TAS Deal Analytics

2 months ago

Gurugram, India RSM US LLP Full time

Job Synopsis

RSM is seeking a Senior Associate for Deal Analytics team within our Transaction Advisory Services group to assist in developing and executing our business analytics offerings to our middle-market clients. We work with corporate and private equity clients on complex investment decisions that involve strong analysis, extensive data modeling, and advanced data analytics. Our Deal Analytics team delivers sector focused analytics that is targeted to challenge investment hypothesis, answer key deal questions on buy-sides and substantiate equity story on sell-sides.

You will leverage your strong data and business analytics skills to enable our clients to execute their transactions while maximizing the deal value; this will ensure effective financial and operational decisions in a dynamic data-driven environment.


Responsibilities:


  • Execute and manage the data and business analytics process through all phases of the engagement lifecycle
  • Gather data, understand client’s key deal questions and issues, and formulate pragmatic solutions
  • Perform and conduct set of analyses to support business and deal related processes
  • Prepares detailed analysis of financial and operating metrics to help clients evaluate their acquisition decisions and financing requirements
  • Understand operational metrics (e.g., cost and risk profiles associated with multi-site, products, customer, and vendor portfolios)
  • Maximize revenue and growth opportunities; devise go-to-market strategy through advanced analytics
  • Work closely with the client and the RSM Transaction Advisory team to design and implement solutions revolving around sophisticated data and business analytics. Lead and collaborate to develop strategies that address client needs. Manage expectation of service delivery, monitor progress, manage risk, and ensure key stakeholders are informed of progress and projected outcomes
  • Demonstrate strong quality execution and delivery
  • Provide technical leadership to the analytics team


Minimum Qualifications


  • Bachelors degree with a minimum of 2 years of work in analytics
  • Degree in accounting or finance or computer science
  • MS Excel (including Power Pivot and Data Model)
  • Experience with Tableau and/or Alteryx
  • Experience with data analytics tools such as MS SQL, Power BI or other BI/ETL tools
  • Experience in leading teams on projects focusing on data and business analytics
  • Strong analytical, project management, communication, teamwork, and interpersonal skills
  • Ability to manage multiple competing priorities simultaneously to meet tight deadlines and drive projects to completion – independently with minimal supervision
  • Ability to work creatively and analytically in a time-limited, problem-solving environment


Preferred Qualifications


  • Experience working on live deals is strongly preferred
  • Experience in advising clients from different industry verticals such as Consumer, Industrials, Business & Professional services, or TMT
  • MS Excel VBA skills are preferred
  • Experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
  • Exposure to Azure cloud environment is preferred


Key Skills to Accelerate Career


  • Strong skills in critical thinking, problem identification, resolution, and process improvement.
  • Evaluated as an exceptional performer in current position
  • Excellent interpersonal and communication skills to interact effectively with internal team members and external clients of the firm
  • Demonstrates willingness to invest time in communication with U.S. based teams
  • Ability to be a self-starter and to be confident when interacting with team members, clients and asking questions
  • Able to work within tight deadlines and take responsibility for getting the job done in a timely manner
  • Preferred industry experience in one or more of the following: manufacturing, distribution, consumer products, business services, or technology

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