Business Analyst (E-Commerce)

PLAUD.AI


Date: 1 day ago
Area: Singapore, Singapore
Contract type: Full time
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.
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