Sr. DT Business Process Design Analyst

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This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Key Responsibilities:

Data Analysis:

• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.

Data Modeling:

• Design, implement, and document data architecture and data modeling solutions, including relational, dimensional, and NoSQL databases.
• Implement business and IT data requirements through new data strategies and designs across all data platforms.
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox proof of concept (POC).

End-to-End Channel Business Analyst

Data Analysis and Reporting:

• Collect and analyze sales data from various indirect channels (distributors, resellers, agents, etc.).
• Identify patterns, trends, and opportunities for improvement.
• Create regular reports and dashboards to track channel performance.

Sales Process Optimization:

• Evaluate end-to-end sales processes within indirect channels.
• Collaborate with cross-functional teams to streamline workflows and enhance efficiency.
• Identify bottlenecks and propose solutions for smoother operations.

Forecasting and Planning:

• Develop accurate sales forecasts based on historical data and market trends.
• Collaborate with sales and marketing teams to align strategies.
• Assist in creating sales targets and quotas for channel partners.

Channel Performance Metrics:

• Define key performance indicators (KPIs) for indirect sales channels.
• Monitor KPIs regularly and provide insights to drive improvements.
• Assess partner performance against targets.

Qualifications:

• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics is preferred.
• Proven working experience as a Data Analyst or Business Data Analyst.
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
• Strong knowledge of and experience with reporting packages, databases, programming (XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
• Proficiency in data analysis tools (Excel, SQL, etc.).
• Strong communication and presentation skills.