Senior Analytics Engineer (AI Insurance SaaS) at EvolutionIQ

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance, SaaS, AIIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

ETLELTData PipelineData WarehouseData ModelingData IngestionData ArchitectureSQLPythonCloud StorageAPIsBusiness Intelligence

Questions & Answers

Common questions about this position

What is the salary or compensation for the Senior Analytics Engineer role?

This information is not specified in the job description.

Is this Senior Analytics Engineer position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Analytics Engineer role?

The role requires skills in designing scalable data platforms, building ETL/ELT pipelines, data modeling, ensuring data quality and governance, and collaborating with data scientists and analysts.

What is the company culture like at EvolutionIQ?

The team is the #1 priority, fostering a culture of learning, collaboration, and innovation, and they have been named one of Inc.’s Best Workplaces 3 years in a row.

What makes a strong candidate for this Senior Analytics Engineer position?

A strong candidate is highly skilled and motivated, with experience leading data platform design, ETL/ELT pipeline development, data quality enforcement, and cross-functional collaboration, plus a drive for innovation.

EvolutionIQ

AI software for insurance claims handling

About EvolutionIQ

EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. By understanding bodily injuries like a medical expert, it quickly assigns complex claims to specialized teams, leading to faster processing and better outcomes for claimants. The goal of EvolutionIQ is to streamline claims handling, ultimately increasing the number of successful returns to work for claimants.

New York City, New YorkHeadquarters

2019Year Founded

$58.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine Learning, Financial ServicesIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

401(k) Company Match

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Hybrid Work Options

Stock Options

Company Equity

Professional Development Budget

Home Office Stipend

Risks

Integration with CCC's systems may face challenges, delaying acquisition benefits.

Acquisition could shift company culture, causing internal disruptions or turnover.

AI reliance may expose EvolutionIQ to biases, leading to unfair claim outcomes.

Differentiation

EvolutionIQ uses AI to guide claims examiners, improving efficiency and accuracy.

The platform predicts claim trajectories earlier, enhancing Return to Work outcomes.

MedHub integrates medical data synthesis, streamlining claims decision-making.

Upsides

Acquisition by CCC Intelligent Solutions validates EvolutionIQ's AI capabilities in claims management.

Partnership with Lincoln Financial enhances disability claims processes and customer satisfaction.

Recent $10 million equity investment supports expansion and product development.

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