Staff infrastructure business operations analyst
6 days ago
Linked In was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Searching for your dream job? At Linked In, we strive to help our employees find passion and purpose. Join us in changing the way the world works. At Linked In, we’re hiring an Infrastructure Staff Infrastructure Business Operations analyst for planning and spend management function for our engineering infrastructure. This is a great opportunity to join a globally recognized company experiencing significant growth and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greaterThe successful candidate will help the Infrastructure Business Engineering team gather, analyze, and organize information in effort to continuously identify ways to improve Linked In’s bottom line. They will help manage the budget, track industry and competitive trends, develop forecasting models and scenario analysis, examine performance, spot opportunities, identify threats, look for novel solutions, and develop creative action plans within Engineering. The candidate will focus on both long-term decisions and the prioritization of short-term actions. At Linked In, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a Linked In office, depending on what’s best for you and when it is important for your team to be together.Responsibilities: Partner with leadership to provide business solutions that enable scalable and cost-effective growth of Linked In’s global infrastructure. Proactively engage service owners to identify business needs and build business plans and cost models to understand financial impact and aid decision making. Help develop budget plans in partnership with FP&A and engineering managers. Partner with leaders to develop deep understanding of their technologies and business operation’s needs. Lead optimization initiatives, proactively supporting leaders in making optimized service total cost of ownership decisions. Drive transformational change to the way we manage business operations at Linked In through developing and implementing new solutions, systems, processes, and tools that focus on identifying and executing on cost optimization opportunities. Design, develop, and deploy operating framework to manage infrastructure business operations including all aspects of budget management with regular performance reviews. Lead monthly budget review process, collaborating with leadership to draw insights and develop appropriate action plans to meet budget targets. Refine and manage business operations metrics. Integrate budget with procure-to-pay processes and systems to ensure all purchases and payments link to plans, providing systematic way of cost transparency through automation. Complete understanding on Sourcing, procurement and payments impacting Monthly, Quarterly and annual spend and budgets. Act as a lead to tie all processes to arrive at insights that help leadership with decision makingBasic Qualifications: Degree/PG in business, Economics, Statistics, Computer Science, or a related field. Master’s degree preferred.10+ years of experience implementing and/or managing business operations solutions and projects in global infrastructure industry.5+ years of experience in management consulting, business strategy, financial planning & analysis, and/or budget management related to infrastructure operations5+ years of experience in leadership, managing teams supporting global operations Experience with statistical analysis software (e.g., R, Python) is a plus. Excellent analytical and problem-solving skills.Preferred Qualifications: Engineering degree or MBAExperience in the tech industry or relevant domain & understanding of financial metrics and performance analysis. Track record of exhibiting end-to-end ownership and efficient problem solving Demonstrated ability to lead project teams, influence peers, senior management, and stakeholders, and deliver results in a cross functional environment. Proven track record of executing under tight deadlines and ensuring deliverable timelines are met. Working knowledge of financial concepts such as capital & operational expenses, depreciation & amortization, accrual, fixed assets, cost center, chart of accounts, etc. Demonstrated technical understanding of infrastructure technologies such as datacenter, network, system, storage, voice & video, end-user computing, and enterprise IT systems. General knowledge of procure-to-pay process – purchase requisition & order, pricing & quotes, invoice & payments. Strong analytical, organizational, and written/verbal communication skills Demonstrated leadership potential with previous experience in a mentoring or supervisory role Ability to work independently and as part of a team in a fast-paced environment.- Suggested Skills: Business/Infrastructure Operations Solutions Management consulting Analytical and problem-solving skills You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy Linked In is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which Linked In handles personal data of employees and job applicants:
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