Sales Analytics and Forecasting Specialist
NTT
full-time
Posted on:
Location: 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
ETLPythonSQL
About the role
- Participates in tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives.
- Responsible for analyzing complex business problems and issues using internal and external data to provide insights to decision-makers.
- Identifies and interpret trends and patterns in relevant datasets to locate influences and proactively identify meaningful quantitative analysis for distribution to business stakeholders to inform business decisions.
- Creates documented specifications for reports and analysis based on business needs and required or available data elements.
- Defines, develops, enhances, and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
- Responsible for data validation using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights.
- Supports the team answer strategic questions, make insightful data-driven business decisions, and properly design new initiatives.
- Priovides technical advice, consultation, and knowledge to others within the relevant teams.
- Creates relevant reports and present on trends to convey actionable insights to stakeholders.
- Performs any other related task as required.
Requirements
- Bachelor's degree or equivalent in Data Science or related field
- Seasoned demonstrated experience in a sales or marketing function as a data analyst
- Seasoned demonstrated experience in using PowerBI, statistical and quantitative analysis techniques, data visualizations
- Experience with PowerBI, SQL, and ETL processes; knowledge of DAX, R, Python
- Proficiency in Excel and PowerBI; knowledge of SQL for relational databases
- Ability to translate data insights into actionable business recommendations
- Excellent communication and presentation skills
- Ability to work with cross-functional teams and senior management