- 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.
- 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).
- 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.
- 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.
- 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.
- Define key performance indicators (KPIs) for indirect sales channels.
- Monitor KPIs regularly and provide insights to drive improvements.
- Assess partner performance against targets.
- 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. Additional Locations : * China - Liaoning - 大连(Dalian) * China * China - Liaoning * China - Liaoning - 大连(Dalian)
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描述
Description and Requirements
Key Responsibilities:
Data Analysis:
Data Modeling:
End-to-End Channel Business Analyst
Data Analysis and Reporting :
Sales Process Optimization :
Forecasting and Planning :
Channel Performance Metrics :
Qualifications: