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Entry Level Data Analyst Jobs in Moline, IL (NOW HIRING)

Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct. * Preparing case summaries, findings, and recommendations for ...

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.

... Mon-Friday. · Provides entry level sourcing, enterprise product delivery process (EPDP ... other data analyses. · Works with strategic sourcing to address chronic supplier performance ...

Providing entry-level sourcing and supply management support, including executing and enforcing ... Collecting and analyzing data using preset tools and methods; conducting complex analyses, quality ...

Providing entry-level sourcing and supply management support, including executing and enforcing ... Collecting and analyzing data using preset tools and methods; conducting complex analyses, quality ...

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Entry Level Data Analyst information

See Moline, IL salary details

$11

$29

$55

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

As of Jul 28, 2026, the average hourly pay for entry level data analyst in Moline, IL is $29.74, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $33.22 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.
What are the most commonly searched types of Data Analyst jobs in Moline, IL? The most popular types of Data Analyst jobs in Moline, IL are:
What are popular job titles related to Entry Level Data Analyst jobs in Moline, IL? For Entry Level Data Analyst jobs in Moline, IL, the most frequently searched job titles are:
What cities near Moline, IL are hiring for Entry Level Data Analyst jobs? Cities near Moline, IL with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Moline, IL as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $61,867 per year, or $29.7 per hour.
Expense Fraud Analyst

Expense Fraud Analyst

Deloitte

Davenport, IA

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


Job description

The Expense Fraud Analyst investigates expense and corporate card activity to identify policy violations, anomalies, and potential fraud indicators across Deloitte's expense environment. The ideal candidate brings strong financial analysis capabilities, sound judgment, and experience working with sensitive information in a fast-paced environment.

Recruiting for this role ends on 08/20/2026.

Work you'll do

As an Expense Fraud Analyst on the Global Finance Services team, you will be responsible for:

  • Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct.
  • Preparing case summaries, findings, and recommendations for stakeholders, including Talent, project leadership, Office of General Counsel, and firm leadership.
  • Managing multiple concurrent investigations, determining escalation paths, and supporting timely, consistent case resolution.
  • Protecting confidential and sensitive information, including personally identifiable information, while maintaining quality and professionalism in investigative work.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to provide clear guidance to others

The team

Global Finance Services (GFS) uses the latest technology and insights to provide Deloitte with a fully managed, global financial solution. We develop world-class processes that drive efficiency and effectiveness to ensure consistency and compliance across our global network.

Qualifications

Required:

  • Bachelor's degree in accounting, Business, Finance, or a related field
  • 2+ years of experience in audit, accounting, financial analysis, expense compliance, fraud review, or investigations
  • Experience analyzing financial transactions, supporting documentation, and data trends to identify exceptions, risk indicators, or policy non-compliance
  • Experience using Microsoft Excel, Microsoft Word, and Microsoft Outlook
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with expense compliance, fraud detection, forensic review, or internal investigations
  • Experience manipulating and analyzing large data sets in Microsoft Excel using formulas, VLOOKUPs, pivot tables, or macros
  • Experience with Analysis for Office, SAP, or HANA
  • Certified Fraud Examiner certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $63,000 to $105,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

The Expense Fraud Analyst investigates expense and corporate card activity to identify policy violations, anomalies, and potential fraud indicators across Deloitte's expense environment. The ideal candidate brings strong financial analysis capabilities, sound judgment, and experience working with sensitive information in a fast-paced environment.

Recruiting for this role ends on 08/20/2026.

Work you'll do

As an Expense Fraud Analyst on the Global Finance Services team, you will be responsible for:

  • Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct.
  • Preparing case summaries, findings, and recommendations for stakeholders, including Talent, project leadership, Office of General Counsel, and firm leadership.
  • Managing multiple concurrent investigations, determining escalation paths, and supporting timely, consistent case resolution.
  • Protecting confidential and sensitive information, including personally identifiable information, while maintaining quality and professionalism in investigative work.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to provide clear guidance to others

The team

Global Finance Services (GFS) uses the latest technology and insights to provide Deloitte with a fully managed, global financial solution. We develop world-class processes that drive efficiency and effectiveness to ensure consistency and compliance across our global network.

Qualifications

Required:

  • Bachelor's degree in accounting, Business, Finance, or a related field
  • 2+ years of experience in audit, accounting, financial analysis, expense compliance, fraud review, or investigations
  • Experience analyzing financial transactions, supporting documentation, and data trends to identify exceptions, risk indicators, or policy non-compliance
  • Experience using Microsoft Excel, Microsoft Word, and Microsoft Outlook
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with expense compliance, fraud detection, forensic review, or internal investigations
  • Experience manipulating and analyzing large data sets in Microsoft Excel using formulas, VLOOKUPs, pivot tables, or macros
  • Experience with Analysis for Office, SAP, or HANA
  • Certified Fraud Examiner certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $63,000 to $105,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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