Analytics Engineer

Job not on LinkedIn

🕒 July 27

⛷️ Utah – Remote

⛷️ Utah – Remote

💵 $100k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Verisk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1971

💼 Consulting

🏗️ Construction

📦 Logistics

💰 $500M Post-IPO Debt on 2023-03

Consulting • Construction • Logistics

Verisk is a company that specializes in providing advanced data analytics, technology, and scientific research to the global insurance industry. It delivers solutions across various insurance sectors such as Property & Casualty, Life and Annuities, Reinsurance, and Specialty Markets, helping clients to assess and price risks with speed and precision. Verisk's offerings include underwriting and rating support, claims management, compliance, catastrophe risk modeling, and insights into extreme event risks. Additionally, Verisk serves other industries such as construction, real estate, and transportation by offering data-driven insights and solutions for risk assessment and business optimization, while also contributing to sustainability and resilience initiatives through its research and analytics.

📋 Description

• Research and work with business stakeholders to develop the data warehouse model • Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning • Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions • Ensure data accuracy, consistency, and reliability across all datasets • Optimize data processes for performance and scalability • Maintain comprehensive documentation of transformation logic and lineage

🎯 Requirements

• Bachelor’s degree in computer science, Data Engineering, or a related field • 3+ years of experience as an Analytics Engineer or in a similar role • Ability to work with technical and non-technical audiences to translate business requirements into data models • Knowledge of data warehousing concepts and solutions such as Redshift and Snowflake • Experience in modern data modeling practices, ideally dimensional modeling • Proficiency in SQL and familiarity with Python • Experience with ETL tools and frameworks such as Apache Airflow, Luigi, and DBT • Strong knowledge of relational databases such as PostgreSQL and MySQL • Knowledge of NoSQL databases such as MongoDB and Cassandra • Proficiency with version control systems such as Git • Understanding of machine learning concepts and experience working with data for ML model training • Familiarity and enthusiasm for analytical enablement using Large Language Models and Prompt Engineering

🏖️ Benefits

• Health Insurance • Retirement Plan • Disability benefits • Paid Time Off program • Competitive total rewards package • Short-term incentive