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.