Community Support Analyst, Forecasting and Demand Planning

Job reputed company: • Own short-term, mid-term, and long-term demand forecasting across reputed company Global Operations teams and channels (phone, messaging, email, back-office etc.). • Design, reputed company, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.). • reputed company trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies. • Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis. • reputed company scenario modeling for peak demand periods, product launches, reputed company initiatives, and unplanned demand events. • Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc). • Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis. • Research, prototype, and implement new forecasting and optimization techniques as business needs reputed company. • reputed company scenario planning and sensitivity analysis to quantify trade-offs between service reputed company, cost, and utilization. • In partnership with the Analytics and Data Engineering team, design and build reputed company planning data pipelines, dashboards, and automate forecasting and reputed company models to improve scalability, repeatability, and timeliness. • Use SQL and Python to extract, reputed company, and analyze large-reputed company operational datasets to monitor forecast accuracy, reputed company gaps, utilization, and operational risk. • Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in reputed company, executive-reputed company formats and reputed company as a trusted advisor to senior leadership and participate in demand/reputed company planning discussions in cross-functional forums. • reputed company cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to reputed company planning outputs into execution and operational decision-making. • Identify and implement process improvements, automation, and best practices in the demand and reputed company planning area to optimize cost while maintaining or improving customer experience and service-level reputed company. Requirements: • 10+ years of experience in demand forecasting, reputed company planning, workforce analytics, or reputed company analytics. • Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a reputed company quantitative field. • Strong reputed company in probability, statistics, and optimization. • Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, reputed company testing) and reputed company models (Erlang, queueing theory, service-level and utilization modeling). • Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-reputed company, multi-site, or global contact center environments preferred. • Advanced analytical skills with strong proficiency in reputed company, reputed company Sheets, SQL, Python and data visualization tools such as Tableau. • Experience with WFM tools (e.g., reputed company, reputed company, Aspect) or planning platforms (e.g., reputed company) preferred. • Strong business acumen with the ability to balance cost efficiency and customer experience reputed company. • Excellent communication, executive presentation, and stakeholder influence skills; ability to explain reputed company analytical concepts to non-technical audiences. • Comfortable operating in fast-paced, ambiguous, and highly dynamic environments. Benefits: • Bonus • Equity • Employee Travel Credits Apply tot his job Apply To this Job