Data Analytics Co-Op: BI & Data Modeling

Audax Group; Boston (MA); Hybrid; USD 41,000 - 47,000; Part time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Disability insurance

Life insurance

Volunteer leave

Bright Horizons benefits

Job summary

Audax Group is seeking a Data Analyst CO-OP to join the Business Solutions team in Boston. You will support the BI strategy with hands-on data analytics, modeling, and governance, collaborating across BI, finance, and deal teams to design and maintain data models and ensure data quality.

The role emphasizes Power BI and SQL proficiency, data modeling, and experience with ETL pipelines and cloud/on-premise data warehouses. 3-4 days in office in Massachusetts.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Finance, Accounting, Analytics Engineering, or related field.
• Strong analytical and problem-solving skills.
• Previous Co-Op or full-time experience in a related field is a plus.
• Experience with large data sets and data cleaning/distillation.
• Experience with Python a plus.

Responsibilities

• Designing, implementing, maintaining and scaling Audax’s BI reporting and Semantic Layer.
• Support Business Solutions and other strategic resources functions with Power BI and Data Analytics development.
• Scale the semantic layer within the company’s cloud enterprise data warehouse.
• Design ETL processes and analytic pipelines for investment professionals.
• Assist with data governance policies, including data cataloging and data lineage.

Skills

Power BI

SQL

Data modeling

Tabular modeling

Python

Alteryx

Education

Bachelor’s or Master’s degree in Finance/Accounting/Analytics Engineering or related field

Tools

Power BI

SQL

Python

Alteryx

Job description

Audax Group is seeking a Data Analyst CO-OP to join the Business Solutions team in Boston. You will support the BI strategy with hands-on data analytics, modeling, and governance, collaborating across BI, finance, and deal teams to design and maintain data models and ensure data quality.

The role emphasizes Power BI and SQL proficiency, data modeling, and experience with ETL pipelines and cloud/on-premise data warehouses. 3-4 days in office in Massachusetts.