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Entry Level Cloud Data Analyst Jobs (NOW HIRING)

Dave & Buster's, Inc.

Data Analyst

Coppell, TX · On-site

Familiarity with Databricks, cloud data platforms, and modern analytics architectures preferred. * Experience with Python, R, or other analytical tools is a plus. Competencies * Strong analytical and ...

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... This entry-level role combines metadata expertise with developing technical skills in scripting ...

Kunai

Senior Cloud Data Engineer

$108K - $147K/yr

AWS Certified Data Analytics Specialty or Database Specialty * * Google Professional Cloud Architect or Cloud Data Engineer

OpenDataJobs

Data Analyst Role

Washington, DC · On-site

The work Data Analysts make operational data answerable. They work with stakeholders to define ... semantic-modeling languages, cloud data warehouses, statistical tools, source systems ...

OpenDataJobs

Data Analyst Role

Washington, DC · On-site

The work Data Analysts make operational data answerable. They work with stakeholders to define ... semantic-modeling languages, cloud data warehouses, statistical tools, source systems ...

Navitas Semiconductor

Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring robust data structures to support all analytics and reporting needs. * Pipeline Automation: Architect and automate data ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

$90 - $130/hr

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

Hunter Strategy

Data Analyst

$60K - $70K/yr

... cloud operations, and cyber risk management solutions. Hunter Strategy was founded on the premise ... Salary Range: $60,000 - $70,000 Annually ABOUT THE ROLE As an entry-level Data Analyst, you will ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in ...

Variyasinc

Data Analyst

Virginia, MN · On-site

$65 - $85/hr

Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.

New

Programmers.io

Data Analyst

Tampa, FL · On-site

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle Key Responsibilities * The ...

Omni Hotels & Resorts

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Drive advanced analytics through the integration of Knowledge Graphs, Ontology, and AI Agents using Fabric Data Agents or AI Foundry. * Work with technical staff such as data analyst/scientist to ...

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

Globe Life Inc.

Data Analyst I (Remote)

Cheyenne, WY · On-site +1

Data Analyst I (Remote) Primary Duties & Responsibilities At Globe Life, we are committed to ... Use cloud-based data platforms and datasets according to governance standards, following documented ...

New

1872 Consulting

Data Analyst

Chicago, IL · Hybrid

Data AnalystChicago or Dallas - WFH 2 days/week (onsite 3 days/week)As a Data Analyst, you'll focus ... cloud-based DWs, such as SnowflakeExperience working in Agile environments

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

As of Sep 5, 2026, the average hourly pay for entry level cloud data analyst 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 is an entry level cloud data analyst?

Entry level cloud data analysts are professionals who assist organizations in collecting, processing, and analyzing data stored on cloud platforms. They use tools and technologies such as SQL, Python, and cloud services like AWS, Google Cloud, or Azure to generate insights that support business decisions. Their responsibilities often include data cleaning, report generation, and creating visualizations, all while learning to optimize workflows in the cloud environment. These roles are ideal for recent graduates or individuals transitioning into cloud and data analytics fields, offering opportunities to build foundational skills and grow within the industry.

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

To thrive as an Entry Level Cloud Data Analyst, you need a solid understanding of data analysis fundamentals, basic programming skills (often in Python or SQL), and familiarity with cloud platforms, typically supported by a relevant degree or coursework. Experience with tools like AWS, Azure, Google Cloud, and data visualization software such as Tableau or Power BI, as well as entry-level certifications like AWS Certified Cloud Practitioner, are commonly expected. Analytical thinking, problem-solving, and strong communication skills help you interpret data and collaborate with technical and non-technical teams. These skills are crucial for turning complex cloud-based data into actionable insights that drive business decisions.

How does an entry level cloud data analyst typically collaborate with other teams within an organization?

As an Entry Level Cloud Data Analyst, you'll frequently work alongside data engineers, software developers, and business analysts to ensure data is properly collected, stored, and interpreted in cloud environments. Collaboration often involves participating in meetings to discuss data requirements, sharing findings with business stakeholders, and assisting in building dashboards or reports. Effective communication and teamwork are key, as you'll be translating technical data insights into actionable information for non-technical team members. You may also support senior analysts in troubleshooting data pipeline issues and optimizing cloud-based data solutions.

What is the difference between Entry Level Cloud Data Analyst vs Cloud Data Engineer?

AspectEntry Level Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; basic knowledge of cloud platformsBachelor's or higher in Computer Science, Software Engineering; certifications like AWS or Azure
Work EnvironmentData analysis teams, cloud platforms, reporting toolsData infrastructure, cloud architecture, data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retailCloud service providers, large enterprises, tech firms
Common Search & ComparisonYesYes

The Entry Level Cloud Data Analyst focuses on interpreting data, creating reports, and supporting decision-making using cloud tools. In contrast, a Cloud Data Engineer designs and maintains data pipelines and infrastructure on cloud platforms. While both roles work within cloud environments, analysts primarily analyze data, whereas engineers build and optimize data systems.

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Entry Level Cloud Data Analyst jobs near you
Infographic showing various Entry Level Cloud Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst

Dave & Buster's, Inc.

Coppell, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Dave & Buster's rating

5.7

Company rating: 5.7 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

54th of 89 rated restaurants

Job description

Job Description:
At Dave & Buster's, we are transforming how data drives decision-making across the enterprise. The Data Analyst serves as a key partner to business and technology teams by converting complex data into actionable insights while supporting enterprise reporting, data governance, business analysis, and strategic initiatives. This role is responsible for analyzing business performance, defining and documenting data requirements, improving data quality, and delivering trusted reporting solutions that enable operational excellence and informed decision-making across the organization. The position will work closely with business stakeholders, Data Engineering, Data Architecture, and delivery teams to support enterprise data modernization initiatives, including our Unity Catalog and data platform transformation efforts. This description aligns with responsibilities commonly found across Dave & Buster's analyst roles emphasizing data analysis, reporting, business partnership, and cross-functional collaboration.
Essential Duties and Responsibilities
  • Conduct ad hoc analyses to support operational, financial, and strategic business decisions.
  • Analyze business performance and identify trends, opportunities, risks, and recommendations for improvement.
  • Develop SQL queries, datasets, data models, and analytical solutions that enable self-service reporting and executive decision-making.
  • Create dashboards, scorecards, reports, visualizations, and KPI tracking solutions using enterprise reporting platforms.
  • Partner with business stakeholders and Business Analysts to gather requirements, document business processes, and translate business needs into analytical and technical specifications.
  • Perform data profiling, reconciliation, validation, and root cause analysis to ensure accuracy and consistency of enterprise data.
  • Support enterprise data governance initiatives including business glossary development, metadata management, data stewardship, and KPI standardization.
  • Define and document business metrics, data definitions, transformation logic, and source-to-target mappings.
  • Collaborate with Data Engineering and Data Architecture teams to support enterprise data models, semantic models, reporting structures, and modernization initiatives.
  • Identify opportunities to improve reporting efficiency, automation, data accessibility, and analytical capabilities.
  • Ensure business users have timely, accurate, and trusted access to information needed for operational and strategic decision-making.
  • Assist with prioritization of analytics initiatives based on business value, strategic objectives, and organizational impact.
  • Present analytical findings, recommendations, and business insights to technical and non-technical audiences.
  • Support adoption of enterprise reporting and analytics solutions through training, documentation, and stakeholder engagement.
  • Foster a data-driven culture by promoting data literacy and consistent use of enterprise metrics and reporting standards.

Qualifications
Education
  • Bachelor's degree in Data Analytics, Information Systems, Business Administration, Finance, Computer Science, Statistics, or related field required.
  • Master's degree preferred.

Experience
  • 1, 2+ years of experience in data analytics, business intelligence, reporting, business analysis, or related analytical roles.
  • Experience gathering and documenting business and data requirements.
  • Experience developing dashboards, reports, and data visualizations for business stakeholders.
  • Experience supporting cross-functional initiatives involving both business and technology teams.
  • Experience working with enterprise data warehouses, modern analytics platforms, and large datasets.

Technical Skills
  • Advanced SQL development and data analysis skills.
  • Experience with Power BI, Tableau, or other modern BI and visualization platforms.
  • Understanding of dimensional modeling, semantic layers, and enterprise reporting concepts.
  • Knowledge of data governance, data quality management, metadata management, and master data principles.
  • Familiarity with Databricks, cloud data platforms, and modern analytics architectures preferred.
  • Experience with Python, R, or other analytical tools is a plus.

Competencies
  • Strong analytical and critical-thinking skills.
  • Ability to translate business questions into scalable analytical solutions.
  • Excellent communication and presentation skills.
  • Strong stakeholder management and relationship-building capabilities.
  • Detail-oriented with a commitment to data accuracy and quality.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Demonstrated problem-solving and continuous improvement mindset.
  • Ability to collaborate effectively across business and technology functions.

Success Measures
  • Delivers timely, actionable, and business-relevant insights.
  • Improves consistency, accuracy, and adoption of enterprise reporting solutions.
  • Increases trust in enterprise data through strong governance and validation practices.
  • Establishes clear and documented business definitions for key metrics and KPIs.
  • Develops scalable analytical assets that reduce manual reporting efforts.
  • Enables informed operational, financial, and strategic decision-making.
  • Strengthens collaboration between business stakeholders, Data Engineering, Architecture, and Technology teams.
  • Contributes to the successful execution of enterprise data modernization and governance initiatives.

WHAT'S IN IT FOR ME?:
Dave & Buster's / Main Event is an imaginative and dynamic company dedicated to creating innovative entertainment experiences that bring joy, laughter, and excitement to people of all ages. Our mission is to foster a culture of fun and creativity, and we take pride in our commitment to delivering memorable and unique entertainment solutions.
  • Exclusive discounts on food and games at D&B & Main Event.
  • Paid Time Off (PTO) that increases with tenure.
  • 11 Company Holidays (Including your Birthday) & 2 Floating Holidays per year.
  • Medical, dental, vision and voluntary benefits
    • Part Time/Full Time benefits available
    • Sub Benefits:
      • Livongo, SurgeryPlus, and Telehealth benefits
  • 401k with company match following 6 months of employment.
  • Buster's Legacy Fund (Support Team Members during difficult Times)
  • Employee Assistance Program (EAP) Offerings.
  • Work out facility on-site.
  • Employee Power Card | Free Video Games.

We work hard, play hard and have FUN!
Salary Range:
67000
90000
We are an equal opportunity employer and participate in E-Verify in states where required.

What Dave & Buster's employees say

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About Dave & Buster's

Sourced by ZipRecruiter

Dave & Buster's, based in Coppell, Texas, US, is a nationally renowned entity in the hospitality and events industry with a primary focus on providing a unique entertainment and dining experience. The company's official website is daveandbusters.com. They offer a wide array of products and services ranging from video arcade games and billiard tables to an extensive food and beverage menu. Founded in the 1980s, by David Corriveau and James "Buster" Corley, Dave & Buster's initially started as two separate establishments, a bar and an arcade, that eventually merged into one fun-filled entity

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Coppell, TX, US

Year founded

1982

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