Quant Analytics Associate - Mumbai
16 hours ago
Job description
Job responsibilities:
- Identify opportunities to enhance existing call volume and productivity forecasting process.
- Monitor, Evaluate, and Improve Forecast Accuracy: Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings, and use common sense approaches to explain changes and reasons for error.
- Possess strong interpersonal skills for partnering with various levels of the organization and influencing results.
- Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
- Take complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture.
- Explore opportunities for creating frameworks for automation using Python.
- Stay Informed on Industry Trends: Keep abreast of industry trends, emerging technologies, and best practices in forecasting to ensure the organization remains competitive and innovative in its approach.
Required qualifications, capabilities and skills:
- Applied knowledge of 3+ years experience in business planning and processes: significant forecasting experience, and strong modeling background required. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data.
- Educational Background: MS/PHD Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering
- Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.
- Quantitative Mindset: Strong operational analytic/strategy mindset to identify opportunities and solve them through data and business insights using advanced mathematical approaches. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas.
- Data Analytics and Software Proficiency: Experience leveraging analytical and statistical tools such as time series, regression, and other forecasting techniques using Python, R, or SAS.
- Communication skills: Superior written and oral presentation / communication skills the ability to convey complex information simply and clearly to senior leadership. Demonstrated understanding of business value drivers and aligning teams to achieve business objectives.
- Hands-on experience and theoretical understanding of time-series forecasting & advanced statistics like Moving Average, Exponential Smoothing, Auto-Regression and Regression.
Preferred qualifications, capabilities and skills:
- Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
- Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary.
- Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS
- Experience in conducting both exploratory and explanatory analyses, with the ability to deliver clear and effective presentations to stakeholders.
- Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.
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