Transaction Services - Data Analytics Senior Associate

Riveron

Chicago (IL)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Progressive benefits
Flexible working environment
Mentorship opportunities

Job summary

A leading consulting firm located in Chicago is seeking a Data Analytics Senior Associate to provide data-driven insights for complex transactions. This role involves analyzing extensive datasets to uncover trends and deliver actionable recommendations for due diligence and performance strategies. Candidates should have a degree in a related field and at least two years of relevant experience. The firm fosters a collaborative environment and offers extensive benefits, focusing on client success and employee growth.

Qualifications

  • Minimum 2 years of total relevant experience combining financial due diligence and data analytics.
  • Minimum 1 year of transaction experience focused on quality of earnings, net working capital, and cash flows.
  • You thrive in a dynamic work environment.

Responsibilities

  • Analyze extensive datasets using data management technologies.
  • Employ statistical software and programming languages for in-depth analysis.
  • Translate complex data findings into clear, strategic recommendations.

Skills

Data Visualization Tools
Data Management
Programming Languages
Statistical Software
Analytical Skills
Communication Skills

Education

Bachelor’s or master's in accounting, data science, data analytics, statistics, economics, or a related field

Tools

Alteryx
Hadoop
SQL
SPSS
Python
SAS

Job description

Transaction Services - Data Analytics Senior Associate

Base pay range: $90,000.00/yr - $140,000.00/yr

As a Transaction Services Data Analytics Senior Associate at Riveron, you will provide crucial data‑driven insights for complex transactions involving private equity and corporate clients. Your role analyzes extensive datasets to uncover trends and deliver actionable recommendations that guide clients through due diligence, post‑deal performance, and exit strategies. You’ll translate complex data into clear insights for clients and internal teams, ensuring strategic decisions are well‑informed. In this dynamic, fast‑paced environment, you will stay ahead of industry trends and emerging technologies, enhancing our analytical approach and delivering impactful results throughout the deal lifecycle.

Who You Are
  • Bachelor’s or master's in accounting, data science, data analytics, statistics, economics, or a related field
  • CPA and/or audit experience preferred but not required
  • Minimum 2 years of total relevant experience combining financial due diligence and data analytics
  • Minimum 1 year of transaction experience focused on quality of earnings, net working capital, and cash flows
  • Minimum 1 year of experience with one or more of the following:
    • Data Visualization Tools: D3.js, Tableau, PowerBI, Spotfire, or similar platforms
    • Data Management: Hadoop, SQL, Alteryx, or comparable technologies
    • Analytics Platforms: SAS, Azure, or related systems
    • Statistical Software: SPSS, Minitab, or similar packages
    • Programming Languages: Python, R, or other relevant languages
  • You thrive in an ever‑changing, dynamic work environment
  • You readily identify problems and instinctively look for solutions
  • You demonstrate analytical rigor and strong written and verbal communication skills
  • You have the ability and desire to travel as required based on client location
What You’ll Do
  • Analyze extensive datasets using data management technologies (e.g., Alteryx, Hadoop, SQL) to develop cleansed and organized datasets that serve as input into M&A models, EBITDA adjustments, net working capital analyses, or other key financial metrics.
  • Employ statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to perform in‑depth analysis and identify trends, risks, and opportunities within transaction data.
  • Translate complex data findings into clear, strategic recommendations for due diligence and transaction models.
  • Utilize analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to support high‑quality, data‑driven decision‑making and insights.
  • Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and support impactful results for clients.
About Riveron

At Riveron, we partner with clients—from global multinationals to high‑growth private entities—to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client‑centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well‑being in and out of the office.

Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.

Fraud Alert

Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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