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At Home Insurance Data Analytics Jobs (NOW HIRING)

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

If you're excited about live events, cutting-edge technology, and doing work that truly matters, you'll feel right at home here. The Role: The Data & Analytics Lead is the "intelligence engine" for ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

OR · Hybrid

At Shift, we build the most impactful products for insurers globally, leveraging data and agentic ... Proficiency in data analysis: Ability to find innovative ways to look at data and create useful ...

Interpret data related to Property & Casualty insurance , including claims and policy data ... Use Python for data analysis, automation, and data transformation * Write and optimize MySQL ...

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ... at the time of the offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term ...

Manager, Data Analytics

Atlanta, GA · On-site

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor ... at the time of the offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term ...

This role is eligible for health insurance, life insurance, retirement benefits, participation in ... The actual offer will be at the company's sole discretion and determined by relevant business ...

Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to ...

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

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At Home Insurance Data Analytics information

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$24

$54

$94

How much do at home insurance data analytics jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for at home insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is an At Home Insurance Data Analytics job?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What types of data sources and tools will I typically work with as an At Home Insurance Data Analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What are the key skills and qualifications needed to thrive as an At Home Insurance Data Analytics professional, and why are they important?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

What cities are hiring for At Home Insurance Data Analytics jobs? Cities with the most At Home Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most At Home Insurance Data Analytics jobs? States with the most job openings for At Home Insurance Data Analytics jobs include:
Data Analytics Lead

Data Analytics Lead

Boeing

San Antonio, TX • On-site

Full-time

Medical, Life, Retirement

Posted 17 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 598 frontline employees who took The Breakroom Quiz

35th of 527 rated manufacturers


Job description

Data Analytics Lead

Company:

The Boeing Company

Boeing Enterprise Classified Security is seeking a highly motivated Data Analytics Lead to join our team in Seattle, WA; Arlington, VA; El Segundo, CA; Huntington Beach, CA; Huntsville, AL; Long Beach, CA; Mesa, AZ; Ridley Park, PA; San Antonio, TX; Seal Beach, CA; Berkeley, MO or Hazelwood, MO.

The Data Analytics Lead will play a critical role in supporting Enterprise Classified Security's (ECS) strategic goals by delivering actionable insights through comprehensive project analytics and portfolio management.

This position is responsible for maintaining a centralized view of all ECS projects, ensuring accurate tracking, prioritization, and reporting across the portfolio. The role will partner with stakeholders to enhance visibility into project status, resource utilization, and performance trends, enabling more informed decision-making and stronger operational alignment.

Position Responsibilities:

  • Maintain a centralized, accurate view of all ECS projects, programs, and portfolio activities

  • Track project status, milestones, dependencies, risks, and issues across the portfolio

  • Develop and maintain reporting dashboards, scorecards, and analytics tools to improve visibility into project performance

  • Monitor resource utilization, workload distribution, and capacity trends to support portfolio planning

  • Partner with stakeholders and leadership to ensure data accuracy, alignment, and consistency in reporting

  • Analyze project and portfolio data to identify trends, performance gaps, and opportunities for improvement

  • Support prioritization efforts by providing data-driven insights and recommendations

  • Ensure timely and accurate communication of portfolio health, status updates, and key metrics

  • Drive standardization of analytics processes, reporting methods, and data definitions across the organization

  • Collaborate with cross-functional teams to improve operational alignment and decision-making

  • Support ad hoc analysis and executive-level reporting as needed

BasicQualifications (Required Skills/Experience):

  • 10+ years of experience collecting, organizing, synthesizing and analyzing data

  • 10+ years of experience with digital dashboard and/or metric development

  • 10+ years of experience monitoring project control systems

  • Experience with data analytics platforms, reporting tools, and data visualization (SQL, Tableau, Python, Excel, or equivalent)

  • Experience in managing relationships with business leaders and executives, leading complex portfolio of engagements, enabling leaders to make data-driven decisions

  • Experience do you have managing multiple competing priorities

  • Experience working with cross functional teams

  • Experience communicating with technical experts and explaining difficult technical concepts to non-technical business users

  • Experience translating data into actionable insights and recommendations

Preferred Qualifications (Desired Skills/Experience):

  • Bachelor's degree or higher in Data Analytics, Business, Information Systems, Operations, Engineering, or a related field

  • Experience supporting enterprise portfolio management, program management, or PMO functions

  • Experience with project lifecycle tracking, resource planning, and performance measurement

  • Experience working in a classified, security-focused, or highly regulated environment

  • Experience creating executive-level reports and strategic presentations

  • Strong understanding of KPI development, trend analysis, and data governance practices

  • Experience working with cross-functional stakeholders and senior leadership

  • Advanced proficiency in analytics tools, database querying, or automation tools such as SQL, Python, or similar

  • Ability to translate complex data into actionable business recommendations

  • Knowledge of continuous improvement methodologies or operational excellence frameworks

  • Strong analytical and problem-solving skills

  • Strong written and verbal communication skills

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $161,500 - $233,450

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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