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At Home Insurance Data Analytics Jobs in Iowa (NOW HIRING)

EMC Insurance Group, Inc.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

At EMC, we're all about working together to make an impact. As part of our team, you'll have the ... Balances and designs data analytics product solutions based on cost and performance to meet data ...

EQUITRUST

Senior Sales Data Analyst

West Des Moines, IA · On-site

$78K - $99K/yr

Data Analytics, Business Analytics, Data Science). Experience: * Bachelor's Degree: A minimum of 3 years of related work with insurance and annuity processes and systems required. Working with large ...

Right At Home

Home Health Aide

Cedar Rapids, IA · On-site

$18 - $20/hr

Dental insurance * Flexible schedule Right at Home is seeking dependable, compassionate Home Health Aides to provide companion and personal cares to our clients in Cedar Rapids and surrounding areas.

Right at Home

In-Home Caregiver

Cedar Rapids, IA · On-site

$18 - $20/hr

Dental insurance * Flexible schedule Right at Home is seeking dependable, compassionate In-Home Caregiver in Norway Iowa to provide companion and personal cares to our clients in Cedar Rapids and ...

Happier At Home

In-Home Care Provider

Adel, IA · On-site

$16 - $19/hr

Happier At Home; a local, family-owned company in Adel, IA, is looking to hire compassionate ... Must have own reliable transportation with insurance. * Criminal background and motor vehicle ...

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All JobsAt Home Insurance Data Analytics JobsAt Home Insurance Data Analytics Jobs in Iowa

At Home Insurance Data Analytics information

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 are the most commonly searched types of Insurance Data Analytics jobs in Iowa? The most popular types of Insurance Data Analytics jobs in Iowa are:
At Home Insurance Data Analytics jobs near you
Data Engineer III

Data Engineer III

EMC Insurance Group, Inc.

Des Moines, IA • On-site

$111K - $134K/yr

Full-time

Posted 23 days ago

EMC Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

9th of 277 rated insurance

Job description

At EMC, we're all about working together to make an impact. As part of our team, you'll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts-always supporting each other to do our best work. Join us, and let's improve lives together.
Essential Functions:
Develops, tests, and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team:
  • Investigates and analyzes feasibility of data integration prototypes and program requirements
  • Develops specifications and plans the full range of programming actions to produce data integration components
  • Develops and maintains complex automated ETL/ELT pipeline architecture that cleans, transforms, and aggregates data from disparate sources using architecturally approved tools, programming languages, and services to deliver a data mesh approach
  • Develops and maintains complex automated ETL/ELT monitoring and alarming solutions using architecturally approved languages and services
  • Monitors, troubleshoots, and optimizes data pipelines for quality, performance, and reliability creating a single source of truth providing business customers with highly reliable and quality data
  • Builds complex unit tests to enable test driven development and automation to drive code reliability
  • Develops, maintains, tests, and deploys code with architecturally approved toolsets using Dev Ops practices, ETL/ELT pipelines, data catalogs and data queries
  • Maintains data solutions in a divest state to ensure business functionality until replaced with new technology
  • Balances and designs data analytics product solutions based on cost and performance to meet data needs and business requirements
  • Guides business customers to develop, troubleshoot, and optimize complex SQL and ETL/ELT solutions to solve reporting, metrics, and analytics problems

Data analysis: Collaborates with cross-functional teams to understand data requirements for data analytics products and translate them into scalable and efficient data solutions:
  • Leads moderately complex projects or supports larger initiatives as part of a team
  • Partners with users and stakeholders to understand data needs and business requirements
  • Leads the team on conceptualizing and developing new data solutions to meet the business data needs and requirements
  • Researches, performs analysis, and proposes effective solutions related to system developments and enhancements through collaboration with Data Architecture
  • Analyzes and reviews potential adjustments or modifications for impacts on other programs
  • Leverages data governance, data security, and privacy principles to support data lineage and reference data needs
  • Collaborates with cross-functional teams to understand business and downstream application (BI reporting, Data Science, Data Governance, other System integrations) and consumer requirements to deliver data-driven solutions that implement best practices for data management, security, and governance

Data modeling:
  • Develops complex data objects for business analytics using data modeling techniques
  • Models front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
  • Works with stakeholders to understand complex business needs and translates them into a conceptual data model, defining entities, attributes, and relationships
  • Builds complex detailed logical models based on the conceptual model, specifying data types, constraints, and keys to ensure data integrity
  • Implements complex logical models into appropriate database management systems, considering database features, storage optimization, and performance considerations
  • Designs complex data pipelines to extract data from source systems, transform it as needed based on the data model, and load it into the target database

Documentation:
  • Participates in creating and maintaining documentation related to the design of applications and interfaces to enterprise and third-party systems in accordance with departmental and team standards
  • Collaborates with data governance on ensuring what is being produced in data analytics products enables data governance to publish a data asset
  • Collaborates with data governance to develop and maintain data analytic products, artifacts and user documentation for business customers
  • Works with business customers and software development teams to gather and document requirements for data publishing and data consumption via data mesh architecture
  • Maintains systems documentation

Education & Experience:
  • Bachelor's degree, preferably in a computer related field or equivalent relevant experience
  • Five years of data integration development experience, or related experience

Knowledge, Skills & Abilities:
  • Strong SQL knowledge and experience working with relational databases
  • Excellent analytical skills to work with unstructured datasets
  • Excellent knowledge of applicable programming languages, such as Python
  • Strong knowledge of cloud services such as RDS, S3, SNS, CloudWatch and Lambda
  • Strong knowledge of DBT/Informatica or other ETL/ELT tools preferred
  • Strong knowledge of Snowflake
  • Strong knowledge of data modeling
  • Excellent ability to build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Strong ability to manipulate, process and extract value from large, disconnected datasets
  • Strong knowledge of DevOps and/or DataOps practices, CI/CD pipelines, and containerization technologies preferred
  • Excellent knowledge of orchestration or scheduling tools
  • Excellent verbal and written communication skills
  • Strong attention to detail, organizational and multi-tasking skills with the ability to adapt to changing priorities
  • Ability to maintain confidentiality

The hiring salary range for this position will vary based on geographic location, falling within either of the following:
$92,670 - $128,045 or $102,443 - $140,845
A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs.
For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit www.emcins.com/careers
Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.
All of our locations are tobacco free including in company vehicles.

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