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Data Analyst Python Sql Jobs in Cedar Rapids, IA

NISC

Intern - Data Engineer

Cedar Rapids, IA · Hybrid

Collaborate with software developers, data analysts, and product teams to understand data needs ... Familiarity with SQL and at least one programming language (e.g., Python, Java, or Scala)

Lantern

Strategy Analyst

Cedar Rapids, IA · Remote

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Lantern

Strategy Analyst

Iowa City, IA · Remote

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Lantern

Strategy Analyst

Iowa City, IA · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Lantern

Strategy Analyst

Cedar Rapids, IA · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

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Data Analyst Python Sql information

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$33.3K

$80.9K

$133.1K

How much do data analyst python sql jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analyst python sql in Cedar Rapids, IA is $80,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Cedar Rapids, IA look for?

The top searched job categories for Data Analyst Python Sql jobs in Cedar Rapids, IA are:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Cedar Rapids, IA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $80,896 per year, or $38.9 per hour.

Data Architect

Cedar Rapids, IA • On-site

GreatAmerica Financial Services
Finance and Insurance • 501 - 1,000 employees
Learn more about GreatAmerica Financial Servicesexternal

$62.50 - $80.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.
We are looking to add a Key Member to our Data Delivery Team!
The Data Architect is responsible for design and delivery of the organization's data infrastructure, including operational source systems, analytical platforms, data movement technology and architectural standards. This role balances technical excellence with business needs to deliver reliable, secure, and highly available solutions in a hybrid cloud environment. As a strategic technical leader, the Data Architect shapes enterprise-wide data architecture and guides long-term platform modernization initiatives. This role ensures that the data ecosystem supports scalability, governance, regulatory compliance, and advanced analytics capabilities, enabling the organization to use data as a strategic asset.
We're looking for a self-starting Data Architect who thrives both independently and, in a collaborative, team-based environment. This role is ideal for someone who isn't afraid to speak up, share perspectives, and actively drive meaningful discussions. The right candidate will be someone who can mentor others while remaining open to learning new things, who can see the long-term vision and help bring it to life. We value architects who view technical debt as an opportunity for improvement and innovation, and who make pragmatic, business first decisions.
GreatAmerica welcomes applications from candidates residing the following states, where we currently support employment and payroll operations: Arizona, Florida, Georgia, Iowa, Kansas, Michigan, Missouri, Nebraska, South Dakota, Tennessee, Texas, and Wisconsin.
As a Data Architect, you will:
  • Develop and maintain conceptual, logical, and physical data models.
  • Design scalable, end-to-end enterprise data architectures that support current and future business needs.
  • Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services.
  • Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems.
  • Integrate diverse data sources across the enterprise using standardized patterns and frameworks.
  • Establish, document, socialize, and enforce development, modeling, and architectural design standards.
  • Implement data quality metrics, monitoring capabilities, and issue resolution processes in partnership with Data Governance.
  • Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance.
  • Create and maintain clear documentation of architectural decisions, standards, and patterns.
  • Implement data protection strategies, including access controls and data privacy measures.
  • Ensure data architectures align with regulatory requirements and internal compliance standards.
  • Evaluate and recommend emerging technologies to improve data management and platform capabilities.
  • Architect and optimize cloud-native solutions leveraging Microsoft Azure services.
  • Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions.
  • Support scalability, performance tuning, and cost optimization of data platforms.
  • Build strong relationships with business and technical stakeholders to understand evolving needs and translate them into architectural solutions.
  • Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions.
  • Serve as a technical thought leader influencing multi-year data strategy and platform decisions.
  • Mentor team members and promote best practices across the data organization.
  • Partner with other architects to ensure enterprise alignment with data standards and architectural principles.

To be successful in the role, you will need:
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 7+ years of experience in data architecture, database design, or related roles.
  • In-depth knowledge of cloud-based data architectures, transactional and analytical systems, data modeling, data integration tools, and business intelligence concepts.
  • Experience with both SQL and NoSQL database technologies.
  • Proven experience designing and implementing enterprise-scale data warehouses and data lakes.
  • Demonstrated expertise with Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage
  • Experience with Salesforce data models and Salesforce Data Cloud preferred.
  • Experience leading modernization, migration, and cloud transformation initiatives.
  • Advanced SQL certifications and/or ITIL knowledge are a plus.

Skills and Abilities
  • Strategic thinking with the ability to drive enterprise-level architectural decisions.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills, with the ability to balance technical and business trade-offs.
  • Excellent collaboration and influence skills across technical and business teams.
  • Ability to navigate differing viewpoints and achieve consensus.
  • Adaptability to changing technologies, business priorities, and data needs.
  • Strong learning mindset, particularly around cloud, AI/ML, and emerging technologies.
  • Effective facilitation and consensus-building capabilities.

Computer Skills
  • Microsoft SQL Server (SSIS, SSAS, Service Broker)
  • Azure (Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure DevOps)
  • Databricks
  • Salesforce (Sales Cloud, Service Cloud, Data Cloud)
  • Python
  • Spark
  • dbt
  • Airflow
  • Informatica Cloud
  • Microsoft Office Suite

Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:
Financial Benefits
  • Competitive Compensation
  • Monthly Bonuses for Eligible Employees
  • 401(k) and Company Match
  • Annual Profit Sharing
  • Paid Time Off

Health, Wellbeing, and Family Planning Benefits
  • Paid Vacation - starting at 80 hours annually for employees in their first year of service.
  • Paid Sick Days - Ten (10) per year with a conversion option for unused time.
  • Ten (10) Paid Holidays per year
  • Gym Reimbursement
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Short-Term and Long Term Disability
  • Company Paid Life Insurance
  • Flexible Spending Accounts (FSA)
  • Health Savings Accounts (HSA)
  • Employee Assistance Program
  • Parental Leave

Education and Career Planning Benefits
  • Tuition Assistance
  • Networking Opportunities
  • Leadership Development Opportunities

Perks
  • Paid Parking
  • Service Awards
  • Hybrid work arrangements
  • Business casual environment
  • A strong organizational culture focused on our greatest asset: you!

If your experience aligns closely, please apply. We value diverse backgrounds and adding new perspectives. We encourage you to apply if you can make a strong impact in this role at www.greatamerica.com/careers.
Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

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