Lead Assistant Manager

Job Description: Data Analyst/Forecaster

We are seeking a highly skilled Data Analyst/Forecaster to join Capacity and Forecasting team. The ideal candidate will excel in data handling, manipulation, and extraction using Excel, Python, SQL and PowerBI. You will be responsible for developing short term demand volume forecasts and creating impactful accuracy assessment dashboards to drive data informed decisions. Strong analytical skills and a passion for turning data into actionable insights are essential for this role.

Key Responsibilities:

• Analytics & Insights:
  • Analyze historical trends and seasonality to make informed decisions.
  • Conduct in-depth analysis using Excel or Python to identify key drivers of change in volume.
• Generate Forecast:
  • Generate weekly forecasts for multiple lobs using Python models.
  • Monitor and adjust forecasts based on trends, seasonality, and business updates.
  • Enter the forecasts in WFM tool Calabrio to optimize capacity planning.
• Forecast assessment:
  • Evaluate forecast accuracy every week and present key findings around high variance days.
  • Manage forecast assessment dashboards and present in weekly huddles.
• Stakeholder Collaboration:
  • Present analytical findings and strategic recommendations to stakeholders, especially around critical weeks like holidays
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions

Required Skills & Expertise:

• Technical Skills:
  • Proficiency in Excel, SQL and Python for advanced data analysis, data extraction and data manipulation
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Analytical Acumen:
  • Advanced knowledge of Time Series forecasting techniques or Contact Center demand volume forecasting
  • Ability to work with large datasets and extract meaningful insights to generate forecasts
  • Ability to work on ad-hoc requests to support business needs and derive actionable insights
• Problem-Solving & Communication:
  • Strong problem-solving skills, with the ability to translate complex analytical findings into clear and actionable recommendations.
  • Excellent communication and presentation skills, with experience delivering insights to senior stakeholders.

Candidate Profile:

• Educational Background: Bachelor’s/Master’s degree in Analytics, Data Science, Economics, Statistics, Engineering, or a related field.
• Professional Experience: At least 2-3 years of experience in the data analytics with good experience of Time Series Forecasting.