EY-Parthenon - Trans Diligence - Transaction Analytics - Manager - Multiple Positions - 1722508

EY-Parthenon

New York (NY)

On-site

USD 101,724 - 237,357

Full time

14 days+
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Benefits offered by this job

Continuous learning
Career growth opportunities
Leadership development
Diverse and inclusive culture

Job summary

EY-Parthenon in New York is seeking a Manager for Transaction Diligence and Transaction Analytics to lead data‑driven financial due diligence and market intelligence projects. You will query data repositories, identify patterns, and build sophisticated analyses to support buy‑side and sell‑side decisions.

You’ll present findings clearly to clients and senior leaders, guiding teams across diverse disciplines.

Qualifications

  • Bachelor’s degree plus 5 years progressive related work experience, or Master’s degree with 3 years of related experience.
  • 3 years of experience leveraging accounting skills, including 1 year in a mergers and acquisitions environment.
  • 3 years of combined experience analyzing data for financial due diligence and/or audit.
  • 3 years of experience with MS Excel, PowerPoint, and Word for data analysis, intelligence and reporting.
  • 3 years of experience with data visualization, data management, analytics platforms, statistics, or programming (e.g., D3js, Tableau, PowerBI, Hadoop, SQL, Alteryx, SAS, Azure, SPSS, Minitab, Python, R).
  • Domestic travel up to 50% to serve client needs.

Responsibilities

  • Produce financial and/or market intelligence by querying data repositories and generating periodic reports.
  • Devise methods for identifying data patterns and trends in available information sources.
  • Analyze large and complex datasets and build sophisticated transaction‑driven analysis to help address our client’s challenges in fast‑changing markets.
  • Present findings to clients and leadership in a way that is easily understood by transaction professionals at all levels.
  • Use data to solve complex challenges.
  • Constantly research industry trends and technologies, including seasonality and cyclicality on cash flow requirements to provide knowledge and insight to clients.
  • Manage and motivate teams of professionals with diverse skills and backgrounds.
  • Consistently deliver quality client services by monitoring progress.
  • Demonstrate in‑depth technical capabilities and professional knowledge.
  • Maintain long‑term client relationships and networks.
  • Cultivate business development opportunities.

Skills

Excel
PowerPoint
Tableau
Power BI
D3js
SQL
Python
M&A experience

Education

Bachelor’s degree in Accounting, Business, Finance, Economics, Statistics, Data Analytics, or related field
Master’s degree in the same fields

Tools

Tableau
Power BI
Hadoop
SQL
Alteryx
SAS
Azure
SPSS
Minitab

Job description

Job Overview

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Job Title

EY-Parthenon – Transaction Diligence – Transaction Analytics – Manager – Multiple Positions – 1722508, Ernst & Young U.S. LLP, New York, NY.

Role Summary

Provide data analytics‑driven solutions that enhance our client’s decision‑making including buy‑side and sell‑side financial due diligence. Produce financial and/or market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources. Analyze large and complex datasets and build sophisticated transaction‑driven analysis to help address our client’s challenges in fast‑changing markets. Present findings to clients and leadership in a way that is easily understood by transaction professionals at all levels. Use data to solve complex challenges. Constantly research industry trends and technologies, as well as seasonality and cyclicality on cash flow requirements to provide knowledge and insight to clients.

Responsibilities
  • Produce financial and/or market intelligence by querying data repositories and generating periodic reports.
  • Devise methods for identifying data patterns and trends in available information sources.
  • Analyze large and complex datasets and build sophisticated transaction‑driven analysis to help address our client’s challenges in fast‑changing markets.
  • Present findings to clients and leadership in a way that is easily understood by transaction professionals at all levels.
  • Use data to solve complex challenges.
  • Constantly research industry trends and technologies, as well as seasonality and cyclicality on cash flow requirements to provide knowledge and insight to clients.
  • Manage and motivate teams of professionals with diverse skills and backgrounds.
  • Consistently deliver quality client services by monitoring progress.
  • Demonstrate in‑depth technical capabilities and professional knowledge.
  • Maintain long‑term client relationships and networks.
  • Cultivate business development opportunities.
Working Hours

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

Minimum Requirements
  • Must have a Bachelor’s degree in Accounting, Business, Finance, Economics, Statistics, Data Analytics, or related field plus 5 years of progressive, post‑baccalaureate related work experience. Alternatively, a Master’s degree in the same fields plus 3 years of related work experience is acceptable.
  • Must have 3 years of experience leveraging accounting skills, of which 1 year must be in a mergers and acquisition‑oriented environment.
  • Must have 3 years of combined experience analysing data for financial due diligence and/or audit.
  • Must have 3 years of experience working with MS Excel, PowerPoint, and Word, or other software to perform data analysis, intelligence and reporting functions.
  • Must have 3 years of experience with one or a combination of the following:
    • Data visualization: D3js, Tableau, PowerBI, Spotfire, and/or related;
    • Data Management: Hadoop, SQL, Alteryx, and/or related;
    • Analytics Platforms: SAS, Azure, and/or related;
    • Statistical Packages: SPSS, Minitab, and/or related;
    • Programming languages: Python, R, and/or related.
  • Requires domestic travel up to 50% in order to serve client needs.
Compensation

The base salary for this job is $169,541.00 per year. In addition, the Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a range of paid time off options.

Benefits & Perks
  • Continuous learning: develop mindset and skills to navigate whatever comes next.
  • Success defined by you: tools and flexibility to make a meaningful impact.
  • Transformative leadership: insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: embraced for who you are and empowered to use your voice to help others find theirs.
Equal Employment Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

Accommodation Statement

EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation, please call 1-800-EY-HELP3, type Option 2 (HR‑related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.

Eligibility

This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750.

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