Talent Analytics Sr. Associate

USA-MN-Virtual, United States

RSM

RSM US LLP is the leading U.S. provider of assurance, tax and consulting services focused on the middle market.

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We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Join our Talent Analytics team within the Talent Technology Center of Excellence. Here, you will be instrumental in leveraging predictive analytics to transform how we understand and manage talent across the organization. As a Senior Analyst, you will not only handle technical analysis and data modeling but also shape the future of our analytics capabilities by spearheading projects that forecast trends and outcomes.

What You Will Do

  • Leveraging HR systems and database tools, develop and deliver ad-hoc, recurring, and on-demand / self-service analysis solutions.
  • Working with Power BI to build and maintain self-service dashboards or to craft visualizations for stakeholder presentations.
  • Advanced Predictive Analytics & Modeling: Contribute to predictive models using machine learning and natural language processing techniques. Your work will directly contribute to strategic decision-making and enhancing our predictive analytics capabilities.
  • Proactive Insight Generation: As a Talent Analytics Sr. Analyst it will be up to you to leverage your analysis skills to provide proactive insights to provide the business. The key to success in this role is your ability to break down complex concepts and tell a story from an analysis.
  • Strategic Project Management: Designing, estimating, and personally executing an analysis plan based on requirements you gather from key stakeholders. In this role you will have the opportunity to lead and manage multiple strategic projects that have a real impact on business outcomes.
  • Innovative Tool Implementation: Work closely with the Talent Systems and Technology teams to drive the adoption of cutting-edge analytics tools, optimizing them to meet evolving business needs.
  • Problem Solving: Use analytics to solve key talent business questions and provide support for core functions by incorporating proactive outreach on trends and external benchmarking.

Responsibilities

  • Using HR systems and database tools to develop and deliver ad hoc, recurring, and on-demand / self-service analysis and data solutions.
  • Independently or with a team, exploring and implementing new ways to take on data or technical challenges.
  • Designing, estimating, and personally executing an analysis plan based on a high-level functional issue description or business question.
  • Describing your own analysis and the insights you draw from it to others in HR or the business.
  • Recommending business process or system improvements to reporting capabilities and influence system owners to incorporate changes.
  • Peer reviewing SQL code/reporting and performing data validation as related to data acquisition for analytic purposes.
  • Ensuring products are delivered that are audience appropriate, adhering to HR standards for data sharing and meeting the client’s need accurately.

Education

  • Bachelor’s degree in Computer Science, Mathematics, Management Information Systems, Data Science, Statistics, Engineering or similar from an accredited college/university (Required)
  • Master’s degree in Statistics, Mathematics, Economics, Human Resources, Operations Research, Data Science or similar from an accredited college/university (Preferred)

Technical/Soft Skills

Required:

  • Minimum of 3 years using data transformation tools such as Alteryx
  • Minimum of 3 years in using SQL to query large datasets
  • Minimum of 2 years of solutioning, preparing, and visualizing data for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling)

             

Preferred:

  • Experience using RStudio or Python for automation or data processing such as statistical modeling, machine learning, or data mining
  • Strong analytical and quantitative problem-solving ability
  • Excellent communication, relationship skills and a strong team player
  • An understanding of core Human Resources functions, typical workforce management processes and related data
  • Experience in HR related systems: Workday, Cornerstone, Qualtrics, VNDLY, ServiceNow
  • Experience with other presentations tools such as PowerPoint and Visio
  • Experience defining, structuring, and documenting data
  • Experience with process documentation

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

As an Affirmative Action and Equal Opportunity Employer, all applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records in accordance with the requirements of applicable law, including but not limited to, the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the San Francisco Fair Chance Ordinance. For additional information regarding RSM’s background check process, including information about job duties that necessitate the use of one or more types of background checks, click here.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $0 - $0
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Computer Science Data Mining Economics Engineering Machine Learning Mathematics NLP Power BI Python Research SQL Statistical modeling Statistics

Perks/benefits: Career development Competitive pay Medical leave

Regions: Remote/Anywhere North America
Country: United States

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