The Manager role requires strong experience in analytics, ability to manage/lead a team of analysts, and the ability to work with sales folks utilizing data product and business skills, i.e. what will help illustrate the value of data products for a given company. Cross-sell appropriate opportunities, data product prospects  ACOE, ACOE clients  data products.

What You Will Do:

• Work collaboratively with sales folks, ideally at an industry level.

• Ability to guide/advise analysts on team; focus analysis on what will best illustrate data product's value to client, or prospect.

• Mentor and grow team members

• Define and optimize financial metrics, both direct and indirect revenue.

• Collaborate with stakeholders to identify and support development of analytic solutions based on company data products.

• Research and implement new analytic techniques or methodologies as needed for specific projects or analyses.

• Regular meetings with sales folks; guiding them on possible ways to address their needs. Further, filtering out lower value opportunities. Translating needs to team for execution.

• Comfort with handling multiple priorities at once and pivoting focus as necessary

STRONG UNDERSTANDING IN AREAS TEAM WILL BE WORKING ON:

• Predictive modeling and machine learning to improve and optimize client usage, adoption and benefit of data.
• Statistical techniques to perform predictions, analyze patterns, and uncover hidden stories told through data.
• Preparation of analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets.
• Leverage a variety of statistical analysis tools (SAS, R, Python) to facilitate analytic discovery.
• Communication of findings to internal and external business partners.
• Knowledge of advanced predictive analytics (GLM/Regression, Random Forest, Boosting Trees)

What You Will Have:

• Bachelor's Degree in a quantitative field (Math, Statistics, Computer Science, Economics) or related degree programs and 8-10 years of relevant work experience.

• Master's Degree in a quantitative field (Math, Statistics, Computer Science, Economics) or related degree programs and 5-7 years of relevant work experience.

• Team Player - Ability to work collaboratively with a wide range individuals and skill sets

• Knowledge of various statistical software programming languages (SAS, R, Python).

• Experience with data mining and statistical/machine learning techniques.

• Ability to interpret business problems and identify optimal solutions.

• Attention to detail and time management to manage high quality, client-ready work for multiple projects across several client engagements while meeting deadlines.

What Will Set You Apart:

• Knowledge of data visualization tools (Looker, Microsoft BI, Tableau)
• Experience with automating processes using a variety of tools and platforms
• Experience working with global data
• Experience working with agencies
• Experience with digital data
• Experience with cloud platforms (GCP, Azure, AWS)

Travel: 10-20%

PRIMARY LOCATION CITY/STATE:

Homebased - Conway, Arkansas

ADDITIONAL LOCATIONS (IF APPLICABLE):

Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.