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Overnight Insurance Data Analytics Jobs in Indiana

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

... analytics initiatives * Architect scalable data solutions that handle growing volumes of insurance data while maintaining performance and reliability * Establish data quality frameworks and ...

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

Support the development of AIenabled and automated analytics capabilities * Leverage Industry data ... Knowledge of insurance, accounting and rate-making concepts. * Strong ability to independently ...

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Overnight Insurance Data Analytics information

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

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.

Is 40 too late for data science?

For an Overnight Insurance Data Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, and gaining relevant certifications. Age should not deter pursuing a data analytics career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst, including an Overnight Insurance Data Analytics professional, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools are used to enhance efficiency, but they do not fully replace the need for skilled analysts who understand business context and can communicate findings effectively.

Can a data analyst work at night?

A data analyst, including those working in insurance data analytics, can work night shifts if the employer offers overnight or flexible schedules. Some roles require 24/7 coverage or support for global operations, making night work possible, especially in environments with real-time data monitoring or client support. Skills in remote collaboration tools and time management are helpful for night shift work.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and insights that help improve underwriting, pricing, and fraud detection.
What are the most commonly searched types of Insurance Data Analytics jobs in Indiana? The most popular types of Insurance Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Overnight Insurance Data Analytics jobs? Cities in Indiana with the most Overnight Insurance Data Analytics job openings:
Data Coordination Analyst

Data Coordination Analyst

Maximus

Indianapolis, IN • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 292 frontline employees who took The Breakroom Quiz

248th of 442 rated business services


Job description

Description & Requirements

Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex business data into actionable insights that drive decision-making, operational efficiency, and continuous improvement. Working closely with leadership and cross-functional teams, you will analyze data from multiple sources, develop dashboards and reports, identify trends and anomalies, and support the design of innovative reporting and business intelligence solutions.

The ideal candidate combines strong analytical and technical skills with a passion for problem-solving and data storytelling. You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well suited for a detail-oriented professional with 3+ years of related experience who enjoys working with data, collaborating with stakeholders, and delivering insights that support mission-critical federal programs.

Essential Duties and Responsibilities:

  • Build and maintain dashboards, metrics, or reports and identify trends or anomalies.
  • Support new reporting functionality as well as the development and improvement of new reporting.
  • Design new data collection models to better collect information.
  • Consult with leadership to identify data sources, required data elements, or data validation standards.
  • Analyze data sets using statistical techniques. Communicate trends and patterns that enhance the opportunities to the business.
  • Generate reports with market trends past and present.
  • Understand business data needs and design business intelligence solutions to facilitate data gathering, storage, and retrieval.

Additional Duties and Responsibilities:

  • Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership.
  • Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed.
  • Writes queries or reports to provide data for various analytical projects.
  • Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.

Minimum Requirements

  • Bachelor's degree in related field.
  • 3+ years of related experience.
  • Analytical thinking skills.
  • Statistical knowledge and technical expertise.
  • Ability to meet deadlines.
  • Mathematical skills.
  • Project management skills.

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

56,000.00

Maximum Salary

$

80,370.00


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