Data Analyst

Company Description

As the largest aggregator of structured risk information and property data in Canada,Opta Information Intelligence is a leading provider of property intelligence and innovative technology solutions. Combined with proprietary technology, Opta helps clients access, understand, and synthesize previously inaccessible information, turning it into intelligence that helps to discover and understand business risks.

Job Description

The Data Analyst will be a key contributor to Opta’s big data and AI expertise. The incumbent will be responsible for building, analyzing, and reporting on large and sample data assets. Using their strong statistical techniques, they will apply the right analysis strategy to deliver insight, relationships and repeatable queries or processes. Working closely with Product, Sales, R&D, IT and Professional Services, the individual will be responsible for analyzing complex data sets and the fulfillment of customer requests with an eye to business value and quality. The individual will work closely with Business Analysts to articulate production system requirements for Opta’s data assets, and with IT, Operations, Professional Services, and R&D to deliver and optimize analytical products and solutions. In addition, the individual will be responsible for augmenting Opta’s data assets with additional open data sources that support Opta’s data driven strategies and financial objectives.

• Prepare, coordinate and analyze customer data set and deliverables.
• Participate in the production and operations of analytics and reporting products and solutions, with responsibility for specific deliverables.
• Provide direct support to Sales partners in the development and conversion of pipeline opportunities
• Review existing data and current techniques to ensure integrity, and identify new data management and translation methods resulting in data integration improvements
• Maintain and improve data integrity and accuracy of assets, identifying ways to eliminate recurring data issues
• Articulate data requirements for production systems
• Load, validate, compile and analyze available data assets
• Produce reports based on business objectives and strategic requirements
• Assess market needs related to data and develop strategic options for data acquisition and product development
• Aid in the setup, process improvement and maturing of an analytics practice with in the organization
• Provide summary reporting to management on his/her ongoing work, analysis and projects

Qualifications

• 3-5 years experience working in an entrepreneurial, fast-paced environment with cross functional teams
• Strong analytical and problem solving skills with the capability to look for solutions outside existing boundaries.
• Ability to navigate, construct and transform big data, data lakes and databases to create actionable insights.
• Adept at statistical analysis, trending and very detail oriented.
• Highly proficient in some of the following: Excel, SQL, Hadoop, R, SAS with a strong understanding of computer systems.
• Experience with Robotic Process Automation (RPA) tools strongly preferred
• Strong interpersonal skills and customer focus
• Written and oral fluency in English.
• Familiarity with data mining techniques, ETL practices and solutions within a Data Warehouse environment.
• Confident in creating and comprehending advanced spreadsheets, databases, data structures, etc.
• Experience effectively identifying (non-technical) user requirements, develop and execute a plan to deliver those requirements.
• Mortgage, banking or insurance industry knowledge would be an asset.

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Additional Information

We are proud to be a part of the Verisk family of companies!

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 fifth 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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