Product Testing Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct research to enhance understanding of Acxiom's products, tools, and processes.

• Assist in the validation and delivery of products or enhancements.

• Create analysis datasets by appending, deduplicating, loading, and merging data.

• Query data to detect anomalies and conduct quality audits.

• Provide support to engineering, build, delivery, and platform teams regarding data delivery and presentation.

• Execute accuracy reports, cross-tabulations, frequency analyses, data hygiene checks, correlations, data summarization, and profile reports.

• Collaborate with data scientists and team leaders to establish project requirements, data sources, algorithms, and implementation strategies.

• Recommend improvements to products and processes, including automation initiatives.

• Extract, load, and transform data for modeling purposes.

• Construct and maintain data marts that support scored model outputs.

• Assess potential new data partners, implement quality control processes, monitor data refreshes, support a multi-sourced CPG data product, and perform quality assurance on final products before release or updates.

⛳️ Requirements

• Proficient knowledge or experience with SQL, R, Python, Scala, Spark, or similar programming languages.

• 3–5 years of experience in ETL, data transformation, data mart development, data source ingestion, data pipelining, or data warehousing solutions.

• 3–5 years of experience in cloud computing environments and/or relevant certifications.

• Bachelor’s Degree in a quantitative field or a related degree program, along with 3 years of pertinent work experience.

• Proven ability to demonstrate critical thinking and convert data into actionable insights.

• Competency in quality control for production processes.

• Capability to develop dashboards or reports for monitoring data performance and consistency.

• Ability to work independently while following detailed specifications and instructions.

• Experience handling large datasets.

• Familiarity with the Microsoft Office suite, particularly Excel, PowerPoint, and Word.

• Strong attention to detail and effective time management skills.

• Experience with Databricks and/or Snowflake is considered a plus.

• Databricks data analyst certification and experience with CPG transaction-level data are advantageous.

• Knowledge of AWS, Google Cloud Platform, Azure, or similar cloud environments is beneficial.

• Experience with statistical modeling techniques using R, Python, Scala, Spark/pySpark is a plus.

🏝️ Benefits

• Healthy work-life balance.

• Engaged workplace culture.

• Dynamic, fast-paced "get stuff done" environment.

• Equal opportunity employer.