Manager Analytics - Data Advancement

Employment Type

: Full-Time


: Miscellaneous

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.

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