Community Support Analyst, Forecasting and Demand Planning

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. Bachelors 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 .