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Online Data Analytics Jobs (NOW HIRING)

Home Depot

Online Data Engineer Manager

Atlanta, GA · On-site

$108.80K - $130.70K/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 ...

Microsoft Legal Department

Data Analytics

Redmond, WA · On-site +1

$141K - $171K/yr

Analyze data using a variety of tools and data analysis techniques. Present findings and ... Facilitate foundational operations that support the core infrastructure of Microsoft's online ...

AceStack LLC

Data Analytics

Santa Clarita, CA · On-site

Role : Data Analytics Location: Santa Clara, CA (on-site) FTE & Contract Both Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1. ...

Kanshe Infotech

Data Analytics

Santa Clara, CA · On-site

Data Analytics Location: Santa Clara, CA (Onsite) Required Skills: * Strong Advanced SQL experience * Strong Data Analytics background * Experience building BI Dashboards using Tableau & Power BI

Pyramid Consulting

Data Analytics

El Segundo, CA · On-site

Data Analytics Immediate need for a Data Analytics for a position in the IT Industry. This is a 12+ months contract opportunity with long-term potential located in EI Segundo, CA. Please review the ...

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Online Data Analytics information

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How much do online data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for online data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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 statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics. Critical thinking, attention to detail, and effective communication are essential soft skills for translating data insights into actionable business recommendations. These abilities are vital for driving data-informed decisions and delivering value to organizations in digital environments.

How do online data analysts typically collaborate with other departments to drive business decisions?

Online data analysts often work closely with teams such as marketing, product development, and IT to interpret data trends and translate findings into actionable strategies. Regular cross-functional meetings and project-based collaborations are common, ensuring that analytical insights align with business goals. Effective communication skills are essential, as analysts must present complex data in a clear, concise manner to non-technical stakeholders. This collaborative approach not only enhances decision-making but also provides analysts with a broader understanding of business operations.

What is online data analytics?

Online data analytics refers to the process of collecting, processing, and analyzing data that is generated through online platforms, such as websites, social media, and digital marketing channels. Professionals in this field use specialized tools and techniques to interpret large datasets, identify trends, and provide actionable insights to help businesses improve their online strategies. The role often involves using software like Google Analytics, Python, and SQL to manage and visualize data. Online data analytics is crucial for optimizing digital campaigns, understanding user behavior, and making data-driven decisions.

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

AspectOnline Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentRemote or online platforms, often freelance or contract-basedOffice or corporate settings, sometimes remote
Employer & Industry UsageTech companies, e-commerce, digital marketingFinance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding online analytics roles, freelance opportunitiesTraditional data analysis careers, job requirements

Online Data Analytics focuses on analyzing digital data through online platforms, often in freelance or remote settings. Data Analysts typically work in corporate environments with a broader scope of data types. Both roles require similar skills and educational backgrounds but differ mainly in work environment and industry focus.

What cities are hiring for Online Data Analytics jobs? Cities with the most Online Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Online Data Analytics jobs? States with the most job openings for Online Data Analytics jobs include:
Online Data Analytics jobs near you
Infographic showing various Online Data Analytics job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 57% Physical, 5% Hybrid, and 38% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Online Data Engineer Manager

Online Data Engineer Manager

Home Depot

Atlanta, GA • On-site

$108.80K - $130.70K/yr

Full-time

Posted 8 days ago

Home Depot rating

7.5

Company rating: 7.5 out of 10

Based on 6,220 frontline employees who took The Breakroom Quiz

5th 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

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