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Senior Data Analyst Jobs in Iowa (NOW HIRING)

Mom's Meals

Sr Data Analyst

Ankeny, IA · On-site +1

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and ...

Mom's Meals

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and ...

Kemper

Senior Data Systems Analyst

Des Moines, IA · On-site

$83K - $105K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

NCMIC

Data Analyst III

Clive, IA

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

NCMIC

Data Analyst III

Clive, IA · On-site

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical ...

DSI

Financial Data Analyst

Urbandale, IA · On-site

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

DSI

Financial Data Analyst

Urbandale, IA

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

DSI

Financial Data Analyst

Urbandale, IA · On-site

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Iowa

Senior Data Analyst information

See Iowa salary details

$51.7K

$93.2K

$127.3K

How much do senior data analyst jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior data analyst in Iowa is $93,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $101,900.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Iowa? The most popular types of Data Analyst jobs in Iowa are:
What are popular job titles related to Senior Data Analyst jobs in Iowa? For Senior Data Analyst jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Iowa look for? The top searched job categories for Senior Data Analyst jobs in Iowa are:
What cities in Iowa are hiring for Senior Data Analyst jobs? Cities in Iowa with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Iowa as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $93,204 per year, or $44.8 per hour.

Sr Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Mom's Meals rating

6.1

Company rating: 6.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 24 rated food delivery companies

Job description

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote the advancement of analytics across our organization. You will independently partner with executive stakeholders on challenging data problems, support BI infrastructure, develop scalable data assets, and conduct exploratory analyses that create new value.
Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you.
The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities.
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Salary range: $85,000-90,000 plus 10% bonus
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Support Power BI administration, including workspace governance, access management, deployment practices, and platform standards.
  • Architect and publish trusted Power BI datasets, semantic models, and dashboards using DAX and Power Query, applying development standards that improve usability, adoption, and long-term maintainability.
  • Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices.
  • Stay current with emerging analytics methodologies, technologies, and capabilities.
  • Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
  • Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
  • Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis.
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses.
  • Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations.
  • Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
  • Define and monitor KPIs tying operational reporting directly to business objectives.

Required Skills and Experience
  • 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
  • 2+ years administering a Power BI or Microsoft Fabric environment, including workspace governance, permissions, deployment practices, and user support.
  • Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
  • Microsoft Fabric and Power BI: data modeling, DAX, Power Query, semantic models, calculation groups, deployment pipelines, and workspace governance.
  • Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development.
  • Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
  • Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
  • Versioning and Reproducibility: Git-based workflows; disciplined documentation, and peer review
  • Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models.
  • Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making.
  • Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
  • Product mindset: understand and define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions

Preferred Skills and Experience
  • Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
  • Familiarity with data governance tools and compliance standards
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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