Manager Advanced Analytics

Manager Advanced Analytics

Requirements

• Master’s degree or the equivalent in Business, Finance, Accounting, Statistics, or related field; OR Bachelor’s degree or the equivalent in Business, Finance, Accounting, Statistics, or related field and 2 years of experience in data analytics or related experience.
• Must have experience with using Python (with libraries like pandas, scikit-learn) for data manipulation, statistical modelling.
• Developing KPIs to measure success of internal products (Google Big Query, Azure Databricks).
• Creating dashboards and reports using tools like Tableau, Power BI to communicate insights to stakeholders.
• Using Azure and GCP for data storage, processing, and deploying analytical models, KPI dashboards.
• Building machine learning models to analyze and review chat transcripts, reviews, surveys etc. (Natural language processing, Python, Clustering).
• Using statistical methods (ARIMA, Exponential Smoothing) and libraries (Prophet, LSTM) for accurate contact volume forecasting.
• Using Natural Language Processing and their applications in text summarization, sentiment analysis etc.
• Hypothesis Testing, A/B Testing, T-test, Z-test to measure performance and success of internal products.
• Data ingestion and integration using cloud storage solutions (such as Azure Blob storage, GCP bucket, etc.).
• Using Apache Spark/PySpark for large-scale data processing.
• Linear/Mixed Integer Optimization, Simulation techniques to mimic and optimize operations.

Responsibilities

• Owns workstreams and individual projects end-to-end for a business area, category or prototype.
• Manages risk associated with implementation.
• Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders.
• Supports plans and initiatives to meet customer and business needs.
• Identifies and communicates goals and objectives; builds accountability for and measuring progress in achieving results.
• Identifies and addresses improvement opportunities; demonstrates adaptability and promotes continuous learning.
• Works with leadership/business partners (e.g., Directors) to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues.
• Identifies functional analytics and research objectives and develops tactical research plans.
• Provides guidance to Directors and advises on next steps based on insights objectives and research.
• Presents actionable recommendations to Directors to inform strategic and tactical functional initiatives.
• Provides and supports the implementation of business solutions by building relationships and partnerships with leadership and other key stakeholders.
• Develops data models (algorithms, approaches) for workstreams and individual projects within a business area or category to drive business results and value.
• Collaborates with project team to implement modeling solutions.
• Manages the development and implementation of prototypes and production-ready complex algorithms for workstreams and individual projects.
• Manages the testing and validation process to monitor the solution.
• Collaborates with Advanced Analytics Experts to develop new data analysis techniques.
• Addresses complex business problems by applying advanced analytics to drive data-driven decision making.
• Makes strategic recommendations to team based on data analysis.
• Manages and executes data analysis strategy, providing guidance to less experienced team members.
• Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for workstreams and individual projects for a business area, category or prototype.
• Interfaces with external business partners and vendors.

Preferred Qualifications

No preferred qualifications provided.