Product Testing Analyst
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Job Description
Product Testing Analyst developing and quality-testing Acxiom data products. Preparing datasets, auditing data quality, and supporting scalable marketing analytics solutions.
Responsibilities:
- Research and develop understanding of Acxiom products, tools, and processes
- Assist with validation and delivery of products or improvements
- Prepare analysis datasets by appending, deduplicating, loading, and merging data
- Query data to identify anomalies and perform quality audits
- Support engineering, build, delivery, and platform teams with data delivery and presentation
- Perform accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarization, and profile reports
- Collaborate with data scientists and team leads to define project requirements, data sources, algorithms, and implementation
- Suggest product and process improvements, including automation
- Extract, load, and transform data for modeling
- Build and maintain data marts supporting scored model outputs
- Evaluate potential new data partners, establish quality control processes, monitor data refreshes, support a multi-sourced CPG data product, and QA final products before release or update
Requirements:
- Working knowledge or experience with SQL, R, Python, Scala, Spark, or similar programming language
- 3–5 years of experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, or data warehousing solutions
- 3–5 years of experience with cloud computing environments and/or certifications
- Bachelor’s Degree in a quantitative field or related degree programs and 3 years of relevant work experience
- Ability to demonstrate critical thinking and translate data into actionable insights
- Ability to quality control production processes
- Ability to develop dashboards or reporting for monitoring data performance and consistency
- Ability to work independently with detailed specifications and instructions
- Experience working with large datasets
- Experience with Microsoft Office suite, especially Excel, PowerPoint, and Word
- Attention to detail and time management
- Databricks and/or Snowflake experience is a plus
- Databricks data analyst certification and CPG transaction-level data experience are advantageous
- Familiarity with AWS, Google Cloud Platform, Azure, or similar cloud environments is a plus
- Experience with statistical modeling techniques using R, Python, Scala, Spark/pySpark is advantageous
Benefits:
- Healthy work-life balance
- Engaged workplace culture
- Dynamic, fast-moving “get stuff done” culture
- Equal opportunity employer
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