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Are you serious about your career change? We are a fast-growing company that is committed to helping in your next career move.
Need candidate with Predictive Modeling and strong SAS.
The Sr. Data Analyst provides actionable insights into various aspects of the business to support the acquisition and growth of new business. A critical component to this role will be to extract the big picture through data modeling and analysis to help streamline decision-making, strategy creation, and tactical execution. This position requires candidates to lead and support the development of data analytics including segmentation and statistical models required to implement this data driven marketing approach.
Duties and responsibilities includes the following. Other duties may be assigned,
Collect data for measurement & analysis of return-on-investment across several key marketing initiatives. Other analytics projects will include targeting, segmentation, and optimization to support cross-business strategic priorities and business decision-making.
Perform response analysis with each campaign to aid in the development of future strategies. Including but not limited to: financial analysis, data analysis, trend identification, conducting promotional analysis, measuring marketing, branding and advertising effectiveness (traditional channels and digital), lift in sales, and ROI.
Perform advanced analytics appropriate to the line of business including modeling, forecasting, predictive analytics that deliver recommendations for growth, cost reduction and optimization of operational performance.
Perform rigorous model evaluation, design hypothesis tests, oversee test execution and result evaluation.
Model, predict, and classify consumer behavior and business metrics.
Perform and manage all the steps required for analyses including requirements gathering, methodology development, data pulling, data processing, analysis, insight formulation and results delivery.
Generate reports, documentation and scoring as part of the analysis process. Identify meaningful trends or patterns that impact strategic decisions and future marketing investments and regularly share results with marketing stakeholders. Provide recommendations for new methods to enhance analytics.
Produce expected performance measures including lifts, efficiencies, confidence intervals and other statistical measures.
Support the building of new analytical capabilities and solutions (segmentation, modeling, campaign evaluations, etc.) that enable analytics to support the strategic goals of the company.
Bachelor’s degree in Marketing, Operations Research, Applied Math/Statistics, Computer Science or related field required 5 to 8 years analytics experience preferably focused on Marketing or Business Analytics High Proficiency with SQL and Statistical Packages like SPSS / SAS Experience with Data Visualization tools like Tableau and Power BI Knowledge of industry best practices with respect to marketing measurement, data-mining, experimental design and other statistical techniques Experience in calculating incremental lift from marketing campaigns Advanced Microsoft Excel skills including pivot tables, macros and v-lookup Ability to teach others Strong communication and presentation abilities Excellent organizational skills, with ability to multi-task and set priorities
Deadline driven Strong attention to detail Strategic thinking Decisive and effective problem-solving ability Ability to function as a team member required Flexible and adaptable Client-service oriented
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