Business Analyst

Join to apply for the Business Analyst (E-Commerce) role at PLAUD.AI

Join to apply for the Business Analyst (E-Commerce) role at PLAUD.AI

• Support the data needs of marketing and sales teams by providing timely data extraction, cleaning, and preliminary analysis (e.g., campaign performance review, conversion funnel analysis, user behavior tracking, etc.).
• Maintain common marketing/sales dashboards and reports (e.g., channel performance, sales funnel, campaign ROI, daily/weekly user growth reports) to ensure accurate and timely data delivery.
• Establish unified business data standards and define core metrics (e.g., new customers, GMV, retention, conversion rate) across different business scenarios to ensure cross-departmental alignment.
  
• Develop and optimize standardized workflows for data extraction, processing, and report generation to improve efficiency for marketing/sales teams.
• Streamline data workflows, standardize request submission processes, and promote data productization (e.g., templatized reports, automated updates).
• Assist in building automation tools (e.g., Looker/Tableau/Power BI dashboards, SQL template libraries) to reduce repetitive tasks.
  

Job Responsibilities
Business Data Support

• Support the data needs of marketing and sales teams by providing timely data extraction, cleaning, and preliminary analysis (e.g., campaign performance review, conversion funnel analysis, user behavior tracking, etc.).
• Maintain common marketing/sales dashboards and reports (e.g., channel performance, sales funnel, campaign ROI, daily/weekly user growth reports) to ensure accurate and timely data delivery.
• Establish unified business data standards and define core metrics (e.g., new customers, GMV, retention, conversion rate) across different business scenarios to ensure cross-departmental alignment.
  

Data Process & Tool Standardization

• Develop and optimize standardized workflows for data extraction, processing, and report generation to improve efficiency for marketing/sales teams.
• Streamline data workflows, standardize request submission processes, and promote data productization (e.g., templatized reports, automated updates).
• Assist in building automation tools (e.g., Looker/Tableau/Power BI dashboards, SQL template libraries) to reduce repetitive tasks.
  

Data Quality & Asset Management

• Ensure the completeness, accuracy, and consistency of business data through daily monitoring, validation, and alerts for key metrics.
• Contribute to data platform development by organizing marketing/sales-related data tables, documenting field definitions, and maintaining usage guidelines.
  

Cross-Team Collaboration & Enablement

• Deeply understand business operations and data needs, serving as a "data partner" for marketing and sales teams.
• Support data-driven decision-making (e.g., campaign strategy, channel evaluation, sales optimization) to enhance operational efficiency.
• Train and empower business teams on basic data tools and best practices to improve overall data literacy.
  

Qualifications
Education

• Bachelor's degree or above in Information Management, Statistics, Marketing, Computer Science, Mathematics, or related fields preferred.
  

Technical Skills

• Proficiency in SQL for independent data extraction and processing.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, FineReport) and basic dashboard design.
• Advanced Excel/Google Sheets skills for daily data tasks.
• Knowledge of common marketing/sales metrics; experience in report-building or campaign analysis is a plus.
  

Competencies

• Strong communication skills to collaborate effectively with non-technical stakeholders; service-oriented and responsible.
• Detail-oriented, logical thinker with independent problem-solving and process optimization skills.
• Ability to quickly grasp business objectives and propose data-backed solutions.
  

Experience

• 3+ years in data operations, sales analytics, or campaign performance analysis preferred.
• Industry experience in B2C/FMCG, internet, SaaS, advertising, or e-commerce is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Technology, Information and Media

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