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Overnight Insurance Data Analytics Jobs in Spokane, WA

Data Engineer

Spokane, WA · On-site

$115K - $139K/yr

You will partner closely with the BI & Analytics Developer(s) and business stakeholders to ensure ... Eligibility for company-paid benefits such as life insurance, short-term disability, long-term care ...

Financial Analyst II

Liberty Lake, WA · On-site

$80 - $100/hr

Medical, dental, vision and life insurance * Training and career development An overview of the ... Utilize SQL, data warehouse, and data analysis and visualization tools to extract, compile, analyze ...

Sr HSE Engineer

Spokane, WA · On-site

$100 - $125/hr

Analyze plant sustainability and operational data to identify emissions, efficiency, and process ... This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

(USA) Realty Project Coach

Spokane, WA · On-site

$80K - $110K/yr

Mileage will be reimbursed, and overnight stays will be paid for RPC roles. Salary: The annual ... data analysis, or related area OR 3 years of experience in project management, space management ...

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Overnight Insurance Data Analytics information

See Spokane, WA salary details

$154.7K

$180.7K

$204.2K

How much do overnight insurance data analytics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for overnight insurance data analytics in Spokane, WA is $180,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,300.00 and $193,600.00 per year, depending on experience, location, and employer.

What is overnight insurance data analytics?

Overnight Insurance Data Analytics refers to the process of analyzing insurance data during overnight shifts or using automated systems to process large volumes of data outside of regular business hours. This ensures that insurance companies can quickly identify trends, detect fraud, and make informed decisions by the start of the next business day. Professionals in this role typically work with claims data, customer information, and risk assessments using advanced analytical tools and software. The goal is to improve operational efficiency and support decision-making processes.

What are the key skills and qualifications needed to thrive as an overnight insurance data analytics professional?

To excel in Overnight Insurance Data Analytics, you need strong analytical abilities, proficiency in statistical methods, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and insurance-specific software is often required, along with experience in using data visualization platforms like Tableau or Power BI. Attention to detail, problem-solving skills, and the ability to communicate findings clearly are essential soft skills for this role. These competencies are vital for accurately interpreting large datasets during non-standard hours, supporting timely business decisions, and identifying trends or anomalies that impact insurance operations.

What unique challenges might I encounter working in an overnight insurance data analytics role?

Working overnight in insurance data analytics can present unique challenges, including adjusting to non-traditional work hours and maintaining effective communication with daytime teams. You may often handle urgent data requests or last-minute reporting, which requires strong problem-solving skills and the ability to work independently. Additionally, you’ll likely need to coordinate with colleagues across different time zones and shifts to ensure seamless handoffs and continuity in analytics projects. Adapting to the overnight schedule while maintaining high attention to detail and data integrity is essential for success in this role.

What is the difference between Overnight Insurance Data Analytics vs Underwriting Analyst?

AspectOvernight Insurance Data AnalyticsUnderwriting Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like CAP, CPCU beneficialBachelor's in Business, Finance, or related field; certifications like CPCU or ARM advantageous
Work EnvironmentData centers, analytics teams, remote or office settingsInsurance companies, underwriting departments, office settings
Industry UsageFocuses on analyzing insurance data overnight to support decision-makingEvaluates risks and determines policy terms for insurance applications

While both roles involve insurance data, Overnight Insurance Data Analytics primarily focuses on analyzing data during overnight shifts to inform business decisions, whereas Underwriting Analysts assess risks and set policy terms. The roles share similar credentials but differ in daily tasks and work environment.

What are the most commonly searched types of Insurance Data Analytics jobs in Spokane, WA?

The most popular types of Insurance Data Analytics jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Overnight Insurance Data Analytics jobs?

Cities near Spokane, WA with the most Overnight Insurance Data Analytics job openings:

Data Engineer

Spokane, WA • On-site

$115K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream business processes across all entities (Crescent, STWY, WMCK, LOWE). You will build and maintain the platform's Bronze/Silver/Gold data layers, ensures a single source of truth for critical data, and provides indirect leadership and mentorship to the SQL Developers on the data platform team. You will partner closely with the BI & Analytics Developer(s) and business stakeholders to ensure the underlying data is accurate, well-governed, and structured to support self-service reporting and advanced analytics.

PRIMARY DUTIES:

  • Pipeline Architecture & Development: Design, build, and maintain scalable ETL/ELT data pipelines that move data from source systems (Eclipse/Epicor, Salesforce, Workday, and others) into the governed data platform.

  • Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture) that eliminate redundant business logic and establish a single source of truth.

  • Platform Modernization: Lead the technical build-out of the data platform in support of the Google Cloud migration, retiring shadow data paths and truncate-and-reload patterns in favor of governed, auditable processes.

  • AI-Enabled Engineering: Learn and leverage AI coding tools (such as Claude Code) to optimize pipeline code, accelerate development, and streamline data delivery processes; evaluate and champion effective AI-assisted engineering practices across the data platform team.

  • Data Quality & Governance: Engineer governance, validation, and error-handling directly into pipeline design rather than relying on downstream policy; monitor pipeline health and proactively resolve data integrity issues.

  • Technical Mentorship & Leadership: Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data platform team; set standards and best practices for SQL development and pipeline design.

  • Cross-Functional Collaboration: Partner with the DBA, BI Developer(s), and business stakeholders to translate business and reporting requirements into technical pipeline and data structure designs.

  • Documentation: Maintain clear technical documentation of data flows, transformations, and architecture to support team continuity and knowledge transfer.

  • Security & Compliance: Ensure data pipelines adhere to data handling, access control, and security standards across all four ERP instances.

QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent practical experience.

  • 5-7+ years of experience in data engineering, ETL development, or database development.

  • Experience supporting multi-entity or multi-ERP environments a plus.

  • Strong hands-on expertise in SQL and relational database systems; working knowledge of NoSQL a plus.

  • Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent.

  • Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience strongly preferred.

  • Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures.

  • Scripting/programming experience (Python or similar) for automation and data transformation a plus.

  • Experience with ERP systems (Eclipse/Epicor) a plus.

  • Demonstrated ability to mentor and guide less-experienced developers.

  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve data integrity issues in complex, multi-system environments.

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Hands-on AI experience a plus.

  • Willingness to learn and apply AI coding tools (e.g., Claude Code) to optimize development work and streamline pipeline delivery.

PHYSICAL DEMANDS:

  • Frequent sitting, standing, and occasional walking.

  • Occasional reaching, twisting, bending.

  • Extensive use of technology, such as phone, computer, and keyboard.

  • Close vision with clear vision at 20 inches or less.

  • Color vision with the ability to identify and distinguish colors.

  • May be required to work more than 40 hours per week.

#LI-CECE

Total Rewards and Benefits

Crescent Electric's compensation package includes an array of top-tier benefit options, including:

  • Eligibility for health, and dental, vision coverage, 401(k) plan, and flexible spending accounts, subject to plan terms.
  • Eligibility for company-paid benefits such as life insurance, short-term disability, long-term care, and Employee Assistance Program, subject to applicable waiting periods.
  • Excused Absence time off and Paid Time Off (PTO).
  • Company-paid holidays.
  • Other benefits for which you may be eligible includes supplemental life insurance, hospital indemnity, and accident and critical illness benefits with cancer coverage.
  • Eligibility: Employees are eligible for health, dental, vision, and life insurance benefits on the first of the month following 30 days of employment. Employees who are 21 years of age or older will be automatically enrolled in the company's 401(k) plan once they achieve 90 days of employment.

Family Owned. Culture of Quality. Opportunities to Advance.

Crescent is transforming and we are on a missionto power the communities we serve through teamwork and relentless customer focus. We have a visionof uncompromising teamwork committed to becoming the industry leader for our employees, suppliers, and shareholders. At Crescent, you will have the opportunity to develop professionally, grow personally and have the flexibility to balance your life's priorities. Let's serve together. Let's power our communities together. Let's become THE industry leaders...together.

Crescent Electric Supply Company is proudly an Equal Opportunity Employer. Crescent Electric does not discriminate on the basis of age, color, race, national origin, gender, religion, marital status, disability, veteran, military status, sexual identity or expression, sexual orientation, or any other basis prohibited by local, state, or federal law.

Veterans and military spouses are highly encouraged to apply. We recognize and value the unique strengths of the military community in supporting our mission to serve those who have served.

Candidates are subject to pre-employment assessments, Motor Vehicle Record review, criminal background checks, references check, and a post-offer drug screen. Crescent Electric is committed to the full inclusion of all qualified individuals. As part of this commitment, Crescent Electric will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact jobs@cesco.com