Principal Data Solutions Analyst

Liberty Mutual Insurance • Boston, MA

7h • Remote

About The Position

Working and learning data engineering concepts that relate to data science and insurance.
Develop data pipelines for customers across the liberty organization, and utilize various tools such as R, Python, Redshift, SAS, AWS EC2, and Power BI for this purpose.
Building all required features and adding them to the pipeline to help data scientists to make their decision making faster.
Identifying data quality issues and communicating the associated risks to the stakeholders.
Developing ETL data pipelines in Redshift, AWS Glue to eliminate dependency on outdated warehousing system.
Automation of whole business scenarios from initial data pipeline building to final prediction making algorithms.
Telecommuting permitted up to 100%.

Requirements

• Employer will accept a bachelor’s degree (or foreign equivalent) in Information Systems, Computer Science, Data Analytics or related field and 5 years of experience in the job offered or in a Principal Data Solutions Analyst -related occupation.
• Coding for data management, data warehousing, and other data environments, including working in NoSQL implementation, ETL, and Java.
• Scripting languages including Python, Perl, Shell and the Hadoop stack.
• Top quadrant Business Intelligence tools.
• Experience with Data Visualization Tools including Tableau and PowerBI.
• Demonstrated knowledge of Data Governance and Data Quality Management.
• Designing data engineering solutions using open source and proprietary cloud data pipeline tools including Airflow, Glue and Dataflow.
• Analyzing complex technical problems and recommending process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency.
• Telecommuting permitted up to 100%.

Responsibilities

• Develop data pipelines for customers across the liberty organization
• Utilize various tools such as R, Python, Redshift, SAS, AWS EC2, and Power BI
• Build required features and adding them to the pipeline
• Identify data quality issues and communicating the associated risks to the stakeholders
• Develop ETL data pipelines in Redshift, AWS Glue
• Automation of whole business scenarios from initial data pipeline building to final prediction making algorithms

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level