Marketing Data Analyst

Job description

2936167
City

Cary, Atlanta, Plano
Career Level

Experienced
Relocation Assistance

No
Business

GE Energy Connections
Business Segment

Energy Connections Industrial Solutions
Function

Marketing
Country

United States
U.S. State, China or Canada Provinces

Georgia, North Carolina, Texas
Postal Code

27513-5756
Role Summary/Purpose

The Marketing Data Analyst will report to the CS & PS Marketing Leader and work with marketing, product management and sales teams helping solve analytically complex problems in the marketing domain. Int his role you will require the ability to apply and administrate analytical / modeling tools and techniques and drawing managerial insights through statistical techniques and predictive modeling.
Essential Responsibilities

As the Marketing Data Analyst, you will:

·  Have a thorough understanding and application of approaches, theories, methodologies and application in a concrete organizational context
·  Leverage marketing and sales data to help understand customer, market and product information to improve promotion, targeting, and customer relationship management
·  Collate data and create models to support decisions based on advanced analytics
·  Drive findings by applying  analytics, design thinking, mobile, social and other technologies and integrating them into work
·  Perform statistical analysis and modeling for marketing efforts such as customer segmentation, branding, customer acquisition and retention, and cross-sell / up-sell techniques
·  Develop statistical models to measure and optimize pricing and marketing campaigns
Qualifications/Requirements

·  Bachelors Degree in Statistics / Economics / Econometrics / Engineering / Mathematics
·  Minimum of 2 years of marketing experience
Desired Characteristics

·  Ability to handle data in large volumes (data manipulation, data cleansing and matching) through tools like SAS, SQL, SPSS, R, Excel VBA
·  Excellent analytical and problem solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
·  Modeling techniques and specifically logistic Regression, linear regression, cluster analysis, CHAID, market basket analysis, etc.
·  Statistical programming software experience in SPSS, SAS or equivalent, and comfortable working with large data sets; and SQL
·  Ability to work under pressure and deliver on tight deadlines
·  Good written and verbal communication skills

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About Us

GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the world’s first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www.GEEnergyConnections.com.

Industrial Solutions, part of GE Energy Connections, empowers smarter business operations by connecting equipment, software and services to protect, control and optimize assets within electrical infrastructures. The business provides customers, across various industries, with end-to-end product and service solutions that help ensure the reliability and protection of their electrical infrastructure. Industrial Solutions’ product and service solutions add to GE’s broader portfolio of leading technology solutions for the delivery, management, conversion and optimization of electrical power for customers across multiple energy-intensive industries. To learn more, please visit: www.GEIndustrial.com.

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Additional Eligibility Qualifications

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.