Enhance your technical skills in Python and SQL while contributing to impactful fund accounting solutions. Work remotely with flexible arrangements and a collaborative team. Drive innovation in automation workflows and data processes.
Data Analyst
in Information Technology ContractJob Detail
Job Description
Data Analyst Overview
- The Data Analyst role offers an exciting opportunity to contribute to technical execution for fund accounting and reporting processes.
- Collaborate with professionals across various regions, leveraging Python and SQL expertise to enhance automation solutions.
- Maintain and improve data workflows, ensuring accuracy and timeliness in fund administration tasks.
- Work independently to translate business requirements into technical deliverables aligned with organizational goals.
- Contribute to documentation and testing frameworks to ensure transparency and reproducibility of solutions.
- Collaborate with stakeholders to standardize processes and reduce dependencies on key personnel.
- Support the development of dashboards and workflows to streamline fund reporting cycles.
- Enhance technical skills while working in a flexible, remote environment with a focus on professional growth.
Data Analyst Key Responsibilities & Duties
- Maintain and troubleshoot data solutions supporting fund accounting and reporting processes.
- Design and test enhancements, including workflows and dashboards for automation.
- Strengthen documentation and testing frameworks to ensure audit-readiness of tools.
- Standardize solutions across funds, consolidating scripts into reusable tools.
- Collaborate with stakeholders to ensure technical deliverables align with business priorities.
- Support quarterly processes such as capital call and financial statement reviews.
- Develop and maintain Power Automate workflows and Sigma Computing dashboards.
- Ensure solutions are transparent, reproducible, and meet organizational standards.
Data Analyst Job Requirements
- Bachelor’s degree in Finance, Accounting, Computer Science, Data Science, or related field.
- Proficiency in Python and SQL, with experience in Snowflake or similar cloud data warehouses.
- Minimum of 3 years of experience building and maintaining data solutions; 6 years preferred.
- Comfort working independently to translate business needs into technical solutions.
- Experience with Azure Functions, Power Automate, or advanced Excel/VBA is advantageous.
- Familiarity with private equity fund accounting structures and concepts is a plus.
- Strong organizational skills and clear communication abilities.
- Ability to work in a remote environment while maintaining productivity and collaboration.
- ShareAustin:
