Logo of Huzzle

Find 55,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

Lead Assistant Manager

image

EXL

1mo ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
  • Gurgaon

AI generated summary

  • You need proficiency in Excel, SQL, Python, and data visualization tools, strong skills in Time Series forecasting, data analysis experience, and excellent communication abilities.
  • You will analyze trends, create weekly forecasts using Python, monitor accuracy, manage dashboards, and collaborate with teams to deliver insights and recommendations for capacity planning.

Requirements

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

Responsibilities

  • Key Responsibilities
  • 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 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.
  • Evaluate forecast accuracy every week and present key findings around high variance days.
  • Manage forecast assessment dashboards and present in weekly huddles.
  • 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.

FAQs

What is the primary responsibility of the Lead Assistant Manager for the Data Analyst/Forecaster role?

The primary responsibility includes developing short-term demand volume forecasts and creating impactful accuracy assessment dashboards to drive data-informed decisions.

What technical skills are required for this position?

Proficiency in Excel, SQL, and Python for advanced data analysis, data extraction, and data manipulation is required. Experience with data visualization tools like Tableau or Power BI is a plus.

How much professional experience is necessary for candidates applying to this role?

Candidates should have at least 2-3 years of experience in data analytics, with a good background in Time Series Forecasting.

What analytical techniques should the candidate be familiar with?

Candidates should have advanced knowledge of Time Series forecasting techniques or Contact Center demand volume forecasting.

Will the Data Analyst/Forecaster have to collaborate with other teams?

Yes, the role involves collaboration with cross-functional teams to understand business requirements and deliver analytical solutions.

Is formal education important for this role?

Yes, a Bachelor’s or Master’s degree in Analytics, Data Science, Economics, Statistics, Engineering, or a related field is required.

How often will the forecast accuracy be evaluated?

Forecast accuracy will be evaluated weekly, and key findings will be presented regarding high variance days.

What type of forecasts will the candidate be generating?

The candidate will be generating weekly forecasts for multiple lines of business using Python models.

What is expected from the candidate in terms of communication skills?

The candidate should possess excellent communication and presentation skills, with experience delivering insights to senior stakeholders.

Will the candidate be involved in ad-hoc requests?

Yes, the candidate will work on ad-hoc requests to support business needs and derive actionable insights.

We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay

Consulting
Industry
10,001+
Employees
1999
Founded Year

Mission & Purpose

EXL Service, a leading business process solutions company, operates on a global scale, providing transformative outsourcing and technology services. The company's mission revolves around enhancing its clients' operational efficiency, reducing costs, and driving business growth through innovative solutions. EXL aims to be a strategic partner for its clients, offering expertise in areas such as finance and accounting, healthcare, insurance, and more. The purpose of EXL is to leverage advanced analytics, automation, and digital technology to empower businesses and help them navigate complex challenges. The firm is committed to delivering value and sustainable outcomes for its clients by combining domain knowledge with cutting-edge technology and data-driven insights.

Culture & Values

  • Collaboration

    Collaborate across boundaries, Take a lead in building partnerships, Grab the first opportunity to offer assistance, Celebrate others' success, Leverage the strength of diversity of EXL

  • Innovation

    Develop a deep insight into the clients' business Identify opportunities to find a better way, Positively challenge the status quo, Turn opportunities into real action, Encourage openness and dialogue

  • Excellence

    Deliver in all circumstances, Demonstrate high accountability, Practice excellence and deliver quality, Anticipate challenges and opportunities, Manage effective communication

  • Integrity

    Live the organization values, Maintain the highest ethical standards, Abide by rules, regulations and polices, Demonstrate honesty and consistency, Preserve confidentially of information

  • Respect

    Encourage and accept feedback, Embrace and respect diversity, Treat others with dignity, Deal in a fair, open and honest manner with others, Demonstrate respect for other organizations