Senior Analytics Engineer, EvolutionIQ
$191.3-225k
+ Equity
More information about location
AI for insurance carriers
Open for applications
AI for insurance carriers
101-200 employees
Open for applications
$191.3-225k
+ Equity
More information about location
101-200 employees
Company mission
To transform the insurance industry through a partnership between AI and human experts, ultimately making it more fair and affordable for everyone.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in data engineering, with a focus on building analytical data platforms
- Demonstrated experience with cloud data warehousing solutions (e.g. BigQuery, Snowflake, Redshift)
- Strong proficiency in SQL and experience with data modeling techniques (e.g., star schema, dimensional modeling)
- Experience building and maintaining ETL/ELT pipelines using tools like Dagster, Apache Airflow, dbt, or similar
- Experience with programming languages such as Python, Java, or Scala
- Experience with data governance and data quality tools and processes is highly desirable
- Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality
What the job involves
- We are seeking a highly skilled and motivated Senior Analytical Data Engineer to play a pivotal role in building and scaling our next-generation analytical data platform
- This role will be instrumental in shaping our analytics strategy, designing robust data models, and ensuring the availability, accuracy, and performance of our business intelligence data assets
- As a key member of our team, you will collaborate closely with data scientists, analysts, and other engineers to deliver data-driven insights that drive critical business decisions
- Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform
- Influence decisions on technology and tool selection for data ingestion, storage, transformation, and analysis for the analytics platform
- Contribute to the overall data architecture and strategy, ensuring alignment with business needs and best practices
- Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse (e.g., cloud storage, databases, APIs)
- Develop and optimize data models for analytical use cases, ensuring data quality, consistency, and accessibility
- Establish and enforce data quality standards and processes to ensure data accuracy and integrity
- Implement data governance policies and procedures to manage data access, security, and compliance for analytics use cases
- Proactively identify and address data quality issues, working with stakeholders to resolve root causes
- Partner with data scientists, analysts, and other engineers to understand their data needs and provide solutions
- Effectively communicate technical concepts and designs to both technical and non-technical audiences
- Mentor and guide data engineers, fostering a culture of learning and collaboration
- Stay up-to-date on the latest trends and technologies in data engineering and analytics
- Identify opportunities to improve existing data processes and tools
- Proactively propose and implement innovative solutions to address data challenges
Our take
EvolutionIQ is a data-driven claim guidance platform for insurance providers. Its products combine structured and unstructured claim data with external third party data to provide powerful claim guidance, in an attempt to modernize the claims operations process.
The company's offering is certainly an attractive one for businesses handling large volumes of these claims - the solutions aim to help insurance providers detect and prevent fraud without impacting their productivity and customer experience. Historically, the insurance industry has had access to vast amounts of data without optimizing how they use it. EvolutionIQ's machine learning algorithms harness the learnings from every data point, allowing for much more well-informed, actionable insights.
Competition is steep among AI insurance firms, and EvolutionIQ counts rivals such as CCC Intelligent Solutions and Riskcovry in this space. However, the market size is huge and ripe for disruption. With a valuation of more than $200 million following a successful VC funding round, EvolutionIQ is focused on the further development of its product and international expansion as it hopes to capture a larger slice of this $10 billion market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
111% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$20.2m
LATE VC
Jun 2023
$10.3m
LATE VC
Total funding: $60.4m
Company benefits
- Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
- 401K with employer matching
- Dental Coverage – Principal Financial
- Life insurance / ACDC coverage – Reliance Standard
- Vision – Reliance Standard
- Short Term and Long Term Disability – Unum
- Employee stock option plan
- $500 to get you started setting up your home office and $200 every year for upgrades after that
Company HQ
Flatiron District, New York, NY
Leadership
Tomas Vykruta
(CEO)Has founded a number of companies including Electrolab Inc, and was a Senior Software Development Engineer at Microsoft ATG. Joined Waymo's Machine Learning wing, and then worked as a Staff Engineer at Google. Is currently one of Google's Developer Experts.
Michael Saltzman
(COO)Studied Engineering and Economics at Dartmouth, and obtained an MBA from Stanford. Co-founded Roomie Rentals while still a student, and then joined Bridgewater Associates as an Investment Associate.
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