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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data transformation, ETL processes, and data mart development, with a strong ability to analyze large datasets and deliver actionable insights. Proficient in SQL, R, Python, and cloud computing environments, with a focus on quality control and data performance monitoring.
Highest-signal resume keywords
SQLETLData TransformationCloud ComputingData Mart Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLRPythonScalaSparkETLData TransformationData Mart DevelopmentStatistical ModelingData Quality Control
Soft Skills
Critical ThinkingAttention to DetailTime ManagementIndependent WorkCollaboration
Tools & Technologies
Microsoft OfficeExcelPowerPointWordDatabricksSnowflakeAWSGoogle Cloud PlatformAzure
Certifications & Qualifications
Databricks Data Analyst Certification
Industry Keywords
Data WarehousingData PipelinesData QualityCPG DataData Audits
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonScalaSnowflakeSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Healthy work-life balance
- Engaged workplace culture
- Dynamic, fast-moving “get stuff done” culture
- Equal opportunity employer