Remote Data Quality & Validation Analyst

Acxiom; Albuquerque (NM); Remoto; USD 85.000 - 110.000; Tempo pieno

Descrizione del lavoro

Acxiom is seeking a Data Analyst to support data science and analytics for next-generation products. You will work within the Data Sciences & Analytics Team to build scalable data products for US and global clients, validate products, and ensure data quality across pipelines.

You will develop datasets, run queries, and collaborate with other data scientists to define requirements and implement models. A strong emphasis is placed on automation, data quality, and delivering actionable insights.

Competenze

• Bachelor’s degree in a quantitative field with 3 years of relevant work experience.
• Experience with ETL, data warehousing, and data pipelines.
• Proficiency in SQL and one of Python/R/Spark.

Mansioni

• Research and understand Acxiom products, tools, and processes.
• Assist with validation and delivery of products or improvements.
• Prepare analysis datasets by appending data, deduping, loading data to analysis apps, and merging with other datasets.
• Perform queries to identify data anomalies and conduct quality audits for models and rules.
• Collaborate with data scientists and teams to define project requirements and data sources.
• Extract, load, and transform data for modeling; build data marts to support scored outputs.

Conoscenze

SQL

R

Python

Scala

Spark

ETL

Data Warehousing

Data Pipelines

Critical Thinking

Quality Control

Dashboards

Microsoft Excel

Power BI

Formazione

Bachelor’s Degree in a quantitative field

Strumenti

Databricks

Snowflake

Excel

PowerPoint

Word

Descrizione del lavoro

Acxiom is seeking a Data Analyst to support data science and analytics for next-generation products. You will work within the Data Sciences & Analytics Team to build scalable data products for US and global clients, validate products, and ensure data quality across pipelines.

You will develop datasets, run queries, and collaborate with other data scientists to define requirements and implement models. A strong emphasis is placed on automation, data quality, and delivering actionable insights.