Market Research Analyst

Yami

Brea (CA)

On-site

USD 55,000 - 85,000

Full time

3 days ago
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Benefits offered by this job

401(k) Matching
Health Insurance: Medical, Vision, and
Paid Time Off: Vacation, Sick, and
Team Building
Employee Discount
Employee Referral
Coffee and Snacks

Job summary

Yami, a fast-growing e-commerce platform, is seeking a data analytics professional to analyze demographics, buying patterns, and marketing performance to optimize strategies.

The role focuses on leveraging time series models, machine learning, and marketing data to drive profit and customer insights, with collaboration across Marketing and Product teams.

Qualifications

  • Bachelor's in Business Administration, Analytics, Statistics, or related fields.

Responsibilities

  • Analyze demographic data on local, regional, and national level.
  • Analyze buying and shopping patterns for products sold on the company’s website.
  • Analyze marketing data and identify underlying principles and reasons.
  • Evaluate marketing strategies against competitors.
  • Forecast and track marketing and sales trends with time series models and ML methods.
  • Prepare reports on data analysis and present findings to management.

Education

Bachelor's in Business Administration, Analytics, Statistics, or related fields

Job description

Founded in 2013, Yami’s mission is to bring the world closer for everyone to experience and enjoy. We make it easy to discover exciting flavors and trending products from Asia. Named Inc. Magazine’s fastest growing start-up on the ”Inc. 500 List.”, we’re committed to connecting people with authentic food, beauty, home, and wellness experiences through our e-commerce platform, iOS, and Android apps.

Benefits & Compensation:
  • 401(k) Matching
  • Health Insurance: Medical, Vision, and Dental
  • Paid Time Off: Vacation, Sick, and Holidays
  • Team Building
  • Employee Discount
  • Employee Referral
  • Coffee and Snacks
  • $55370-85000
Job Duties:
  • Analyze demographic data on a local, regional, and national level;
  • Analyze buying and shopping patterns of current and potential consumers for specific types of products sold on the company’s website;
  • Analyze marketing data and separate them into parts to identify underlying principles, reasons, or facts;
  • Analyze marketing strategies and compare them with those of the company’s competitors;
  • Analyze marketing conditions and current industry trends and marketing methods, including search engine optimization, content marketing, social media marketing, and email marketing;
  • Analyze order-level structure from different dimensions; perform order structure analysis automation for recommendation systems and operation metrics to improve profit-gaining strategies;
  • Perform detailed analysis for Smart Shopping Cart project;
  • Provide metrics on add-on item recommendations;
  • Improve algorithm from SKU dimension and customer filing dimension;
  • Evaluate marketing analysis plans;
  • Evaluate methods of collecting data relating to customer demographics, preferences, shopping habits, etc.;
  • Work with Marketing Specialists to evaluate the effectiveness of marketing, advertising, and other strategies;
  • Evaluate methods of measuring customer satisfaction, including In-App Surveys, Post-Service Surveys, and Email Surveys;
  • Perform demand forecasts using time series models, including SARIMA, machine learning models, clustering, XGBoosting, and regression combined with time series features, on order-level and SKU-level forecasts;
  • Forecast and track marketing and sales trends with linear and exponential modeling;
  • Work with Marketing Specialists to design research methods for evaluating the performance of various marketing campaigns based on performance analysis and customer surveys;
  • Define and design survey methodology involving quantitative and qualitative survey methods;
  • Design methods to evaluate results or ROI under different scenarios, including worst, average, and best-case scenarios;
  • Design methods to measure customer retention rate and other consumption data;
  • Collaborate with Marketing Specialists to prepare reports on data analysis;
  • Prepare reports on new product marketing strategies and/or campaign plans;
  • Prepare order forecast reports, order structure analysis reports, and headcount forecast reports weekly for the team to monitor operation status;
  • Prepare reports of findings and present results to management of various departments; Support the marketing department in general operations.
Requirements:
  • Bachelor's in Business Administration, Analytics, Communication, Statistics, or related fields.
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