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Marketing Analyst

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The Marketing Database Analyst is expected to bring scientific rigor to marketing, fostering a test-and-learn approach, with the end goal of maximizing the effectiveness of consumer acquisition and retention marketing campaigns. The ideal candidate will have training and experience in direct response marketing analytics, in order to provide the analysis, metrics, and reporting that will drive key decisions for customer acquisition, retention and transitions marketing, sales and service functions.

Must understand hypothesis testing and inferential statistics. A good working grasp of measuring A/B and multivariate testing. Must have working knowledge of both SQL and SAS, SPSS, R or other statistical analysis software. Experience working in a marketing environment is a plus.

Required skills:
SQL and SAS, SPSS, R or other statistical analysis software.

This position is assigned to the is responsible for all aspects of analysis, including:
analysis planning, defining data requirements, extracting and managing data, conducting the analyses, and communicating conclusions/recommendations to Stakeholders.

To be successful the Marketing Database Analyst will demonstrates a thirst for knowledge and natural curiosity that facilitates rapid learning of the company’s business model and the data infrastructure, in order to produce relevant analyses that have a positive impact on marketing results. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and work well as part of a small-team. Must be comfortable in an environment of constantly changing priorities. The company has big data and interesting analytic challenges.

Essential Functions:
• Support business objectives in making strategic data-related decisions by analyzing, internally managing and reporting of consumer acquisition, retention and transitions data as needed.
• Design and execute complex analytics projects and campaign test that involve data collection, rationalization and analysis from multiple source systems
• Contribute to problem solving, process design and analytical report development.
• Support the design and analysis of direct marketing campaigns.
• Works with the team and stakeholders to identify key business issues.
• Use SQL and SAS for delivering data, synthesizing analysis and developing key consumer insights to inform recommendations that enable continuous improvement
• Prepares preliminary interpretations of analyses for manager and program management leadership.
• Assesses information to identify the best solution from existing alternatives.
• Conducts data mining and predictive modeling.


-->Qualifications

Basic Qualifications:
• Bachelor's Degree in quantitative such as Statistics, Economics, etc.
• Minimum of 3 years related experience; Or, Master's degree and 1-3 years of experience
• Thorough knowledge of direct marketing analytics and reporting
• Working knowledge of hypothesis testing and inferential statistics.
• Complete understanding and application of statistical principles, concepts, market strategy practices, and standards.
• Excellent analytic and problem solving skills
• Excellent data management skills coupled with extensive experience in relational databases and data quality
• Broad application of principles, theories, and concepts of database marketing/direct
• Experience with or good understanding of A/B and multivariate testing
• Must be skilled in SQL and analytic tools such as SAS, SPSS, R, or other databases/analytics tools. Must know how to manipulate, extract, analyze, and report data.
• Excellent communication skills and the ability to produce Microsoft PowerPoint presentations

Preferred Qualifications:
• Master's degree preferred (Statistics, Marketing with a quantitative focus, Economics, etc.)
• At least 5 years related experience preferred
• Experience/knowledge in Marketing analytics
• Experience with statistical analysis such as regression, decision trees, neural networks, etc.
• Formal training and experience in statistics, mathematics, and quantitative analysis

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