snowflake queries and workflows reliable while improving over time.

The ideal candidate is a strong, independent builder with Python/SQL experience, capable of executing against a defined roadmap and contributing to cross-fund standardization and

Qualifications

• Proficiency in Python and SQL, including Snowflake or a comparable cloud data warehouse.
• Bachelor's degree or equivalent hands-on experience in Finance/Accounting/CS/Data Science.
• 3+ years building and maintaining data or automation solutions, preferably in finance.

Responsibilities

• Maintain and troubleshoot the team's data and automation solutions for fund accounting workflows.
• Design, build, test, and extend automation including Power Automate workflows and Sigma dashboards.
• Improve documentation, testing, and control frameworks; standardize tools across funds.

Skills

Python

SQL

Education

Bachelor's degree in Finance/Accounting/CS/Data Science

Tools

Snowflake

Azure Functions

Power Automate

Excel/VBA

Job description

Petra Funds Group is seeking an Accounting Data and Automation Analyst to maintain and enhance data and automation solutions supporting quarterly fund accounting. You will work with Python, SQL, Snowflake, Excel tooling, and Power Automate to keep Snowflake queries and workflows reliable while improving over time.

The ideal candidate is a strong, independent builder with Python/SQL experience, capable of executing against a defined roadmap and contributing to cross-fund standardization and