Data Analyst & Predictive Modeling Pro

Acxiom; Województwo pomorskie; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Acxiom is seeking a Data Analyst to join the Data Sciences & Analytics Team. You will work hands-on with SQL, Python, R and Spark to build scalable data products and support US and global businesses.

Responsibilities include data extraction, transformation, modeling, validation, and collaboration with data scientists and engineers to deliver analytics-driven insights and improved products and processes. We value rigorous data hygiene, cross-functional communication, and the ability to translate

Qualifications

• Bachelor’s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience.
• 2 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions.
• 2 years experience with distributed computing - Hadoop, Spark, Pig, Hive.
• Experience with SAS a plus.
• 1-2 years of experience in Linux, shell scripting and/or similar scripting languages for automation.
• Ability to demonstrate critical thinking and translating data into actionable insight.
• At least 1 year experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering).
• Experience with Tableau, Microsoft Excel, and Power Point.

Responsibilities

• Research and develop an understanding of Acxiom products, tools, and processes.
• Assist with the validation and delivery of products or improvements.
• Prepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets.
• Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clients.
• Monitor model performance and adjust models as directed by team leads and senior data scientists.
• Perform analysis and maintenance on existing models & data products as well as the recalibration or re-development of data products.
• Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation.
• Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profiles reports or profile data.
• Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation.
• Offer ideas for product and/or process improvements such as automation related to focus area of work.
• Utilize data and partner with data scientists to develop build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications.
• Extract, load, and transform data as preparation for modeling.
• Build and maintain data mart solutions to support scored model outputs.

Skills

SQL

Python

R

Scala

Spark

ETL

Data visualization

Statistical modeling

ML basics

Problem solving

Education

Bachelor’s Degree in quantitative field

Tools

SAS

Hadoop

Spark

Tableau

Excel

PowerPoint

Shell scripting

Job description

Acxiom is seeking a Data Analyst to join the Data Sciences & Analytics Team. You will work hands-on with SQL, Python, R and Spark to build scalable data products and support US and global businesses.

Responsibilities include data extraction, transformation, modeling, validation, and collaboration with data scientists and engineers to deliver analytics-driven insights and improved products and processes. We value rigorous data hygiene, cross-functional communication, and the ability to translate