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Data Analyst No Experience Jobs (NOW HIRING)

Description The Analytical Data Services (ADS) division of Verisk's ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country's largest ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

NO C2C**** JD * Data Conditioning - identification of appropriate test data, conditioning of test ... Experience with tools like Tableau, Power BI. * Programming Languages: Familiarity with languages ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems ... This job has no supervisory responsibilities. Work Environment: The work environment ...

... needed) - Experience Required: 0-3 years in data analysis, business intelligence, or similar ... 3-5 weeks - No background check or drug screen required - Locals preferred due to onsite ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems ... This job has no supervisory responsibilities. Work Environment: The work environment ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Almost no one joins Harper for insurance; they join to build the company that replaces how it works ... Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling

Almost no one joins Harper for insurance; they join to build the company that replaces how it works ... Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling

We offer Highly Competitive Wages and a Generous Benefit Package!! (no waiting period - benefits ... Experience writing SQL queries against relational databases Preferred Experience * Familiarity with ...

Data Analyst Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

We offer Highly Competitive Wages and a Generous Benefit Package!! (no waiting period - benefits ... Experience writing SQL queries against relational databases Preferred Experience * Familiarity with ...

We offer Highly Competitive Wages and a Generous Benefit Package!! (no waiting period - benefits ... Experience writing SQL queries against relational databases Preferred Experience * Familiarity with ...

Data Analyst

Richmond, VA · On-site +1

$75K - $85K/yr

Data Analyst Apply now Job no: 5107843 Work type: Full-Time (Salaried) Location: Richmond (City ... Experience working with the public. Preferred qualifications: Experience working in a local ...

We offer Highly Competitive Wages and a Generous Benefit Package!! (no waiting period - benefits ... Experience writing SQL queries against relational databases Preferred Experience * Familiarity with ...

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

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Data Analyst No Experience information

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$34K

$82.6K

$136K

How much do data analyst no experience jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst no experience in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a data analyst do, and can I become one with no experience?

A data analyst collects, processes, and interprets data to help organizations make informed decisions. While many data analyst positions prefer candidates with experience, it is possible to start a career as a data analyst with no prior experience by learning relevant skills such as Excel, SQL, and data visualization tools, and by building a portfolio of projects. Entry-level roles or internships are great starting points, and many people transition into data analysis from other fields or after completing online courses and certifications.

What is the difference between Data Analyst No Experience vs Data Scientist?

AspectData Analyst No ExperienceData Scientist
Required CredentialsOften a bachelor's degree in related field; certifications like Microsoft Excel or SQL are commonTypically a master's degree or higher in data science, statistics, or related fields; advanced certifications
Work EnvironmentEntry-level roles in various industries, focusing on data collection, cleaning, and basic analysisMore advanced roles involving predictive modeling, machine learning, and complex data analysis
Employer & Industry UsageUsed across industries for reporting and basic analysisUsed in tech, finance, and research sectors for developing models and insights

In summary, Data Analyst No Experience roles are entry-level positions focusing on basic data tasks, while Data Scientists require advanced skills and education for complex analysis and modeling.

How to get into a data analyst with no experience?

To become a data analyst with no experience, focus on developing skills in Excel, SQL, and data visualization tools like Tableau or Power BI. Gaining certifications such as the Microsoft Data Analyst Associate or completing online courses can also improve your prospects and demonstrate your abilities to employers.

What are the key skills and qualifications needed to thrive as a Data Analyst with no experience, and why are they important?

To thrive as a Data Analyst with no experience, you need a solid understanding of statistics, data interpretation, and foundational knowledge of data analysis concepts, often supported by a relevant degree or coursework. Familiarity with tools like Microsoft Excel, SQL, and beginner-friendly data visualization platforms such as Tableau or Power BI is typically expected, and entry-level certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you translate data findings into actionable insights. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and valuable contributions to data-driven decision-making.

Is 40 too late for data science?

For a Data Analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, regardless of age. Continuous learning and building a strong portfolio can help overcome age-related concerns in the field.

What types of entry-level tasks can a Data Analyst with no prior experience expect to work on?

As a Data Analyst starting out with no prior experience, you can expect to handle foundational tasks such as cleaning and organizing raw data, generating basic reports, and assisting with simple data visualizations. You may also be asked to support senior analysts by gathering data from various sources and ensuring its accuracy. These responsibilities help you build core analytical skills and familiarize yourself with industry-standard tools while learning how to translate data into actionable insights for your team.

What Does a Data Analyst With No Experience Do?

As a data analyst with no experience, you can find entry-level roles with many organizations. In this job, you may conduct an analysis to identify trends within an industry, evaluate the findings, and produce reports for your employer. Many aspects of this job vary with the company, including the tools you use and the types of data you may be asked to analyze. For example, analyzing the results of medication currently undergoing clinical trials is different from analyzing market trends. Data analysts can work in a wide variety of industries, so it is usually possible to find a position dealing with data in which you have an interest.

Will AI replace data analysts?

AI tools can automate routine data processing and 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 and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace data analysts.

Can you work as a data analyst without experience?

Entry-level data analyst positions often do not require prior experience and focus on skills such as Excel, SQL, and data visualization tools. Candidates can improve their chances by completing relevant certifications or training programs to demonstrate their abilities.
What cities are hiring for Data Analyst No Experience jobs? Cities with the most Data Analyst No Experience job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Data Analyst No Experience jobs? States with the most job openings for Data Analyst No Experience jobs include:
Infographic showing various Data Analyst No Experience job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 3 days ago


Job description

Description

The Analytical Data Services (ADS) division of Verisk’s ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country’s largest database of P&C policy and claims information can effectively support the analytical engines underlying the pricing of the US P&C insurance market. 

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion, data integration, data transformation, data analysis, and BI development. 
We are committed to improving the data & analytics platform supporting a host of products the US P&C industry relies on. We can’t wait for you to join us! 

Responsibilities

You will serve as subject matter expert for all data and related information for several insurance carriers across multiple lines of business. You will collaborate with other data analysts and stakeholders to understand and explain industry trends and develop expertise across our product portfolio. Additionally, you will have the opportunity to develop new tools and services to support our global operations. You will be expected to manage stakeholder expectations across multiple deliverables. You will be expected to develop expertise in multiple lines of business, AGILE project management, and advanced analytics using SQL on our cloud data warehouse, being at the forefront of data analytics for the P&C industry. Your responsibilities include:

•    Delivering quarterly data reviews on schedule: identify trends, anomalies, emerging patterns, and quality issues for multiple carriers, across multiple lines of business, using our analytics platform.
•    Be responsible for the relationship with multiple carriers, advancing the value proposition of our data service to increase the volume of usable data contributed to us.
•    Collaborate with, and present to, internal stakeholders to ensure widespread access to and understanding of our core data assets, as well as emerging industry trends.
•    Utilize your understanding of data analysis, data science, and data governance to develop automated and efficient ways to improve data quality and error detection. 
•    Develop in-depth understanding of insurance coverages, actuarial concepts, analytic models, information quality control, and data governance

Qualifications

•    Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics).
•    2+ years of professional experience in data analytics.  Insurance industry specific experience is preferred.
•    Working knowledge of data analytics, ETL processes, and database management systems. Proficiency with SQL, Business Intelligence tools, and Microsoft Office.
•    Clear and concise communication skills, both verbal and written, as well as comfort leading customer meetings and internal presentations.
•    A strong desire to drive societal change using data, technology, and analytics.
•    Ability to work independently and as part of a team while working on several concurrent projects.
•    Actuarial exam progress is a plus.
You will be part of a culture that celebrates success, recognizes and rewards achievements and excellence, and provides personal and professional enrichment opportunities.

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