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Assistant Analytics Developer Jobs in Illinois (NOW HIRING)

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... May lead or sub-lead the creation of integrated data views based on business or analytics ...

Cna

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... May lead or sub-lead the creation of integrated data views based on business or analytics ...

Cna

Principal AI Engineer

Chicago, IL · On-site

At CNA, we strive to create a culture in which people know they matter and are part of something ... Excellent analytical and problem-solving skills with the ability to evaluate build-vs-buy trade ...

Cna

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Productionize and operationalize AI solutions and advanced analytics in a DevOps/MLOpsenvironment ...

CNA

Principal AI Engineer

Chicago, IL · On-site

At CNA, we strive to create a culture in which people know they matter and are part of something ... Excellent analytical and problem-solving skills with the ability to evaluate build-vs-buy trade ...

CNA

Senior Security Engineer Platform AI Security

Chicago, IL · On-site

$118K - $161K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... In addition to implementation ownership, this role leads comparative vendor analysis and technology ...

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Productionize and operationalize AI solutions and advanced analytics in a DevOps/MLOps environment ...

Cna

Senior Security Engineer Platform AI Security

Chicago, IL · On-site

$118K - $161K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... In addition to implementation ownership, this role leads comparative vendor analysis and technology ...

SynergisticIT

Junior Data Analyst/Engineer

Chicago, IL · On-site

... Analytics Summit (Florida)-2023 All Positions are open for all visas and US citizens We at ... We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We want ...

CNA

Principal Data Engineer

Chicago, IL · On-site

At CNA, we strive to create a culture in which people know they matter and are part of something ... Leads the creation of integrated data views based on business or analytics requirements.

JJC Enterprises

Application Developer/Analyst

Campus, IL · On-site

$30.13 - $31.94/hr

Application Developer/Analyst POSITION TITLE:Application Developer/Analyst STATUS:Full time ... system. 7. Assist users with reporting requirements, applications development, training, and ...

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Strong analytical, problem-solving, and communication skills * Experience with SQL/NoSQL data ...

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Assistant Analytics Developer information

What jobs in the US pay 300,000 a year?

For an Assistant Analytics Developer, earning $300,000 annually is uncommon and typically requires senior-level experience, advanced skills in data analysis, programming, and possibly leadership roles. High-paying roles in analytics or data science often involve senior positions such as Lead Data Scientist or Analytics Director, which may include bonuses and stock options that contribute to total compensation. Most roles at this level demand extensive expertise, certifications, and a proven track record in delivering strategic insights.

What is the difference between Assistant Analytics Developer vs Data Analyst?

AspectAssistant Analytics DeveloperData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborates with developers and data teams; supports analytics projectsAnalyzes data sets; creates reports and visualizations
Employer & Industry UsageTech companies, finance, healthcare; entry to mid-level rolesBusiness, marketing, finance; widely used across industries

Assistant Analytics Developers focus on supporting analytics projects through coding and technical tasks, while Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require similar educational backgrounds and are common in various industries, but their core responsibilities differ in technical support versus data interpretation.

Is AI taking over analytics jobs?

Assistant Analytics Developers and related analytics roles are increasingly using AI tools to automate data processing and insights generation, but AI is generally seen as a complement rather than a replacement. Professionals in this field need skills in data analysis, programming, and AI tools to stay relevant as automation advances, making human expertise essential for interpreting complex data and making strategic decisions.

Is 40 too late for data science?

Age is not a barrier to becoming an Assistant Analytics Developer or entering data science, as skills and experience are more important. Many professionals successfully transition into data science later in their careers by learning programming languages like Python or R, gaining relevant certifications, and building portfolios. Continuous learning and practical experience are key regardless of age.

What does an analytics developer do?

An analytics developer designs, builds, and maintains data analysis tools and dashboards to help organizations interpret large datasets. They often work with programming languages like SQL, Python, or R, and use data visualization tools to present insights clearly. Their role supports data-driven decision-making and requires strong technical skills and understanding of data structures.
What are the most commonly searched types of Analytics Developer jobs in Illinois? The most popular types of Analytics Developer jobs in Illinois are:
What are popular job titles related to Assistant Analytics Developer jobs in Illinois? For Assistant Analytics Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Assistant Analytics Developer jobs in Illinois look for? The top searched job categories for Assistant Analytics Developer jobs in Illinois are:
What cities in Illinois are hiring for Assistant Analytics Developer jobs? Cities in Illinois with the most Assistant Analytics Developer job openings:
Assistant Analytics Developer jobs near you
Senior Data AI Engineer

Senior Data AI Engineer

CNA

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Posted 16 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.

  • Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting

  • Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling

  • Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)

  • Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design

  • Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.

  • Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers

  • Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services

  • This role is not focused on experimentation alone - it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability

  • May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.

  • May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

  • May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.

  • Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

  • Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

  • May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

  • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.

  • Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.

  • Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.

  • Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.

  • Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.

  • Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.

  • Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.

  • Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.

Education & Experience
  • Bachelor's degree with Master's preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

  • Typically 5+ years of experience in data, analytics or application development.

  • 2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

  • Experience using Agile methods preferred.

  • Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com

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