
1001 - 5000 employees
Founded 1968
💼 Consulting
🏥 Healthcare
🍽️ Food & Beverage
Consulting • Healthcare • Food & Beverage
Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.
🔥 10 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧐 Analyst
🦅 H1B Visa Sponsor
👻 Ghost score 10%
Where this job comes from
Posted on Acxiom's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

1001 - 5000 employees
Founded 1968
💼 Consulting
🏥 Healthcare
🍽️ Food & Beverage
Consulting • Healthcare • Food & Beverage
Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.
• 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
• 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
• Healthy work-life balance • Engaged workplace culture • Dynamic, fast-moving “get stuff done” culture • Equal opportunity employer
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