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Retail Data Analyst

Date Posted: Nov 14
Type: Contract
Wage: $50-55/hour
Job Number: 7301
Location: Houston, TX

TITLE: Retail Data Analyst
CLIENT: Energy
LOCATION: Houston, TX
TYPE: Contract
RATE: $50-55/hour

DUTIES:
• Apply statistical modeling or machine learning algorithms to optimize marketing efforts with respect to customer acquisition, retention, and attrition
• Use cutting edge Hadoop technologies to glean customer insights from mountains of data
• Work with the marketing team to plan and analyze A/B tests
• Analyze the effects of various marketing levers
• Help executives monitor the pulse of the business by automating reports of key performance indicators
• Develop useful visualizations
• Translate, communicate, and present results and recommendations to a non-technical audience

REQUIREMENTS:
• 1-5 years of experience in statistical modeling and quantitative analysis in industry or full time academic research
• Kaggle competition experience a plus
• Statistical modeling and analysis skills
• Strong general programming skills
• Proficiency with R, SAS, or Python
• Strong SQL skills / understanding of relational databases
• Experience with Excel
Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
• Solid understanding of the use and interpretation of graduate level multivariate statistical techniques and sampling methods, such as multi-variants regression, ANOVA, factor analysis, cluster analysis, and principal components analysis
• Ability to interpret complex analytic results and develop practical business implications
• Understanding of the utility business, to include service process, market structure/pricing and competitive environment
• Think critically about analyses to ensure the conclusions make sense before sharing

EDUCATION:
Bachelor’s degree in Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research required.
Advanced Degree (MS or PhD) in a quantitative field is strongly preferred, such as Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research.

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