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Analytics Sr. Manager, Statistician - Ford

FordDirect


Location:
Greater Detroit Area
Date:
05/11/2017
2017-05-112017-07-10
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
FordDirect
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Job Details

I. Job Summary | Major goals and objectives.

The Sr. Manager, Statistician will work in collaboration with and under the direction of the Senior Director, Advanced Analytics & Shopper Marketing to provide Statistical modeling for retail digital shopping ecosystem which includes the following: marketing programs, website analytics, SEM and OLA advertising, direct communications and loyalty programs, social media, lead management, and customer satisfaction reporting/analysis, testing and dashboard development.

With a keen eye on data integrity, this role will drive enhancements in reporting, develop KPIs with the business and establish both process and measurement protocols. The Sr. Manager, Statistician will oversee the strategic deployment of advanced analytics, modeling and data mining at FordDirect.

 

II. Essential Job Functions

Essential Functions (primary responsibilities and accountabilities)

1. 7+ years’ experience across analytics, digital marketing/advertising, business intelligence, IT, and/or data research and analysis

2. 3+ years’ experience managing advanced analytics and modeling teams

3. Direct marketing research experience including:

a. Media Mix Modeling

b. Multi-Channel Media Optimization

c. Media Attribution Modeling

d. Social Media ROI

e. Behavioral Choice Modeling

f. CRM

g. Segmentation

h. Forecasting & Planning

4. Proven experience designing innovative analytics techniques

5. Experience creating, developing and evolving an emerging data science practice is a plus

6. Analytics practice experience including:

a. Business Development

b. Product Development

c. Client Management

d. Vendor collaboration

e. Public Speaking / Presentation experience

7. 7+ years working / programming in SAS environments

8. Experience with R

9. Experience with digital and traditional media planning, buying and optimization

10. Experience with big data systems (e.g. Cloudera Hadoop)

11. Experience with data visualization software (e.g. Tableau)

12. Previous Automotive marketing experience required

 

III. Other Responsibilities

1. Abide by the policies and procedures of the company.

2. Adhere to the company’s compliance program.

3. Safeguard the company’s intellectual property, information, and assets.

4. Handle personal information (“PI”) that pertains to any individual (e.g., leads, Dealers, employees, job applicants, etc.) in accordance with FordDirect’s Information Privacy Guiding Principles, privacy policy and public facing privacy statements on FordDirect managed websites.

5. Complete any required privacy training.

6. Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.

7. Other duties as assigned.

Requirements

IV. Minimum Qualifications and Job Requirements | All must be met to be considered.


Education:

• Bachelor’s degree from a four-year college or university in Advertising, Mathematics, Statistics, Economics or other quantitative discipline.


Experience:

• Must have at least 5 years’ relevant, professional work experience in an agency or equivalent environment.

• Must have at least 5 years’ years of experience providing relevant marketing analysis experience in an automotive environment.

• Must have at least 5 years’ experience automating routine Excel tasks using macros and/or VBA.

• Must have at least 5 years’ experience creating rich data visualizations, dashboards and executive reports.

• Must have at least 5 years’ experience with web site analysis, specifically tools from Omniture, Webtrends, Coremetrics and/or Google Analytics.

• Must have at least 5 years’ experience implementing instrumentation strategies for websites and campaign tagging.

• Must have at least 3 years’ experience measuring social media channels.

 

Specific Knowledge, Skills and Abilities:

• Must be proficient using site reporting/analytic tools such as Tableau, DART, Omniture, DFA, Webtrends, Visual Science, Coremetrics, WebSideStory, etc.

• Must have strong written & verbal communication skills.

• Must be able to work in fast paced environment where flexibility is key and directions can change frequently.

• Must have an extreme attention to details and strong organizational skills.

• Must be a self-starter, highly motivated to excel w/minimal supervision.

• Must be highly skilled in using Microsoft Excel for data manipulation, analysis, and charting.

• Must be familiar with APIs, RSS feeds and web services.

• Must be familiar with search marketing (SEM and/ or SEO) and search marketing optimization.

• Must be familiar with website design and construction methods and the associated technologies.

• Must have excellent critical thinking and the capability of generating consistently accurate, useful reports as well as an enthusiasm for translating data into actionable insight relevant to marketing program objectives.

• Must have an attention to detail and time management to deliver high quality work for multiple projects across several client engagements while meeting deadlines.

• Must have proficiency in Microsoft Word and PowerPoint.

• Must have basic skill in SQL, SAS, SPSS or other statistics packages.

• Must have strong collaboration skills.

• Must have excellent problem solving skills.

• Must be organized with an ability to manage multiple competing priorities.

• Must have ability to operate comfortably in a fast-paced environment and maintain composure under pressure.

• Ability to mine data for the underlying trends and marketing triggers that can drive business results.

• Ability to use data to proactively identify new opportunities.

• Strong story telling ability through formal presentations, email, webinars, etc.

• Ability to focus on solutions directly related to business issues such as marketing ROI, forecasting, brand consideration, media attribution and consumer engagement.

• Ability to oversee implementation of targeting, measuring incrementally, attribution and statistically based optimization; can assist business teams in understanding the results and guide implementation of the recommendations/outcomes of the modeling efforts.

 

% Travel Required (Approximate): Minimal travel domestically and internationally