At Acxiom our vision is to transform data into value for everyone. Our data services enable marketers to recognize better understand and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxioms business.
As part of the Data Sciences & Analytics Team you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data come up with modeling requirements applying creativity to test hypotheses prepare & automate data preparation processes build models analyze and visualize results and integrate the solution into innovative data products.
What you will do:
Platform Related:
- Support Active Users of MRM with questions they have on the system and processes utilized in the tool.
- Collaborate with stakeholders to discuss requirements upcoming projects timelines and issues
- Develop Requirements for System Enhancements by working with cross functional teams requiring the change and writing user stories.
- Communicate with IT to implement changes through an iterative agile process
- Manage Technology Releases using agile methodology by utilizing JIRA and prioritizing grooming enhancements
- Manage and Complete UAT and Production Validation including writing and executing test scripts
- Provide system accesses to users
- Maintain Features Document
- Help manage Ongoing and Annual User Training and Documentation.
Invoice and Accrual Management Related:
- Manage the accruals processes
- Create and analyze reports to ensure accuracy of data
- Manage all invoice processing in P2P and associated reclassing in MRM
- Track and manage vendor spend
- Manage project code processes
What you will need:
- Working knowledge or experience with one or more of the following tools: SQL R Python Scala Spark or similar programming language
- 1-2 years of experience in Linux shell scripting and/or similar scripting languages for automation
- Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
- Bachelors Degree in a quantitative field (Applied Mathematics Applied Statistics Economics or Computer Science) or related degree programs and 2 years of relevant work experience
- Ability to work independently when given detailed specification and instruction
- At least 1 year of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R Python Scala Spark/pySpark
- Standout colleague flexible and creative
- Attention to detail and time management delivering high quality work while meeting deadlines
- Experience working with large datasets
- Experience with Tableau Microsoft Excel and Power Point
What will set you apart:
- Knowledge of Deep Learning Neural Network based on modeling frameworks a plus
- Familiarity with cloud environments (e.g. AWS Google Cloud Platform Azure etc.) a plus
Primary Location City/State:
Homebased - Conway Arkansas
Additional Locations (if applicable):
Acxiom is an equal opportunity employer including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting hiring training promotion or other employment of associates or the awarding of subcontracts because of a persons 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.
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.
Attention Colorado California Connecticut Maryland NevadaNew Jersey New York City Ohio Rhode Island and Washington Applicants: This position is not located in the aforementionedlocationsbut applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws please contact.