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Online Data Analyst Jobs (NOW HIRING)

Home Depot

Online Data Engineer Manager

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... They create new data validation methods and data analysis tools. Data Engineers develop application ...

LSU AgCenter

Data Analyst

Alexandria, VA · On-site

Develop dashboards and other online data tools to enhance data accessibility across university stakeholders. QUALIFICATIONS: * Bachelor's degree in Computer Science, Decision Science/Analytics ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

PitchBook Data

Data Analyst

New York, NY · On-site

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights into a fascinating industry and power our industry leading private equity, M&A, venture capital ...

MIT RESOURCE

Data Analyst

San Francisco, CA

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties ... Strategizing with business partners on email and online marketing offer campaign concepts Gathering ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position Overview The Data Analyst supports the development of dashboards, reports, data visualizations, and analytical products that enable data-driven decision-making across Coast Guard missions.

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position Overview The Data Analyst supports the development of dashboards, reports, data visualizations, and analytical products that enable data-driven decision-making across Coast Guard missions.

Home Depot

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and ... the Online Contact Centers), Customer Care, Merchandising, Supply Chain, PRO, Services, Legal ...

Centraprise

Data Analyst

Santa Clara, CA · On-site

Qualifications Experience in a Data Analyst, Business Intelligence, or similar quantitative role ... We respect your online privacy. If you would like to be removed from our mailing list please reply ...

Verisk Analytics

Data Analyst

Jersey City, NJ · Hybrid

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 ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... website and online presence, and our multi-channel marketing campaigns and launches.

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

Use sophisticated data analysis methods to support project team in creating deliverable for client ... Online Dashboards (e.g. Tableau, PowerBI, Sisense) * Expert level skills in the development of ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

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Online Data Analyst information

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$34K

$82.6K

$136K

How much do online data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for online data analyst 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.

Can I work online as a data analyst?

Yes, online data analyst roles are common and involve analyzing data sets, creating reports, and using tools like Excel, SQL, or Python. These positions often require strong analytical skills and may offer flexible schedules, making remote work a viable option for qualified candidates.

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

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is commonly required, along with certifications in analytics or data science. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data insights to stakeholders. These skills ensure accurate data-driven decision-making and effective communication of trends and recommendations to support business goals.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, making strategic recommendations, and understanding business context, which AI cannot fully replicate. Data analysts will continue to be essential for designing analyses, validating results, and providing insights that require human judgment and domain expertise.

What are some common challenges faced by Online Data Analysts, and how can they be addressed?

Online Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for reporting. Addressing these requires strong attention to detail, proficiency with analytical tools (like SQL, Python, or Excel), and effective time management skills. Collaborating closely with data engineers and stakeholders also helps clarify requirements and ensures the analysis aligns with business objectives. Regular training and staying updated with the latest data analysis techniques can further help overcome these challenges.

What are online data analysts?

Online data analysts are professionals who collect, process, and interpret data from digital sources to help organizations make informed decisions. They use various analytical tools and techniques to identify patterns, trends, and insights from large datasets. Their work often involves cleaning and organizing data, creating reports, and presenting findings to stakeholders. Online data analysts play a crucial role in improving business strategies, marketing efforts, and operational efficiency.

Is 40 too late for data science?

For an online data analyst role, age is generally not a barrier; many professionals transition into data science or related fields later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and building a strong portfolio can help late entrants establish themselves in the field.

What is the difference between Online Data Analyst vs Data Scientist?

AspectOnline Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; proficiency in Excel, SQL, and data visualization toolsBachelor's or master's degree in computer science, statistics, or related; knowledge of programming languages like Python or R
Work EnvironmentRemote or office-based; primarily focused on data reporting and analysisOften in research or tech companies; involved in complex data modeling and predictive analytics
Employer & Industry UsageBusiness, marketing, e-commerce, and retail sectorsTechnology, finance, healthcare, and research sectors

Online Data Analysts focus on interpreting data, creating reports, and supporting decision-making with existing data sets. Data Scientists build models, develop algorithms, and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise and handle more complex data projects.

How to become an online data analyst?

To become an online data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or computer science. Developing skills in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with understanding data visualization, is essential. Gaining relevant certifications and experience through projects or internships can also improve job prospects.
More about Online Data Analyst jobs
What cities are hiring for Online Data Analyst jobs? Cities with the most Online Data Analyst 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 Online Data Analyst jobs? States with the most job openings for Online Data Analyst jobs include:
What job categories do people searching Online Data Analyst jobs look for? The top searched job categories for Online Data Analyst jobs are:
Online Data Analyst jobs near you
Infographic showing various Online Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Online Data Engineer Manager

Online Data Engineer Manager

Home Depot

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 9 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,383 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
The Online Data Engineer Manager position is responsible for managing a team and processes related to the development of advanced analytics to support the Company's strategic objectives. This position is responsible for prioritizing requests and managing a product roadmap. Additionally, the communicate effectively with technical and non-technical audiences. Online Data Engineer Managers provide data architecture that is flexible, scalable and consistent for cross-functional use and align to stakeholder business requirements.
Key Responsibilities:
  • 40% - People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Engineers (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments.
  • 25% - Project Management & Team Support - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts.
  • 15% - Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable the team to be most effective in executing their roles; Collaborate with other data team managers across the organization to establish high level strategy and optimize talent management.
  • 20% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Drive analytics teams to get matured in predictive and prescriptive analytics; Network with both academic and industry experts to further the application of advanced analytics to business problem.

Direct Manager/Direct Reports:
  • This position reports to the Senior Manager or Above
  • This position has 3-4 direct reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.
  • Experience managing and growing team members in a professional setting
  • Demonstrated proficiency in guiding more junior team members through data modeling, mining, and data analysis

Preferred Qualifications:
  • Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
  • Previous people or project team management experience
  • Mastery of writing SQL queries against a relational/column-based database
  • Proficient building ETL/data pipelines
  • Mastery of a modern scripting language (preferably Python)
  • Proficient stitching and maintaining data from multiple sources using tools like Google BigQuery and Python
  • *NOTE: Below qualifications may be team specific
  • Experience with JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose) [John's Team]
  • Ability to produce tags for site data [John's Team]
  • Experience engineer and automate data flows pipelines (using tools like PySpark, AirFlow, or DataProc)
  • Knowledge of optimizing pipeline run time and lowering the cost on slots/storage consumption

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:
  • 6

Preferred Years of Work Experience:
  • 6

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • 1+ year of previous leadership experience

Certifications:
  • None

Competencies:
  • Decision Quality
  • Collaborates
  • Drives Engagement
  • Ensures Accountability
  • Plans and Aligns
  • Communicates Effectively
  • Customer Focus
  • Develops Talent
  • Drives Results
  • Manages Conflict

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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