Title: BI & Analytics Analyst
Job Type: Permanent, Full-Time
Pay Range: $100,000 - $105,000
Start Date: ASAP
Location: Hybrid (4 days a week onsite, Monday through Thursday) in Seaport, Boston
About the Opportunity:
Our client, a leader in Professional Services, is looking for a skilled BI & Analytics Analyst to join their team for a permanent, full-time engagement. This role is essential for providing critical insights to the firm's leadership and operational teams, driving actions that contribute to the firm’s bottom line. You will partner cross-functionally with the finance organization, including FP&A, Pricing, and Accounting. This is a high-impact role that requires a self-motivated professional who is adept at both data modeling and data visualization.
Key Responsibilities & Deliverables:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:
- Transforming disparate data sources into scalable data products and visualizations that effectively communicate business insights.
- Ensuring the highest standard of data integrity and quality through the development of robust and automated quality control processes.
- Evaluating and enhancing operational processes and data workflows for scale, simplicity, and reliability.
- Creating dashboards using Tableau.
- Supporting the BI&A team in providing critical insights to leadership and operational teams.
Required Skills & Experience:
The ideal candidate will have:
- 2-3 years of work experience in a business intelligence / analytics role, preferably with some exposure to legal or professional services.
- A Bachelor’s Degree required, preferably in a quantitative discipline (e.g., Computer Science, Statistics, Engineering, Mathematics, or similar).
- Deep expertise in SQL, Python, and demonstrated proficiency with data visualization tools such as Tableau and PowerBI (Looker, Thoughtspot also a plus).
- Proficiency with data prep tools (e.g., Microsoft Fabric Notebooks & Data Pipelines, Tableau Prep, Alteryx).
- Familiarity with data warehousing technology like Snowflake is preferred.
- Demonstrated proficiency with MS Excel, including advanced features such as pivot tables and VLOOKUP.
- Ability to analyze, structure, and contextualize vast, unstructured, or incomplete data.
- Strong verbal and written communication / presentation skills.
- Familiarity with finance and accounting fundamentals.
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