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Technical Operations Analyst at DISYS (Houston, TX)


We apply advanced analytics and modeling to address challenging business problems. Within our Texas mass markets retail business,  we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.


- Apply statistical modeling or machine learning algorithms to optimize marketing efforts with respect to customer acquisition, retention, attrition, and margin enhancement
- Lead and help develop more junior analysts
- Work with the marketing team to plan and analyze A/B tests
- Quantify the effects of various marketing levers
- Produce models that predict consumer behavior responses to various marketing mix 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
- 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
- Good communication skills
- Strategic marketing mindset and firm understanding of key marketing and financial concepts
- Keen attention to detail
- Ability to work as a team member in a fast paced environment
- Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed
- Think critically about analyses to ensure the conclusions make sense before sharing                    

- 3+ years in statistical modeling and quantitative analysis in industry or full time academic research.
- Previous retail electricity market experience preferred
- Previous marketing experience preferred
- Experience analyzing weblog data a plus
- Kaggle competition experience also a plus

Technical Skills:

- Statistical modeling and analysis skills
- Strong general programming skills
- Proficiency with Python, including pandas and scikit-learn
- SAS and R programming a plus
- Strong SQL skills / understanding of relational databases
- Comfortable working in Linux
- Excel guru
- Git for version control
-Bayesian Statistics a plus
-Survival modeling a plus

Bachelors 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.