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Associate In Insurance Data Analytics Jobs in Dallas, TX

Data Analytics Senior Analyst

Irving, TX ยท On-site

$141K - $142K/yr

Gather business requirements from the business and design data flow in collaboration with data ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Ardurra is looking to hire a Data Analytics Manager to join our team in Dallas, TX! This position is open to remote applicants, preferably near major Ardurra offices. Ardurra is a multidisciplinary ...

Data Analytics Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

We build in many different verticals. Whether we are building schools to provide inspiring spaces ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Data Analytics Senior Analyst

Irving, TX ยท On-site

$141K - $142K/yr

Consult with users and clients to solve complex system issues through in-depth evaluation of ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Pharmacist - Data Analytics

Arlington, TX ยท On-site

$52.50 - $63/hr

This role enables associates to work virtually full-time, with the exception of required in-person ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

Pharmacist - Data Analytics

Arlington, TX

$52.50 - $63/hr

This role enables associates to work virtually full-time, with the exception of required in-person ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

... Data Analytics tooling (e.g. Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity ... Experience working with extremely large health care datasets * Demonstrated history of integrating ...

Prologis A day in the life As Program Director of Data & Analytics, you will help the organization ... insurance for employees and eligible dependents. Prologis also offers several other wellness ...

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Associate In Insurance Data Analytics information

See Dallas, TX salary details

$3.2K

$6.2K

$8.9K

How much do associate in insurance data analytics jobs pay per month?

As of Jul 14, 2026, the average monthly pay for associate in insurance data analytics in Dallas, TX is $6,222.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,650.00 and $6,633.33 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

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

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

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 and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
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Data Analytics Senior Analyst

Data Analytics Senior Analyst

Citigroup, Inc.

Irving, TX โ€ข On-site

$141K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Citibank, N.A. seeks a Data Analytics Senior Analyst for its Irving, Texas location.
Duties: Design and develop strategic solution plans for business functionalities and build dynamic and scalable data pipelines using Spark preprocessing framework. Gather business requirements from the business and design data flow in collaboration with data architects. Implement Exploratory Data Analysis (EDA), data standardization and transformation pre-processes using different techniques like OHE, and data scaling and normalization for machine learning modeling. Design and develop unit, integration, and stress tests to ensure application satisfies all requirements. Mine and analyze data from various banking platforms to drive optimization and improve data quality. Serve as the subject matter expert of applications development techniques and emerging technologies. Consult with business clients to determine the functional specifications, applying comprehensive understanding of how multiple areas in the system collectively integrate towards achieving the business goals. Address system issues raised by users and clients by evaluating the business processes and the systems, considering the industry standards, and recommending solutions. Deliver analytic initiatives to address various business problems with ability to identify the data required, estimate the time and effort needed, and establish a project plan. Lead the process of system change from requirements analysis through implementation, and provides necessary user and operational supports. Formulate and define systems scope and objectives for projects based on applicable business systems and industry standards. Design, develop and modify the database schema needed in order to ensure uninterrupted services of applications. Optimize data storage and retrieval using Hive, implementing partitioning and bucketing techniques to improve query performance on large datasets. Build a multi-dimensional visualization dashboard using Tableau to aid growth, geolocation and statistical analyses. Design end-to-end application, set deliverable milestones, build JIRA stories, and breakdown the milestones into individual tasks. Conduct code review, set forth coding standards, and implement standard CI/CD processes. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master's degree, or foreign equivalent, in Information Systems, Information Technology, Electronic Engineering, Business Analytics, or related field and 3 years of experience as an Applications Support Intermediate Analyst, Data Analytics Senior Analyst, Business Analyst, or related position involving data solutions design and development for a global financial services industry. Alternatively, employer will accept a Bachelor's degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience. Full term of experience must include: Visualization dashboard building using Tableau in support of data analysis; Automation development and batch jobs scheduling; Autosys, SQL, DATABASE, JIRA; Tableau, Excel, PowerBI; and Pyspark, Hadoop, Hive, python, scripting, MongoDB. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26966786. EO Employer.
Wage Range: $141,773 to $142,000
Job Family Group: Technology
Job Family: Data Analytics
Job Family Group:
Job Family:
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.