Junior Data Analyst with SQL

1 tydzień temu

Kraków, Lesser Poland Verisk Pełny etat

You will play a hands-on role in developing new processes to create a wide variety of ISO's analytic solutions including: our advisory prospective loss costs and rating factors; analyses that underlie the development of our loss costs (such as distributions by peril, classification or geographic area); actuarial projection of ultimate claims, and analysis of trends impacting premiums and claims; analytical data management, including smart data quality analytics, data aggregations provided to US state insurance regulators and analytic research & development.

A successful Insurance Data Analyst will possess excellent technical and mathematical skills, to work with data and derive analyses. Most important, though, is a sense of inquisitiveness about data, and the ability not just to manipulate data, but to also understand and preserve the business meaning behind it.

Responsibilities
  • Create, modify and execute computer programs to extract, transform and summarize data, as input to derive analyses and reports.
  • Support strategic initiatives associated with cloud computing, by helping to migrate code, data and processes, and reconciling results against existing procedures.
  • Understand and take ownership of our business processes, and recommend improvements in data management, error identification, quality control, process automation, or analytic techniques.
  • Create clear and easy to understand reports.
  • Present your analyses, ideas, progress and results to internal manager and colleagues.
  • Communicate effectively with customers and insurance regulators.
  • Support a high-performance collaborative culture. Participate in peer-review with colleagues on an ongoing basis to learn, teach, and ultimately, produce high quality results.
  • Understanding of:
    • The structure of insurance datasets.
    • The US P&C insurance business including coverages, components of rating variables, etc.
    • Basic actuarial concepts.
    • Develop knowledge of Verisk Analytics' business practices, products, and data sources.
    • Remain current on big data techniques and become familiar with state-of-the-art tools.
    • Contribute to the creation of detailed project plans to ensure projects are completed on time.
    Qualifications
    • Fluency in English is required (at least B2 spoken and written).
    • Analytical thinking and attention to details.
    • Knowledge of Excel (pivot tables, formulas, conditional formatting).
    • Familiarity with SQL (we are open for basic level users as well as for intermediate proficiency).
    • Attention to detail to follow elaborate instructions and to spot even little differences in data.
    • Good presentation and public speaking skills with focus on internal stakeholders.
    • Willing to work in a hybrid model as a full-time employee and grow within an insur-tech company.
    • Ability to manage competing, high-priority demands and prioritize workloads while managing projects and multiple responsibilities against strict deadlines.
    About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Job Info
  • Job Identification 192
  • Job Category Data Science and Business Intelligence
  • Posting Date 01/03/2025, 01:36 PM
  • Job Schedule Full time
  • Locations Krakow, Malopolskie, Poland
  • Work Arrangement Hybrid
  • Division Underwriting Solutions
  • Projected End Date 09/01/2026
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