Remote Data Analytics & Quality Assurance Specialist

Work in Iowa; Des Moines (IA); Remote; USD 85,000 - 115,000; Full time

Job summary

Acxiom, a leader in data-driven marketing, is seeking a Data Analyst to join our Data Sciences & Analytics team. This remote/homebased role collaborates across US and global teams to build scalable data products and deliver actionable insights.

You will validate products, prepare datasets, run queries, and help design data pipelines and dashboards, using SQL, R, Python, and Spark, with Databricks and Snowflake experience valued.

Qualifications

• Working knowledge of SQL, R, Python, Scala, Spark or similar language.
• 3-5 years ETL and data warehousing experience including data ingestion and pipelines.
• 3-5 years cloud computing environments; Databricks and/or Snowflake a plus.
• Ability to translate data into actionable insights and quality control production processes.
• Develop dashboards or reporting for monitoring data performance and consistency.
• Bachelor’s Degree in a quantitative field and 3 years of related work experience.

Responsibilities

• Research and understand Acxiom products, tools, and processes.
• Assist with validation and delivery of products or improvements.
• Prepare analysis datasets and merge with other datasets.
• Query data to identify anomalies and perform quality audits.
• Collaborate with data scientists and team leads to define project requirements.
• Contribute to data delivery and presentation with engineering and platform teams.
• Extract, load, and transform data for modeling; build data marts for scored outputs.

Skills

SQL

R

Python

Scala

Spark

ETL

Data Warehousing

Data Analysis

Education

Bachelor's Degree in quantitative field

Tools

Databricks

Snowflake

Job description

Acxiom, a leader in data-driven marketing, is seeking a Data Analyst to join our Data Sciences & Analytics team. This remote/homebased role collaborates across US and global teams to build scalable data products and deliver actionable insights.

You will validate products, prepare datasets, run queries, and help design data pipelines and dashboards, using SQL, R, Python, and Spark, with Databricks and Snowflake experience valued.