Deloitte

Coordinate with FP&A and Strategic Finance personnel to identify, collect and validate data from client databases. Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar. Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.). Experience performing ETL/data manipulation using Alteryx or similar tools. Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.

advisory senior consultant

Are you looking for a fast-paced, exciting and dynamic work environment to challenge your existing skills? Are you interested in solving complex business issues? If so, Deloitte is seeking Senior Consultant-level candidates for its M&A Transactions Services Analytics practice.

Today's M&A due diligence environment generates vast volumes of data and information, and almost all of this information is captured and stored in digital form.

Our clients include Fortune 500 companies in technology, financial services and banking sectors, health care, telecommunications and other industries, as well as the most dynamic private equity firms in the world.

Work you'll do

First, you will be key member of client deal teams through gathering, normalizing, validating, and analyzing transactional data (e.g., sales and inventory data) to develop and test hypotheses for a given deal. You will work as part of cross-functional teams providing financial, accounting, operational and tax due diligence, bringing your skills to the deal to manage and analyze the data, and utilize your visual analytics skills to tell a compelling story of our findings.

Second, you will be using business intelligence tools and use your data analytic skillset to provide meaningful insights to our clients which are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction.

A candidate can expect to do some or all of the following:

Coordinate with FP&A and Strategic Finance personnel to identify, collect and validate data from client databases
Analyze financial & key performance indicator deal data for trends and outliers
Identify opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
Directly advise clients
Excellent verbal and written communication skills are essential, as well as demonstrable evidence of effective team leadership, client relationship development, project management, and engagement management, preferably in a client service setting

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a "back-office" position; this is front-line client interaction with significant opportunity for growth and advancement.

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process. Learn more about Deloitte Risk and Financial Advisory's Mergers and Acquisition practice.

Qualifications

Required:

Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
Minimum 2 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
Demonstrated knowledge of advanced business analytics and data mining solutions
Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
Experience analyzing or managing accounting, financial or transactional data
Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred:

Strong working knowledge of data structures and database design
Knowledge of GAAP, particularly revenue recognition and ASC 606
Experience performing ETL/data manipulation using Alteryx or similar tools
Experience designing data visualizations with Tableau, Power BI, or similar tools
Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
Statistical methods in support of data analysis
CPA, CA certification
Master of Business Administration or similar degree

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,074 to $218,212.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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