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Entry Level Data Analyst Jobs in Waterloo, IA (NOW HIRING)

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Entry Level Digital Marketer

Waterloo, IA · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Waterloo, IA

Entry Level Data Analyst information

See Waterloo, IA salary details

$13

$32

$60

How much do entry level data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level data analyst in Waterloo, IA is $32.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.25 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Waterloo, IA? The most popular types of Data Analyst jobs in Waterloo, IA are:
What cities near Waterloo, IA are hiring for Entry Level Data Analyst jobs? Cities near Waterloo, IA with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Waterloo, IA as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,532 per year, or $32.5 per hour.
Financial Analyst (Cost Accounting & FP&A)

Financial Analyst (Cost Accounting & FP&A)

W S DARLEY & CO

Janesville, IA

$55K - $65K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Description

W.S. Darley & Co. is a leading provider of mission-critical equipment and solutions supporting the U.S. Military and first responders worldwide. Our Iowa Operations division specializes in the design and manufacturing of fuel and water systems for the U.S. Department of Defense, as well as drop-in skid units and CAFS (Compressed Air Foam Systems) for the firefighting industry.

We are seeking a Financial Analyst (Cost Accounting & FP&A) to join our team in Janesville, IA. This role is ideal for a motivated early-career finance professional looking to gain hands-on experience in manufacturing finance, cost accounting, and operational analysis within a defense-focused production environment.  


Position Summary

The Financial Analyst will support plant-level cost accounting, operational reporting, and financial analysis activities. Working closely with senior finance leaders and operations teams, this role is responsible for maintaining accurate cost data, assisting with financial reporting routines, and developing foundational capabilities in forecasting, variance analysis, and manufacturing performance metrics.


This is an on-site position located in Janesville, IA.

Requirements

  

Cost Accounting & Operations Support

  • Assist in maintaining and analyzing standard costs, bills of materials (BOMs), and routing structures
  • Support monthly inventory valuation, cost roll-ups, and production variance analysis
  • Help monitor and reconcile labor, material, and overhead costs
  • Participate in physical inventory counts and cycle count processes

Financial Planning & Analysis (FP&A)

  • Assist with monthly, quarterly, and annual financial reporting
  • Support budgeting and forecasting processes for plant operations
  • Analyze variances vs. standard costs, budget, and prior periods
  • Prepare recurring and ad hoc reports on KPIs, production efficiency, and cost trends

Reporting & Data Management

  • Maintain accurate financial and operational data within ERP systems
  • Develop and improve reporting tools, dashboards, and data models
  • Support data validation, reconciliation, and continuous improvement efforts

Cross-Functional Collaboration

  • Work closely with operations, engineering, and supply chain teams to understand cost drivers
  • Support initiatives to improve cost visibility, margin performance, and operational efficiency
  • Learn and apply best practices in manufacturing finance and cost control


Required Qualifications

  • Bachelor's degree in Accounting, Finance, or related field
  • 1-3 years of experience in accounting, finance, or manufacturing environment (internship experience considered)
  • Strong proficiency in Microsoft Excel (formulas, pivot tables, data analysis)
  • Basic understanding of financial statements and cost accounting principles
  • Strong analytical, organizational, and problem-solving skills
  • Effective communication skills with ability to work cross-functionally


Preferred Qualifications

  •  Experience in a manufacturing or industrial environment
  • Familiarity with ERP systems (e.g., Epicor, SAP, Oracle, or similar)
  •  Exposure to standard costing, variance analysis, or inventory accounting
  • Interest in defense, industrial, or engineered product manufacturing


What You'll Gain

  • Hands-on experience in manufacturing cost accounting and plant finance
  • Exposure to defense and emergency response product lines
  • Mentorship from senior finance and operations leaders
  • Opportunities to develop skills in: 
  • Standard costing methodologies
  • Financial forecasting and planning
  • Operational performance analysis
  • Continuous improvement initiatives


Why W.S. Darley & Co.?

  • Stable, growing company supporting U.S. military and first responders
  • Collaborative, team-oriented manufacturing environment
  • Opportunity to build a strong foundation in operations-focused finance
  • Competitive compensation and benefits package


Benefits

  • PTO
  • Paid Holidays
  • Tuition Reimbursement
  • Health & Wellness Reimbursement
  • Medical
  • Dental
  • Vision
  • Life & Disability
  • HSA with Darley contribution
  • FSA
  • 401K/Roth with match and profit sharing
  • Darley paid life insurance

Compensation

55,000 to 65,000 annually 

AAP/EEO Statement

Darley is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law

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