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Senior Manager, Analytics

Skidmore, Owings & Merrill (SOM)
New York, United States, United Statesfull_timeVerifiedPosted 20 Dec 2024
💰 $160,000/yr($145,000/yr$160,000/yr)

About the role

At SOM, we are a collective committed to shaping a better future for our clients, communities and planet. We aspire to create the most sustainable, impactful work through creative, interdisciplinary teams with all the resources and diversity of a global firm.  We value those who are passionate about excellence, innovation, integrity, inclusivity, and collaboration.  Together we can achieve great things.

Success at SOM Means

  • Ideas:  We believe in a meritocracy of ideas.  We look to everyone to actively contribute to the discourse in the firm.  

  • Knowledge:  We believe that expertise is the result of lifelong learning.  We are not expected to know everything, but rather to passionately pursue answers, develop new skills and deepen our knowledge.

  • Product:  We strive for excellence in the concept, quality, and delivery of our work.

  • Individual: We value individuals who bring the highest standards of professionalism and personal integrity in the way they work.  Each person can develop and contribute their wealth of attributes, skills and knowledge to support the overall health of the firm.

  • Team: We value the power of interdisciplinary integration.  A positive team culture in which everyone collaborates openly towards common goals is essential.

  • Firm: We have a history of making transformative contributions to the profession and our communities. We are constantly innovating and attempting to bring new approaches, solutions and processes to our work.

An emerging role within SOM, the Senior Manager, Analytics will work closely with the Global Leader of Analytics to carry out a thorough data and reporting strategy for financial and business-critical information, including optimizing data integration from main business systems, implementing best practices and standardizing group procedures, and developing interactive, visualized reporting for key business stakeholders. This role will also be responsible for training junior analysts and supporting the group’s overall report development and production.

This is a hands-on role that requires both analytical and leadership skills. The ideal candidate is a strong technologist able to conceive and implement full-scale projects with large impacts start to finish.  Providing strategic analysis and delivering high-level recommendations derived from reporting and analysis will be crucial responsibilities for this role.

Position Responsibilities

  • Work with multiple end-user groups to lead cross-functional projects, such as finance, accounting, leadership or marketing, to develop reporting and analysis programs. Design, develop and deliver accurate, fast and interactive reporting to key business stakeholders.

  • Manage, administer and optimize global data processes for intake, validation, mining, and data quality management. Develop global standardized processes for report development, testing, visualization and rollout.

  • Oversee and standardize the report request process - tracking requests and working with firmwide leadership on prioritization, approvals and rollouts.

  • Ensure data quality, including developing error and qa/qc reporting as necessary.

  • Develop technical solutions for business problems. Identify areas of improvement in data and reporting practices; suggest solutions and work with leadership to prioritize group initiatives.

  • Research, analyze and present information pertinent to business performance or company goals/aims, such as market research, opportunities for improvement, company objectives, or firm problem solving.

  • Implement automation and utilize streamlined reporting where possible to improve functionality, accuracy and efficiency of all team members 

  • Department resource for training, developing and mentoring junior analysts - responsible for managing juniors, including career track and project development.

  • Build, develop and maintain data models to optimize system processes. Synthesize business needs and create business process maps used to build analysis and data models.

  • Collaborate with the Office of Technology on data warehousing efforts, ensuring best practices are met.

  • Fostering the development of a global data culture - helping internal teams make user­-driven, evidence-based decisions around finance, business strategy, marketing, and workforce.

  • Lead measurement/analytics programs for Finance & Accounting across multiple offices and disciplines. Pla

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Company

Skidmore, Owings & Merrill (SOM)

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