Data Analyst - Data Science & Analytics

Acxiom; Województwo pomorskie; On-site; PLN 90,000 - 150,000; Full time

Job summary

Acxiom in Poland is seeking a Data Analyst to join the Data Sciences & Analytics Team. You will work hands-on with SQL, Python, R, Spark and ETL processes to prepare data, validate models, and deliver insights for US and global clients.

Responsibilities include building analysis datasets, performing quality audits, monitoring model performance, and collaborating with data scientists to create data products and audience propensity models.

Qualifications

• 2+ years experience with ETL, data transformation, data warehousing, and data pipelines.
• 1-2 years Linux shell scripting or similar automation.
• At least 1 year building models and knowledge of ML algorithms (GLM, Trees, SVM).
• Bachelor’s Degree in a quantitative field and 2 years relevant work experience.
• Experience with SQL, Python, R, Spark, and distributed computing.

Responsibilities

• Prepare analysis datasets by appending data, deduping, and merging with other datasets.
• Perform queries to identify data anomalies and ensure quality before delivering to clients.
• Monitor model performance and recalibrate models as needed.
• Collaborate with data scientists to define project requirements and data sources.
• Develop data products and audience propensity models used in client applications.

Skills

SQL

Python

R

Spark

ETL

Data visualization

Analytical thinking

Education

Bachelor's Degree in a quantitative field (Applied Mathematics, Statistics, Economics, or Computer Science)

Tools

SAS

Tableau

Hadoop

Hive

Spark/PySpark

Job description

Acxiom in Poland is seeking a Data Analyst to join the Data Sciences & Analytics Team. You will work hands-on with SQL, Python, R, Spark and ETL processes to prepare data, validate models, and deliver insights for US and global clients.

Responsibilities include building analysis datasets, performing quality audits, monitoring model performance, and collaborating with data scientists to create data products and audience propensity models.