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Entry Level Data Analyst Reddit Jobs (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Mid-Level Data Analyst

Newark, NJ · On-site

$40K - $60K/yr

Entry-Level Data AnalystCawley & Bergmann, LLCNewark, NJFull-Time | On-SiteSalary: $40,000-$60,000 ... Professional data analyst experience is not required. We're looking for someone who is analytical ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an entry-level Data Analyst to support enterprise asset data management initiatives. This role will focus on ...

$60 - $80/hr

The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a ...

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Entry Level Data Analyst Reddit information

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

As of Sep 9, 2026, the average hourly pay for entry level data analyst reddit in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What does an entry level data analyst at Reddit do?

An Entry Level Data Analyst on Reddit is responsible for gathering, organizing, and analyzing data to help inform decisions and optimize user experiences on the platform. They work with large datasets to identify trends, create reports, and support various teams by providing actionable insights. Common tasks include cleaning data, building dashboards, and assisting with data-driven projects. This role often requires proficiency in tools like Excel, SQL, and sometimes Python or R, as well as strong analytical and communication skills.

What are the key skills and qualifications needed to thrive as an entry level data analyst?

To succeed as an Entry Level Data Analyst, you typically need a solid understanding of statistics, data interpretation, and proficiency with Excel, often supported by a degree in a quantitative field. Familiarity with analytical tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is commonly expected. Strong problem-solving, attention to detail, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and actionable insights for business decision-making.

What are some common challenges entry level data analysts at Reddit might face when working with large datasets?

Entry Level Data Analysts at Reddit often encounter challenges such as cleaning and organizing large, unstructured datasets, which can be time-consuming and require strong attention to detail. They may also need to learn Reddit-specific data tools and adapt to rapidly changing project requirements in a fast-paced tech environment. Collaboration with engineers, product managers, and other analysts is frequent, so developing strong communication skills is essential for effectively sharing insights and recommendations.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; basic SQL and Excel skillsBachelor's or higher in Data Science, Computer Science, or related; knowledge of programming languages like Python or R
Work EnvironmentOffice or remote; focus on data reporting and visualizationOffice or remote; involves advanced modeling and machine learning
Employer & Industry UsageBusiness, finance, marketing; entry-level roles in various industriesTech, finance, healthcare; more specialized roles requiring technical skills

Entry Level Data Analysts typically handle data reporting, cleaning, and visualization with basic tools, while Data Scientists work on complex modeling and predictive analytics using advanced programming. The roles differ mainly in technical depth and scope, but both are essential in data-driven organizations.

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Infographic showing various Entry Level Data Analyst Reddit job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry-Level Data Analyst

Dallas, TX • On-site

Dhalite Inc.
11 - 50 employees

Other

Posted 14 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets