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Job Information

Travelers Manager, Data Analytics Engineering in Helena, Montana

Company Information

Solid reputation, passionate people and endless opportunities. That’s Travelers. Our superior financial strength and consistent record of strong operating returns mean security for our customers – and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.

Job Category

Analytics & Research, Bus Intelligence & Management Information

Target Openings

2

Job Description Summary

Enterprise Business Intelligence & Analytics Technology is a team of highly motivated and skilled professionals who are leading Travelers’ analytics journey and driving business value that creates a sustainable competitive advantage for our company. We accomplish this by helping the enterprise adopt various technology platforms ranging from storage, compute (private and public cloud), AI, Predictive modelling, Data Management, Data Ops and Data Products.

Primary Job Duties & Responsibilities

  • Data Acquisition, Prep and Exploration:Reviews unfamiliar data sources. Connects to value for business. Able to link to systems.

  • Develops process to acquire and integrate data.

  • Independently reviews, prepares, designs and integrates complex (type, quality, volume) data correcting problems and recommends data cleansing/quality solutions to major issues.

  • Works within Travelers standards, processes, and protocols.

  • Develops moderate and applies complex data derivations, business transformation rules, and data requirements.

  • Leads medium scale projects and coordinates aspects of larger projects with limited supervision.

  • Performs analysis of complex (type, quality, volume) sources to determine value and use. Determines and recommends data to include in analytical projects.

  • Creates moderate (technology and features) data visualization techniques to help support data exploration.

  • Utilizes business knowledge to explain technical activities in business terms.

  • Actively seeks opportunities to expand technical knowledge and capabilities.

  • Develops and maintains relationships across the enterprise.

  • Analytic Data Discovery:Operationalizes and automates more complex (more systems, data sets and streams, size of data sets more substantial) products into business.

  • Proactively looks to improve and optimize data products.

  • Builds, tests, and implements complex analytic business products, including pilots and proof of concept.

  • Applies knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects and/or enhancements.

  • Analytic Support:Independently train business users on data products/analytic environment.

  • Ensures customer satisfaction through professional communication, follow-up, and responsiveness to issues.

  • Consultation:Shares knowledge with users on data or analytic products.

  • Builds effective relationships with stakeholders.

  • Provides guidance and mentorship to lower level technical employees.

  • Perform other duties as assigned.

Minimum Qualifications

  • 4 years of relevant experience with data tools, techniques, and manipulation required.

Education, Work Experience, & Knowledge

  • Education: College Degree in STEM related field

  • Technical Knowledge: Advanced knowledge of data tools, techniques, and manipulation preferred.

  • Examples (but not limited to):

  • Big data and Cloud platforms

  • Programming languages - SAS, SQL, Spark, Python, Hive, AWS

  • Visualization platforms: QlikView, Tableau, MicroStrategy and Qlik Sense

  • Experience: 5 years of relevant experience with data tools, techniques, and manipulation preferred.

Job Specific Technical Skills & Competencies

Intermediate knowledge of data tools, techniques, and manipulation preferred. Examples (but not limited to):

  • RDBMS, NoSql DB, big data querying platforms, Google BigQuery preferred or comparable (AWS Redshift, Hive QL, etc).

  • Programming languages - SAS, SQL, Spark, Python, Hive, AWS

  • Visualization platforms: QlikView, Tableau, MicroStrategy and Qlik Sense

  • Data integration tools - Talend, Ab Initio

  • Scheduling tools - Autosys, Control-M

  • Data concepts - Data Warehouse, Data Model, DB Design, Data Mapping

  • Cloud specific skills around data pipeline, storage and analysis solutions - Ex: Use of AWS cloud services: EC2, EMR, RDS, Redshift, S3, Lambda, Kinesis

  • Containerization technologies - Docker, Kubernetes

  • Data serialization formats - Apache Avro, Parquet, Protobuf, Apache Thrift.

Environmental / Work Schedules / Other

  • Operates standard office equipment

  • Continuously Sitting (Can stand at will)

  • Continuously Use of Keyboards, Sporadic 10-Key - Continuously

Equal Employment Opportunity Statement

Travelers is an equal opportunity employer.

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