Data Analyst, Business Solutions Co-Op
: Job Details :


Data Analyst, Business Solutions Co-Op

Audax Group

Location: Boston,MA, USA

Date: 2024-09-19T06:48:47Z

Job Description:

Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, and London. Since its founding in 1999, the firm has raised over $40 billion in capital across its Private Equity and Private Debt businesses. With more than 400 employees and approximately 180 investment professionals, the firm is a leading capital partner for North American middle market companies. For more information, visit the Audax Group website www.audaxgroup.com. POSITION SUMMARY: Audax is looking for a dynamic, motivated Data Analyst Co-Op to join the business solutions team. This position will be responsible for supporting the company's Business Intelligence ( BI ) strategy with hands-on experience in data analytics, data modeling, and Business Intelligence. You will collaborate with the business intelligence, finance, strategic resources and deal teams and to design, develop, and maintain data models, ensure data quality and integrity, and contribute to the expansion of the company's BI strategy. RESPONSIBILITIES:Designing, implementing, maintaining and scaling Audax's BI reporting and Semantic Layer

  • Supporting Business Solutions and other strategic resources functions with Power BI and Data Analytics development.
  • Work with professionals to scale their semantic layer within the company's cloud enterprise data warehouse.
  • Play an integral role in designing ETL processes and analytic pipeline for investment professionals.
  • Assist with implementation of data governance policies, including data cataloging and data lineage.
  • Provide data validation and data quality assessments. Identifying and resolving data anomalies.
Technology Competencies
  • Proficient in Power BI and SQL required.
  • Experience designing and implementing optimal data models.
  • Familiarity in on-premise and cloud-based databases a plus.
  • Familiarity in tabular modeling a plus.
REQUIREMENTS/QUALIFICATIONS:
  • Currently pursuing a Bachelors or Masters in Finance, Accounting, Analytics Engineering, or another related field.
  • Strong analytical and problem-solving skills.
  • Previous Co-Op or full-time experience in a related field is a plus.
  • Experience taking large data sets, and cleaning/distilling these datasets.
  • Experience with python a plus
  • Experience with Alteryx and it's advanced capabilities a plus.
  • Strong written and oral communication skills required.
  • Ability to interact in an efficient and meaningful way with all levels of the organization required.
LOCATION: Boston, MA. This position is 40 hours/week and in the office 3 days/week. These in-office requirements may be adjusted based on the needs of the business. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Audax Management Co. is an equal opportunity employer. Please note that Audax Group and its affiliated entities do not accept unsolicited resumes from a third-party recruiting agency not currently under a signed agreement. Any unsolicited resume that is sent to directly to Audax Group or one of its affiliated entities, or its employees, including those submitted to hiring managers by a third-party recruiting agency not currently under a signed agreement, will be considered property of Audax Group. If a third-party recruiting agency submits a resume without an agreement, Audax Group or its affiliated entities explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the third-party recruiting agency. Any third-party recruiting agency should contact either a member of the Talent Acquisition or Human Resource team at Audax Group, in conjunction with a valid, fully executed contract for service based upon a specific job opening.
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