Concentrix Off Campus Hiring For Analyst - Forecasting

Concentrix Hiring For Analyst – Forecasting (Concentrix, Bangalore)

Position: Analyst – Forecasting
Location: Bangalore, India
Experience Required: 0.6 to 2 years
Department: Workforce Management / Business Analytics / Forecasting

Key Responsibilities:

Analyze historical data trends to generate accurate short-term and long-term forecasts.
Develop, update, and maintain forecasting models using tools like Excel, SQL, or forecasting software.
Collaborate with operations, workforce, and planning teams to understand business requirements and incorporate them into forecasting strategies.
Provide actionable insights and recommendations based on forecast variance analysis.
Participate in weekly/monthly capacity planning meetings and forecast review sessions.
Ensure timely reporting and dashboard creation to aid decision-making.
Automate repetitive tasks using scripting or automation tools to increase efficiency.

Qualifications & Technical Skills Required:

Qualification: Graduation
High proficiency in Excel & Power BI tools is a must.
Experience in developing machine learning models like classification, linear/logistic regression.
Ability of analyzing huge datasets and hands on experience of forecasting for large and complex attributes
Analytical and good understanding of contact center metrics
Mathematical and Statistics and exposure to R-studio/python.
Strong business acumen
Should be a good communicator and a collaborator
Core forecasting experience 0.6-2 years in a BPO/Contact center environment
Presentation skills – essential
Strong proficiency in Excel (formulas, pivot tables, charts, what-if analysis).
Hands-on experience with forecasting models and time series techniques.
Working knowledge of SQL for data extraction and manipulation.
Familiarity with WFM tools (like NICE IEX, Verint, Aspect) is a plus.
Exposure to Python, R, or Power BI/Tableau is an added advantage.
Basic understanding of call center metrics (AHT, shrinkage, occupancy, SLAs).

Soft Skills:

Analytical and problem-solving mindset.
Excellent communication skills (verbal and written).
Attention to detail and accuracy.
Ability to work in a team and cross-functional environment.

Apply Link : Click Here

✅ Technical Interview Questions and Answers

Excel & Forecasting :

Q1. How do you build a time series forecast in Excel?
A:
I typically start by organizing historical data with dates and values in columns. I then use Excel’s built-in forecast functions like FORECAST.LINEAR() or Data Analysis Toolpak for regression. For more advanced models, I use moving averages or exponential smoothing to identify trends and seasonality.

Q2. What is a moving average? How is it used for forecasting?
A:
A moving average smooths out short-term fluctuations and highlights longer-term trends. For example, a 3-month moving average takes the average of the current and past two months. It’s useful in eliminating noise from data to better understand the trend.

Q3. How would you calculate forecast accuracy?
A:
Common metrics include:

MAPE (Mean Absolute Percentage Error): =ABS((Actual - Forecast)/Actual)*100
RMSE (Root Mean Square Error): Measures the standard deviation of prediction errors.
These help in comparing forecasting models and improving performance.

Q4. How do you use “What-If Analysis” in Excel?
A:
I use Scenario Manager, Goal Seek, and Data Tables. For example, in workforce planning, I use it to simulate changes in call volume, AHT, or shrinkage to see how staffing needs will change.

Q5. Difference between Linear Regression and Exponential Smoothing?
A:

Linear Regression fits a straight line to the data, good for long-term trends.
Exponential Smoothing gives more weight to recent observations, better for short-term forecasting with seasonal or irregular patterns.

SQL :

Q6. Write a query to get average call volume per week for past 6 months.
A: SELECT DATEPART(week, call_date) AS WeekNumber, AVG(call_volume) AS AvgCalls FROM call_data WHERE call_date >= DATEADD(month, -6, GETDATE()) GROUP BY DATEPART(week, call_date) ORDER BY WeekNumber;

Q7. What is the difference between JOIN and UNION?
A:

JOIN combines columns from multiple tables based on a condition.
UNION combines rows from two queries with the same column structure.

Q8. What is the use of GROUP BY and HAVING?
A: GROUP BY aggregates data (like count or average). HAVING filters those aggregated results.
Example:

Forecasting Concepts :

Q9. What factors influence call volume forecasting?
A:

Historical call trends
Marketing campaigns
Seasonality (holidays, festivals)
Product launches or changes
External factors like weather or service outages

Q10. How does shrinkage affect workforce planning?
A:
Shrinkage includes time agents are paid but not available (breaks, training, etc.). If we don’t account for it, we’ll under-staff. We calculate effective staffing needs by factoring in shrinkage into forecasted call volume and AHT.

Q11. How do you handle forecast deviations?
A:
First, I compare actual vs forecast and calculate deviation. Then I analyze root causes (e.g., unexpected events, wrong assumptions). I document learnings and refine the model or assumptions for next cycle.

💬 Behavioral / HR Questions with Answers :

Q1. Tell me about yourself.
A:
I’m a data-driven analyst with around 1 year of experience in workforce planning and forecasting. I’ve worked with Excel, SQL, and Power BI to analyze trends and build forecasting models. I enjoy translating data into actionable insights and am eager to grow my career in a dynamic company like Concentrix.

Q2. Why do you want to join Concentrix?
A:
Concentrix is known for its innovative culture, global presence, and investment in analytics and workforce technologies. I want to be part of a team that values data-driven decisions and provides opportunities for continuous learning.

Q3. Tell me about a time your forecast was wrong. What did you do?
A:
Once, I overestimated support volume due to an assumption about a product launch date. When the forecast was off, I immediately investigated, found the cause, and revised the forecast. I added a checkpoint step in my process to validate assumptions with stakeholders.

Q4. How do you prioritize tasks under pressure?
A:
I list out tasks by urgency and impact. I use tools like Trello or Excel to manage deadlines and dependencies. I also proactively communicate with my manager if any blockers arise.

Q5. Are you open to rotational shifts or weekend work?
A:
Yes, I understand that forecasting and planning can require flexibility, especially in BPO environments. I’m open to rotational shifts and working on weekends if required.

Concentrix Off Campus Hiring For Analyst – Forecasting