Data Analyst
Jersey City, NJ, United States
Verisk
The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.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
- Ability to collaborate with cross-functional business and technical teams equally efficiently, with the ability to collect, organize, analyze, and disseminate data from multiple data sources
- Investigate and perform complex analyses on disparate datasets using data profiling skills and coming up with the best practices to maintain data consistency, completeness, accuracy, and standardization
- Make automation recommendations for the smooth ingestion, massaging and dissemination of data
- Ability to collaborate with product owners and business users to understand the requirements and incorporate the feedback in the system and process
- Ensure the data quality using data validation checks and performing data QA on the implemented data processes
- Collaborate with data office to align the project deliverables with strategic data initiatives
- Ability to write mappings documents within and across datasets
- Create reports for internal teams and/or external clients
- Experience in Data cataloging and Data lineage
- Strong cognitive ability to prioritize, streamline, implement and communicate data deliveries and risks
- Ability to communicate with business counterpart, gather and analyze the requirements
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems or relevant fields
- Minimum 3-4 years of data analysis or data visualization experience
- Hands on proficiency in SQL is a must
- Experience with data visualization (Tableau, Power BI etc.)
- Proficient in MS Office – Excel, Word, PowerPoint
- Experience with cloud/AWS
- Experience with data modeling
- Creative problem-solving skills with result-oriented mindset
- Analytical, organized, and proactive mindset with attention to details
- Knowledge of data visualization tools, data dictionaries, metadata repositories
- Experience with Python or a relevant programming language is a plus
- Familiarity with ETL concepts is a plus
- Individual contributor with ability to mentor juniors if need be
- Excellent verbal and written communication skills
- Experience with Insurance business domain is a plus
#LI-MB1
Additional Information
In 2022, Verisk received Great Place to Work® Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. We’re also one of the 38 companies on the UK’s Best Workplaces™ list and one of 18 companies on Spain’s Best Workplaces™ list.
For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we’ve grown to provide analytic insights that help transform industries focused on some of the world’s most critical areas. Today, the insurance industry relies on Verisk to be, and to make the world, more productive, resilient, and sustainable.
Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies. Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale.
We’re 9,000 people strong, committed to translating big data into big ideas. We help others see new possibilities and empower certainty into big decisions that impact individuals and societies. And we relentlessly and ethically pursue innovation to help move our customers, and the world, toward better tomorrows.
Everyone at Verisk—from our chief executive officer to our newest employee—is guided by The Verisk Way, to Be Remarkable, Add Value, and Innovate.
• Be Remarkable by doing something better each day in service to our customers and each other
• Add Value by delivering immediate and sustained results that drive positive outcomes
• Innovate by redefining what’s possible, embracing challenges, and pushing boundaries
Verisk Businesses
Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
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
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
At Verisk, the health and safety of our people is our number one priority. Effective November 15, 2021, and subject to applicable law, all prospective hires for office based roles or roles that support any of our businesses’ government contracts will be required to demonstrate that they are fully vaccinated against COVID-19 by their start date, or qualify for a legally-required medical or religious accommodation to this vaccination requirement, as a condition of employment. Hired candidates who do not demonstrate that they are fully vaccinated against COVID-19 by their start date, and who have not been approved for a legally-required medical or religious accommodation will no longer meet the requirements for employment and their offers of employment will be immediately rescinded, in accordance with applicable law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Data analysis Data governance Data quality Data visualization Engineering ETL Excel Power BI Privacy Python SQL Tableau
Perks/benefits: Career development Equity Insurance Team events
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