ECommerce Analytics Consultant

Location(s):
Boise, Idaho, United States of America
Spring, Texas, United States of America
Category: Engineering
Job ID: 3068905
Posted: 2/3/2021 8:00:00 AM

Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision-making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues.

Responsibilities

  • Mines data using modern tools and programming languages.
  • Defines and implements models to uncover patterns and predictions creating business value and innovation.
  • Contribute to assigned ad hoc priority projects with complex analysis; assist in the development of management recommendations
  • Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business values
  • Assures accuracy, integrity, and compliance of cleansed data
  • Works with the business to understand the business domain perspective.
  • Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.
  • Assures accuracy, integrity, and compliance of cleansed data.
  • Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
  • Leads a project team of data science professionals
  • Collaborates and communicates with the project team regarding project progress and issue resolution.
  • Represents the data science team for all phases of larger and more-complex development projects.
  • Provides guidance, training, and mentoring to less experienced staff members.

Knowledge & Skills

  • Using statistics, mathematics, algorithms, and programming languages.
  • Understanding of how to manage disparate unstructured and structured data in a distributed environment.
  • Experience querying databases (SQL, Postgresql) and using statistical computer languages Python, etc.
  • Fluent in structured and unstructured data and modern data transformation methodologies.
  • Ability to create models to pull valuable insights from data.
  • Create stories and visualizations to describe and communicate data insights.
  • Ability to use creativity to spot trends and tease out patterns in large datasets.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills; mastery in English and local language.
  • Ability to effectively communicate data insights to project team and leadership and negotiate options.

Scope & Impact

  • Collaborates with peers, junior engineers, data scientists, and project team.
  • Typically interacts with high-level Individual Contributors, Managers, and Program Teams.
  • Leads a project requiring data engineering solutions development.

Education & Experience

  • Bachelor's, Master's, or PhD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • Call Center, CRM OR Customer Analytics experience
  • Typically 6-10 years’ experience including graduate or postgraduate research.

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