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Senior Insurance Data Analytics Jobs in Indiana (NOW HIRING)

Allegion

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

... Global Data & Analytics Team, owning the design and implementation of data ingestion ... Health, dental and vision insurance coverage, helping you "be safe, be healthy". * A commitment to ...

Allegion

Senior Data Platform Engineer

Carmel, IN

$67.25 - $89.75/hr

... Global Data & Analytics Team, owning the design and implementation of data ingestion ... Health, dental and vision insurance coverage, helping you "be safe, be healthy". * A commitment to ...

Accenture

Data Protection Sr. Analyst

Indianapolis, IN · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

Design, develop, update, and integrate high-quality, data analytics solutions based on client ... insurance on day one, and 401(k) with company match. This position is not open to candidates ...

CSAA

... data-informed direction. In this role, you will proactively identify emerging trends, risks, and ... Reviews and guides work performed by less senior analysts , delegating components of analysis ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Deloitte

Insurance Tech Senior Manager

Indianapolis, IN · On-site

$108K - $149K/yr

We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI ... Work you'll do As a Senior Manager on the Insurance Solutions team, you will be responsible for ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

blueStone

Sr. Business Analyst

Indianapolis, IN · On-site

$88K - $114K/yr

The Sr. Business Analyst will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be ...

Motorola

Data Analytics & Reporting: Gather, analyze, and interpret performance data, including financials ... for senior leaders. * Data Proficiency: Proficient in Business Intelligence (BI) tools such as ...

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Senior Insurance Data Analytics information

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

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
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 are popular job titles related to Senior Insurance Data Analytics jobs in Indiana? For Senior Insurance Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Insurance Data Analytics jobs in Indiana look for? The top searched job categories for Senior Insurance Data Analytics jobs in Indiana are:
Senior Insurance Data Analytics jobs near you
Senior Data Platform Engineer

Senior Data Platform Engineer

Allegion

Carmel, IN • On-site

$67.25 - $89.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Allegion rating

8.0

Company rating: 8.0 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

133rd of 518 rated manufacturers

Job description

Creating Peace of Mind by Pioneering Safety and Security
At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world.
Senior Data Platform Engineer
This position serves as the senior technical expert for Data Hub processes within the Global Data & Analytics Team, owning the design and implementation of data ingestion, transformation, and transmission workflows for the Operational Data Hub. The Senior Data Platform Engineer is the go-to authority for Data Hub architecture and processes, while actively contributing technical expertise to enterprise data structure design in partnership with the Data Architect. This role mentors mid-level engineers, collaborates with Lead Engineers and cross-functional stakeholders, and balances deep technical expertise (80%) with informal leadership and mentorship (20%).
Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.
What You Will Do:
  • Own and architect Data Hub processes and workflows, including data ingestion pipelines, transformation logic, transmission patterns, and integration orchestration.
  • Design and implement sophisticated data pipeline architectures from various ERP and source systems, establishing patterns and best practices for the Data Hub.
  • Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements.
  • Define Data Hub technical standards and patterns for pipeline development, error handling, monitoring, and operational workflows.
  • Collaborate with the Data Architect to ensure alignment between Data Hub processes and enterprise data models, providing input on how data structures impact processing efficiency.
  • Lead technical design sessions for Data Hub initiatives, making architectural decisions on ingestion patterns, transformation approaches, and integration strategies.
  • Contribute technical expertise to data structure discussions, advising on pipeline performance implications, transformation complexity, and operational considerations.
  • Provide technical mentorship to mid-level Data Platform Engineers on Data Hub architecture, patterns, and implementation best practices.
  • Drive complex problem-solving for Data Hub operational issues, including performance optimization, pipeline troubleshooting, and root cause analysis.
  • Implement advanced transformation and enrichment frameworks that leverage enterprise data structures designed by the Data Architect.
  • Own end-to-end architecture of Data Hub components, including serverless compute, orchestration, monitoring, and operational tooling.
  • Evaluate and prototype emerging technologies for Data Hub capabilities, providing recommendations on tools and platforms for data processing.
  • Establish data quality frameworks for Data Hub processes, implementing validation, testing, and monitoring strategies in collaboration with the Data Architect.
  • Design and implement Data Hub governance controls, including security, compliance, and operational best practices for data processing workflows.
  • Optimize Data Hub performance and cloud resource utilization, identifying opportunities for efficiency improvements and cost savings.
  • Document Data Hub architectures and technical patterns comprehensively, creating runbooks, design guides, and knowledge base articles.
  • Participate in on-call rotation for Data Hub production support, leading incident resolution and conducting technical post-mortems.

What You Need to Succeed:
  • 5-7 years of experience designing and implementing data hub solutions, operational data platforms, or similar data processing architectures.
  • Expert-level experience owning data pipeline architectures, including event-driven patterns, real-time processing, and batch workflows.
  • Advanced expertise architecting serverless solutions with Azure Function Apps or equivalent compute services for data processing at scale.
  • Deep experience with data hub processes including ingestion patterns, transformation frameworks, orchestration, and operational monitoring.
  • Advanced experience designing and optimizing Azure SQL Databases or similar platforms for operational data storage within hub architectures.
  • Expert SQL skills with proven ability to optimize queries, design efficient processing logic, and contribute to data modeling discussions.
  • Strong understanding of enterprise data architecture principles, with ability to contribute technical expertise to data structure and modeling decisions.
  • Proven ability to collaborate with Data Architects, providing Data Hub process perspective on data structure designs and enterprise models.
  • Demonstrated expertise in data integration patterns involving ERP systems, APIs, and enterprise application data flows.
  • Experience with Azure Data Lake, Azure Synapse Analytics, or similar platforms, understanding how Data Hub processes interact with enterprise data layers.
  • Proven track record of owning complex Data Hub architectures and delivering technical solutions independently.
  • Strong mentorship capabilities with experience guiding engineers on Data Hub patterns, pipeline development, and operational best practices.
  • Excellent problem-solving skills for Data Hub operational challenges, including performance tuning, troubleshooting, and reliability improvements.
  • Experience with CI/CD pipelines and Infrastructure as Code for automating Data Hub deployments and configuration management.
  • Strong understanding of data security and compliance requirements, implementing controls within Data Hub processes.
  • Excellent technical communication skills to collaborate with Data Architects, document architectures, and explain Data Hub technical tradeoffs.
  • Experience contributing to architectural discussions across data structures and processes, providing balanced technical perspectives.
  • Self-motivated with strong organizational skills, able to own Data Hub initiatives while contributing to broader architectural decisions.
  • Deep experience with DataOps/DevOps practices, including monitoring, logging, observability, and operational excellence for data systems.
  • Knowledge of cloud cost optimization for data processing workloads and efficient resource utilization.
  • Bachelor's degree in computer science, Information Technology, Engineering, or related technical discipline, or equivalent practical experience.

Why Work for Us?
Allegion is a Great Place to Grow your Career if:
  • You're seeking a rewarding opportunity that allows you to truly help others. With thousands of employees and customers around the world, there's plenty of room to make an impact. As our values state, "this is your business, run with it".
  • You're looking for a company that will invest in your professional development. As we grow, we want you to grow with us.
  • You want a culture that promotes work-life balance. Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!
  • You want to work for an award-winning company that invests in its people. Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.

What You'll Get from Us:
  • Health, dental and vision insurance coverage, helping you "be safe, be healthy".
  • A commitment to your future with a 401K plan, offering a 6% company match and no vesting period
  • Tuition Reimbursement
  • Unlimited PTO
  • Employee Discounts through Perks at Work
  • Community involvement and opportunities to give back so you can "serve others, not yourself"
  • Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching

Apply Today!
Join our team of experts today and help us make tomorrow's world a safer place!
Not sure if your experience perfectly aligns with the role? Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification and every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you're excited about this role but your past experience doesn't align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role.
We Celebrate Who We Are!
Allegion is committed to building and maintaining a diverse and inclusive workplace. Together, we embrace all differences and similarities among colleagues, as well as the differences and similarities within the relationships that we foster with customers, suppliers and the communities where we live and work. Whatever your background, experience, race, color, national origin, religion, age, gender, gender identity, disability status, sexual orientation, protected veteran status, or any other characteristic protected by law, we will make sure that you have every opportunity to impress us in your application and the opportunity to give your best at work, not because we're required to, but because it's the right thing to do. We are also committed to providing accommodations for persons with disabilities. If for any reason you cannot apply through our career site and require an accommodation or assistance, please contact our Talent Acquisition Team.
© Allegion plc, 2023 | Block D, Iveagh Court, Harcourt Road, Dublin 2, Co. Dublin, Ireland
REGISTERED IN IRELAND WITH LIMITED LIABILITY REGISTERED NUMBER 527370
Allegion is an equal opportunity and affirmative action employer
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