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Data Analyst Python Sql Jobs in Cedar Rapids, IA

Emergent Software

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Proficiency in SQL and Python. * Experience working with structured, semi-structured, and unstructured data. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent ...

Emergent Staffing

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Proficiency in SQL and Python. * Experience working with structured, semi-structured, and unstructured data. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent ...

Centro, Inc

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Proficiency in SQL and Python for enterprise data processing and integration. * Experience working ... Strong analytical, organizational, and problem-solving skills. * Effective written and verbal ...

Varsity Tutors

Data Analysis Tutor

Iowa City, IA · Remote

$40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Varsity Tutors

Data Science Tutor

Iowa City, IA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Aegon

Int Payroll Integration Analyst

Cedar Rapids, IA · On-site

$60K - $68K/yr

Experience using SQL for data analysis * Experience troubleshooting system or data errors * Proficient with database tools such as DB2 or Microsoft SQL Server * Proficient with Microsoft Office ...

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Data Analyst Python Sql information

See Cedar Rapids, IA salary details

$33.3K

$80.9K

$133.1K

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

As of Sep 10, 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, 80% Full Time, 16% 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 Engineer

Cedar Rapids, IA • On-site

Emergent Software
Software Development • 11 - 50 employees
Learn more about Emergent Softwareexternal

$112K - $135K/yr

Other

Posted 29 days ago

Job description

**This is a direct hire, hybrid role for our client located in the Iowa City-Cedar Rapids metro. Eligible candidates are required in office for standing meetings each week. Candidates must be eligible to work in the United States without visa or sponsorship.**

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will build scalable data pipelines, improve data quality, and deliver reliable datasets that enable operational and strategic insights. Working closely with technical and business teams, the Data Engineer will transform complex data into actionable information that drives business performance. The ideal candidate is a problem-solver who enjoys working with large datasets, designing efficient data workflows, and continuously improving data reliability and performance.

Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines supporting enterprise reporting and analytics.
  • Integrate data from ERP, manufacturing, and business systems into centralized data platforms.
  • Build and manage scalable data workflows across extraction, transformation, and loading processes.
  • Develop and maintain data models, testing frameworks, and technical documentation.
  • Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues.
  • Collaborate with business stakeholders to understand data requirements and deliver scalable solutions.
  • Automate manual processes and improve data delivery efficiency.
  • Ensure data accuracy, consistency, security, and reliability across systems.
  • Stay current with emerging data engineering technologies and best practices.
Qualifications
  • Strong experience building and supporting production data pipelines.
  • Proficiency in SQL and Python.
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.
Nice to Haves
  • Experience in manufacturing, ERP, or operational data environments.
  • Experience with workflow orchestration tools such as Prefect or Apache Airflow.
  • Experience with CDC or incremental data processing strategies.
  • Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker.
  • Knowledge of modern data architecture and cloud analytics platforms.
Our Vetting Process

At Emergent Staffing, we work hard to find the data engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:

  1. Application (5 minutes)
  2. Online Assessment (40 minutes)
  3. Initial Video Interview (30-45 minutes)
  4. Client Phone Interview (30 minutes)
  5. Client On-site interview (60 minutes)
  6. Job Offer!
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