Company

MarykaySee more

addressAddressDallas, TX
type Form of workFull-Time
CategoryResearch & Science

Job description

Job Description
Uses and applies statistical techniques and analytical tools on large data sets to develop independent sales force segmentations and predictive models that address customer relationship marketing and targeted marketing problems. Maintains and updates existing data mining models to provide Company management with a deeper understanding of the independent sales force behavior, product emphasis in promotions and other Company programs directed to the independent sales force so that more informed decisions can be made by management in the future. In addition, the incumbent performs special data requests which involve extracting data from the data warehouse and creating reports based on the data as requested by management.
Responsibilities
  • Participates and assists in the execution of the Company's data mining projects that provide Marketing management with additional information regarding the past behavior trends of the independent sales force by employing techniques utilizing standard data mining software. Interfaces regularly with Marketing and Sales divisions to remain abreast of marketing and sales plans in order to respond adequately to their requests for data mining projects. Transforms informational needs into variables that may be quantified and presents the results in a concise functional format that is easily interpreted by non-financial personnel. Chooses data from appropriate sources such as the historical independent sales force and unit databases, discontinued product file information, and product sales trends. Coordinates with Information and Services Technology (IST) to determine that the data to be mined is in the proper format and definitions of variables are agreed. Assists in the development of predictive models utilized in various marketing or business scenarios by discovering and quantifying various factors and prepares reports reflecting the current or projected marketing and economic situation. Utilizes various multivariate statistical techniques and applications as needed to interpret the results of data mining and provide estimates of future behaviors. Assists in the presentation of results of all data mining projects in a concise report format that is easily interpreted by non-financial personnel.
  • Assists in interpreting and transforming the requests of management for data mining information into workable projects. Completes assigned tasks in a timely manner and prepares data mining project presentations at the completion of data mining projects for review to ensure the results are communicated in a concise format that is easily interpreted by non-financial personnel. Undertakes necessary courses and seminars to further technical development..
  • Assists with analyses of special marketing and independent sales force promotional programs such as contests, seminars, automobile programs, etc., to estimate the probable impact of proposed programs and events on sales and the independent sales force via data mining. Prepares written reports of recommendations to be presented to Marketing, Sales and/or Executive management.
  • Regularly performs special data extraction and reporting requests based on data residing in the data-warehouse in order to provide a more comprehensive understanding of independent sales force beliefs, attitudes, and behaviors. This includes interacting with the Data Warehouse Team in order to identify data to be extracted, using software to extract the data, and presenting the data in a concise report format that is easily interpreted by non-financial personnel.
  • This job requires on-site work at a Mary Kay facility.

Skills & Experience
Experience: 3+ years in Data mining or statistical analysis function, preferably in a retail or direct selling environment. Previous experience should include 1-3 years of direct use of at least one statistical software package, such as R, SAS, or Stata. Base knowledge in Data Visualization software package, Tableau is preferred. SQL experience at level to train colleagues.
Education: Bachelor/University Degree with a Statistics, Economics or Operations Research with a thorough understanding of multivariate statistical techniques. A post-graduate degree is preferred.
  • Experience performing exploratory statistical data analysis, sampling, model validation, data cleansing and estimation, preferably in areas leading to marketing campaigns that delivered significant business value. Intermediate understanding of internal data modules and demonstrated ability to independently research problem
  • Broad understanding of the global business environment, particularly that of the U.S.
  • Proficient in the use of all MS Office tools.
  • Excellent communication and diplomacy skills to partner extensively with Corporate, Regional Team and Local Market management in non-financial areas, particularly Sales and Marketing.
  • Ability to hypothesize with imperfect data
  • Balance multiple projects, prioritize these projects and meet necessary deadlines
  • Experience in preparing reports of project findings to non-financial readers.

Company Overview
Looking for a career where you can make a difference?
At Mary Kay we are committed to enriching the lives of women and their families around the world, we offer careers with unlimited opportunities to do something beautiful every day. More than 5,000 employees work in locations around the world. They provide the products, marketing and other support to millions of Independent Beauty Consultants (IBCs) who work as independent contractors, selling our products directly to consumers in nearly 40 markets on five continents.
We are a company that believes in our people and cares for them with truly exceptional benefits. We offer:
  • A comprehensive health plan which includes medical, dental, and vision with low premiums
  • 401(k) plan
  • A generous profit-sharing program
  • Free access to on-site fitness center and on-site clinic
Refer code: 7814285. Marykay - The previous day - 2024-01-16 00:38

Marykay

Dallas, TX
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