Sr. Data Analyst 4A
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Key skills for this role
Role Overview
The Senior Data Analyst analyzes business performance, inventory, production, and product demand.
The role focuses on demand forecasting, forecast performance, and improvement opportunities.
Key Skills for This Role
Full Job Posting
Role Overview
The Senior Data Analyst analyzes business performance, inventory, production, and product demand.
The role focuses on demand forecasting, forecast performance, and improvement opportunities.
Job Responsibilities
- Analyze complex business problems and trends affecting performance metrics.
- Manage forecast models and identify improvement opportunities.
- Analyze inventory levels, production speed, and product demand to determine production quantities.
- Develop statistical forecasting models.
- Define and track forecast KPIs and create continuous improvement plans.
- Document and communicate demand forecast insights to stakeholders.
- Review forecast-to-actual metrics and adjust forecasts to improve accuracy.
- Generate schedules based on business requirements.
Qualifications
- Bachelor's degree in business analytics, computer science, or statistics, or a master's degree in data science.
- Upper-intermediate English proficiency at the B2 level.
- Listed certifications include Certified Data Management Professional, Databricks Certified Associate Developer for Apache Spark, IBM DataStage certification, Microsoft Azure Data Engineer Associate, and related credentials.
Skills and Domains
- Required skills include data analysis, statistical forecasting, inventory analysis, KPI tracking, forecast improvement, and stakeholder communication.
- The source lists additional domains and skills including data engineering, agile methodology, intelligent automation, manufacturing, banking, insurance, healthcare payors, and client relations.
Workplace and Schedule
- The role is identified as office work in Pune, India.
- The listed shift is any shift in India.
About Genpact
Genpact provides process intelligence and artificial intelligence solutions for global enterprises.
The company describes its work as focused on AI-powered transformation, innovation, client impact, and continuous learning.
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