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 Acxiom’s 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 evaluating potential new data partners, establishing quality control processes, monitoring data refreshes, supporting the build of a multi-sourced CPG data product, and QA the final product prior to release/update.
What you will do:
- Research and develop an understanding of Acxiom products, tools, and processes
- Assist with the validation and delivery of products or improvements
- Prepare analysis datasets by appending data, deduping, loading data to analysis applications, and merging with other datasets
- Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models
- Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation
- Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profiles reports or profile data
- Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
- Offer ideas for product and/or process improvements such as automation related to focus area of work
- Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputs
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
- 3-5 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions
- 3-5 years experience with cloud computing environments and/or certifications - Databricks and/or Snowflake is a plus.
- Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
- Ability to quality control production processes
- Ability to develop dashboards or reporting for monitoring data performance and consistency.
- Bachelor’s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 3 years of relevant work experience
- Ability to work independently when given detailed specification and instruction
- Standout colleague, flexible, and creative
- Attention to detail and time management delivering high quality work while meeting deadlines
- Experience working with large datasets
- Experience Microsoft Office suite – especially Excel, Power Point, Word
What will set you apart:
- Databricks data analyst certification and experience with CPG transaction level data
- Familiarity with cloud environments (e.g. AWS, Google Cloud Platform, Azure etc.) a plus
- Experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark
Primary Location City/State:
Homebased - Conway, Arkansas
Additional Locations (if applicable):
