
501 - 1000 employees
Founded 1968
🛡️ Insurance
Insurance
AIS Insurance is a company specializing in providing a range of insurance products and services. The company focuses on protecting individuals and businesses by offering tailored insurance solutions that meet their specific needs. AIS Insurance aims to deliver quality service and peace of mind through comprehensive coverage and expert guidance in navigating the insurance landscape.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $76.8k - $142.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
👻 Ghost score 0%
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 1968
🛡️ Insurance
Insurance
AIS Insurance is a company specializing in providing a range of insurance products and services. The company focuses on protecting individuals and businesses by offering tailored insurance solutions that meet their specific needs. AIS Insurance aims to deliver quality service and peace of mind through comprehensive coverage and expert guidance in navigating the insurance landscape.
• Provide data and reporting support to the Data Analyst Team Lead • Assist in identifying unprofitable risk segments and opportunities to reduce premium leakage across all lines of business • Perform data analysis and create reports to support data-informed business decisions • Support monitoring of underwriting production and goals • Generate on-demand reports and create standardized reporting templates • Ensure data accuracy and support the premium leakage initiative • Work with AIS leaders on process improvements, system changes, and innovative ideas • Define analysis needs and work within project plans covering business objectives, data scope, research methodology, resources, and timelines • Create, monitor, audit, and analyze recurring reports on CSR and Sales Agent productivity, system behavior, call handling, and AIS processes • Identify efficiency improvements and prepare reports, graphs, and charts • Coordinate and execute reporting and support AIS users and leaders in identifying data needed for reporting • Use MicroStrategy, Power BI, Winbroker II, Amazon Connect, Taske, and Mercury's Enterprise Data Warehouse • Assist in developing and administering current and future goals within AIS departments • Perform additional functions assigned by the Data Analyst Team Lead
• Bachelor’s degree; preferably in Business Administration, Mathematics, or Statistics • Coursework in statistics or business analytics • At least 3 years of insurance-related experience, preferably in an analytical role • SAS and SQL training • Or equivalent combination of education and experience • Proficiency in data analysis and reporting using Excel, SQL, and Power BI • Strong knowledge of VLOOKUP/XLOOKUP, pivot tables, charts, data sorting, and conditional formatting • Experience using Power BI or similar tools such as Tableau • Familiarity with DAX for Power BI or VisQL for Tableau • Knowledge of SQL, including inner and outer joins, lag/lead functions, case statements, and basic data modeling/design • Basic experience with UiPath or Power Automate • General understanding of the Property & Casualty Insurance industry, including Home, Auto, and Commercial product lines • Experience with underwriting practices, procedures, and premium and loss ratio analysis • Excellent written and verbal communication skills • Ability to produce quality work within tight timeframes and manage multiple projects • Self-starter able to learn new responsibilities and technologies • Ability to work a flexible schedule and travel as needed, including occasional overnight or weekend stays • Ability to adhere to privacy policies and securely handle sensitive data • Required to learn SQL, SAS, and potentially R coding if not already familiar • Designated workspace free from noise and distractions • Remote office internet connection via ISP or Cable Modem • High-speed internet access required
• Competitive compensation • Flexibility to work from anywhere in the United States for most positions • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) • Medical, dental, vision, life, and pet insurance • 401 (k) retirement savings plan with company match • Engaging work environment • Promotional opportunities • Education assistance • Professional and personal development opportunities • Company recognition program • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Apply Now🔥 13 hours ago
Senior Staff Engineer building dbt, Databricks, and Tableau analytics foundations for NationsBenefits’ healthcare fintech platform. Developing governed data products, semantic models, and automation for healthcare decision-making.
🇺🇸 United States – Remote
💰 Private Equity Round on 2022-04
⏰ Full Time
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
🔥 14 hours ago
Data Analyst managing healthcare claims, eligibility, and EDI file operations for Personify Health’s health platform. Troubleshooting data pipelines, SFTP exchanges, and ANSI 5010 transactions.
🔥 14 hours ago
Senior Healthcare Data Analyst transforming medical claims into canonical models for Machinify’s AI-powered healthcare intelligence platform. Driving payment integrity, data quality, and AI-assisted analytics.
🇺🇸 United States – Remote
💵 $140k - $170k / year
💰 $10M Series A - Machinify on 2018-10
⏰ Full Time
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
🔥 16 hours ago
Senior analytics analyst transforming hospital revenue-cycle data into actionable insights at R1. Building Power BI reports, data models, automation, and AI-powered reporting agents.
🇺🇸 United States – Remote
💵 $52k - $97.5k / year
💰 Private Equity Round on 2024-07
⏰ Full Time
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
🔥 17 hours ago
Data Analyst/Engineer building ETL pipelines, databases, and analytical solutions for Cayuse’s IRS compliance activities. Collaborating with government clients, data scientists, and software engineers.