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Sr. Business Program Specialist, Strategic Initiatives

This position is responsible for data analysis and reporting needs for the Office of Strategic Initiatives (OSI) in support of Business Services. The Sr. Specialist will support the Strategic Initiatives team, collaborating with internal clients at Administrative Services, Office Experience, Meeting & Event Services, DTickets, Sponsorship and others, to support and implement high-quality and data-driven decisions. The role covers data needs related, but not limited to, space management, headcount, meetings, and financial metrics supporting strategic priorities and participates in a variety of special projects involving data analysis, business operations, and data management.

As a Reporting Sr. Specialist your responsibilities will include:

• Creating, updating, and enhancing reports (e.g., Excel, Tableau, Power BI) with precision and effectiveness based on data coming from a variety of business systems and data warehouses (SQL queries, Hana, MS Access database)

• Providing first line resolution and client support for data requests and partnering with OSI peers and management accordingly

• Growing the analytics and Business Intelligence across teams or clients supported by OSI to assist in building a data-driven culture

• Administering and executing processes using broad knowledge of business programs to ensure analytics and reporting objectives

• Reviewing existing processes to identify improvement areas and opportunities to influence business decisions

• Supporting reports using SQL Server Reporting Services (SSRS) and creating macro driven Excel workbooks, increasing efficiencies and best practices

• Maintaining SharePoint sites and procedural documents

  Relevant Business and Technical Skills:

• Excellent written and verbal communication skills with ability to communicate effectively to a variety of audiences, including leadership

• Advanced knowledge of Tableau, Power BI, SQL, Excel, and PowerPoint

• Strong data modeling and data wrangling skills

• Basic to moderate knowledge of Python and Machine Learning

• Strong analytical skills with consistent diligence to drive business insights through data analysis

• Ability to analyze and report data using and interactive visualization

• Strong problem solving and consultative skills

  Primary Qualifications:

• Bachelor's or master's degree with quantitative and analytical background preferred

• 3-5 years of related work experience in a data-driven role

• Strong time management and presentation skills

• Ability to meet tight deadlines, and work overtime when needed

• Ability to work virtually with colleagues around the globe

  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 $72,900 - $134,300 .

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.

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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.