Operations Data Analyst

2 months ago

new york city, United States HireTalent - Diversity Staffing & Recruiting Firm Full time

Operations Data Analyst (Budgeting/forecasting)

28 West 23rd Street, 8th Floor, New York, NY 10010 – Hybrid

Long-term Contract


Description:

Client is seeking an 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

Provide support to the Global Enablement team on day-to-day activities including:

  • 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
  • 4-5 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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