Business Operations Analyst

Found in: Appcast Linkedin GBL C2 - 2 weeks ago

New York, United States HireTalent - Diversity Staffing & Recruiting Firm Full time

Client: A leading cosmetic firm based in the USA

Job Title: Business/Data Analyst (Heavy Operations)

Location: New York City, NY (Hybrid 2-3 days)


Job Description:

  • Client Online is seeking a Product Analyst with a passion for data and solutions.
  • Primary role will be the data partner for agile teams to support the transformation from project-based to team-based funding towards Digital Experience's key strategic initiatives.
  • You will play a crucial role in furthering the use of budget data to drive decisions by analyzing and interpreting data to uncover valuable insights.
  • Reporting to Senior Product Manager of Online DTX Global Enablement; collaboration is key as we work across multiple brands and markets globally.
  • The right candidate has strong critical thinking and problem solving skills, is self-driven, detailed while clear and concise, and focused on consistency and standardization while embracing change in an iterative, ever-evolving organization.
  • This role will require the candidate to monitor data and provide recommendation of waste to drive increased efficiency.


Responsibilities:

  • Analyze and provide innovate and insightful budget reports that helps to influence and guide stakeholders to make the best-informed investment decisions
  • Conduct and deliver analysis on requests and apply reporting and visualization expertise to solve business problems and optimize operations
  • Lead monthly budget planning calls with teams, internal standup with Budget Data Analysts and weekly standup with Finance Team; ensuring there's an agenda, taking recaps with clear action items
  • Ensure data accuracy and integrity by cleaning data and correcting any issues. Data quality are accurate to produce relevant business insights
  • Create and identify metrics from various sources to highlight patterns, trends, and opportunities
  • Help build reports, dashboards, and data visualizations to facilitate ad hoc analysis and improve data-driven decision making at all levels of the business
  • Develop and enable adoption of business metrics. Develop a data pipeline to report key operational metrics at a regular cadence, improve accuracy of estimations for initiatives
  • Collaborate with cross-functional teams, to understand data requirements and deliver actionable insights
  • Manage budget allocation while actively communicating with senior stakeholders to keep track of budgetary requests and initiatives details
  • Analyze the Long Range Planning process while developing financial and forecast planning that support key business strategies and objectives, and collaborate with cross-functional Teams to develop the plan to ensure investments are reflected in respective brand financial plans globally
  • Handle confidential and non-routine information when necessary


Qualifications

  • BS or BA required or equivalent practical experience
  • 5+ years of experience as analyst or similar role, preferably in a product-focused environment
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Experience in budget analysis, scenario planning, forecast modeling, and analysis for strategic decision-making
  • Experience working with large datasets, conducting statistical analysis, and manipulating data for insights
  • Experience in an analytical role with designing and leading adoption of business metrics (e.g. tracking and reporting to stakeholders)
  • Excellent communication and presentation skills, with the ability to influence stakeholders and drive continuous improvement
  • Advanced Microsoft Excel skills with macro proficiency
  • Experience with low/no code solution like Appsheet, Microsoft PowerApp, Airtable
  • Familiarity with data visualization tools (i.e. Google Looker, PowerBi, Tableau), to create compelling visualizations and reports
  • Familiarity of Lean Agile Budgeting and OKRs

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