Junior ETL Data Engineer

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

• Under supervision, participates in the development and execution of analysis project plans for timely project completion.  May contribute to project hypothesis and goal setting. 
• Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.  
• Ensures statistical, computational, and algorithmic validity of results. 
• Performs analyses of structured and unstructured data to solve multiple and complex business problems, utilizing advanced statistical, mathematical and machine learning technique. 
• Ability to keep up to date with emerging methods and environments. 
• Provides required support for project delivery and implementation. 
• Collaboration with Verisk Cloud Data Lakehouse to support Insurance Analytics work 
• Develop, construct, test, and maintain architectures 
• Align architecture with business requirements 
• Data acquisition 
• Develop data set processes 
• Use programming language and tools 
• Identify ways to improve data reliability, efficiency, and quality 
• Deploy sophisticated analytics programs, machine learning, and statistical methods 
• Creates clear and easy to understand documents for product support (technical).  
• Presents analysis ideas, progress reports and results to internal managers, project managers. 
• Collaborates with Lead or Principal Data Scientist to develop technical/business approaches and new or enhanced technical tools. 

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Qualifications

Required:

• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.   
• Skilled with feature engineering, model selection and assessment methodologies, and familiarity with all stages of the data science pipeline.  
• Skilled programming in – SQL, Python, PySpark,  
• Knowledge in and applied experience with statistical and machine learning. 
• Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SLQ). 
• Working familiarity with cloud computing environments. 
• Demonstrated skills with Data Engineering Tools – Database, Data Transformation, Data Ingestion, Data Mining, Data Warehousing and ETL/LTE, Reasl-time Processing Framework, Data Buffering, Cloud Computing, and Data Visualization  
• Logical, evidence-based problem solving and critical thinking skills. 

Preferred:  

• Insurance experience, focusing on the personal lines or related business content. 

Additional Information

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the 7th consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

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