Junior ETL Specialist

Kraków, Poland

Applications have closed

Verisk

The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.

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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

Responsibilities:

  • Design, build, test, and deploy data pipelines to ingest new data assets into our core operating database.
  • Support efforts around data profiling, mapping, and lineage; data transformation and creation; and data and business inquiry resolutions. 
  • Implement data pipeline ingestion solutions in AWS cloud, analytics data stores in advanced analytics platforms.
  • Review the quality of data provided by insurance companies, both in transactional detail and in aggregate.
  • Work closely with subject-matter experts to create well-defined data dictionaries.
  • Maintain detailed documentation of all processes/programs supporting organizational goals.
  • Understand and take ownership of our business processes and recommend improvements in data management, error identification, quality control, process automation, or analytic techniques. 

Qualifications

  • Interest in developing data products, with emphasis on data collection, validation, and transformation,
  • Fluency in English is required,
  • Experience in quantitative and qualitative data analytics, using SQL and Python,
  • Experience working with either of the following: SQL Server/Oracle/PostgreSQL/Snowflake,
  • Strong verbal and written communication, listening, and effective summarization skills,
  • Detail-oriented technical aptitude with solid logical, problem-solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets,

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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

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Big Data Data Analytics Data governance Data management Data pipelines ETL Oracle Pipelines PostgreSQL Python Snowflake SQL

Perks/benefits: Insurance Team events

Region: Europe
Country: Poland
Job stats:  15  4  0

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