Data Analyst_P2

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

At Acxiom, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxiom's business. As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses.

What you will do:

• 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

What you will need:

• Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language


• 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 enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models


• 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


• Ability to work independently when given detailed specification and instruction


• At least 1 year experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)


• At least 1 year of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark


• Standout colleague, flexible, and creative


• Attention to detail and time management delivering high quality work while meeting deadlines


• Experience working with large datasets


• Experience with Tableau, Microsoft Excel, and Power Point

What will set you apart:

• Knowledge of Deep Learning, Neural Network based on modeling frameworks a plus


• Familiarity with cloud environments (e.g. AWS, Google Cloud Platform, Azure etc.) a plus

We believe in building an awesome workplace where associates feel engaged and want to come to work every single day. It's important to Acxiom that we invest in our culture and promote a healthy work-life balance, even when our associates are at work. As a part of our team, you will join a fast-moving, dynamic, "get stuff done" culture we empower our people to do their jobs. You will always be guided to do what's right, legally and morally for our customers. At Acxiom, we believe in exceptionalism- we intend to be the absolute best in everything we do.

Additional Locations (if applicable):

The global leader in interactive marketing services, Acxiom connects clients with their customers through deep consumer insight that enables effective and profitable marketing initiatives and business decisions. Our consultative approach spans multiple industries and incorporates decades of experience in consumer data and analytics, information technology, data integration, and consulting solutions for effective marketing across digital, Internet, email, mobile and direct mail channels.