Sr. Analyst, FP&A

4 days ago

Greater Chennai Area, India Corpay Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Your role
The Lodging Payments Group is seeking a detail-oriented, intellectually curious Data Analyst with 1 to 4 years of experience to join our team. The ideal candidate will have strong problem-solving skills, proficiency in data analysis tools, and the ability to translate complex data into actionable insights, including customer behavior and trend insights and forecasts of volume and revenue. The role will report to the Manager, Financial Planning & Analysis (FP&A).

Responsibilities
What you'll be doing

  • Collaborate with cross-functional teams to understand their data needs and provide solutions.
  • Establish and execute a regular reporting cadence of key financial and performance metrics

  • Together with the Data Analyst:

  • Collect, analyze and communicate data from various source systems to support business decisions.

  • Identify trends, patterns, and anomalies in data sets.
  • Develop and maintain databases, data systems, and data analytics tools.
  • Create and present detailed reports and dashboards to stakeholders.
  • Monitor data quality and ensure data integrity.

Requirements

  • Bachelor's (or equivalent) degree in Economics, Finance or Accounting. Degrees in Data Science, Statistics, Computer Science, or a related field will be considered, provided the candidate has a strong working knowledge of financial concepts, including investment, return, forecast accuracy, and understands the relationships across financial statements. Master's Degree is a plus.
  • 4 to 7 years of experience in data analysis or a related role.
  • Strong analytical skills and attention to detail.
  • Excellent communication skills, both written and verbal.
  • Ability to work independently and collaboratively in a team environment.
  • Strong working knowledge of and proficiency in Microsoft Excel, including INDEXMATCH, V/H/XLOOKUP and SUMIF(S), among others
  • Proficiency in data analysis tools such as SQL, Python, R, or equivalent tools to enable working with large data sets is a plus, but not required.

Preferred Qualifications

  • Working knowledge of regression analysis (to use for forecasting future volumes at a customer level for up to 18 months)
  • Experience with data visualization tools such as Tableau or Power BI is a plus.

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