ZipRecruiter

Log In

2

Remote Data Analytics Instructor Jobs in Atlanta, GA

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

PrizePicks

Data Platform Engineer

Atlanta, GA · Remote

$100K - $150K/yr

You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

next page

Showing results 1-20

All JobsData Analytics Instructor JobsRemote Data Analytics Instructor JobsRemote Data Analytics Instructor Jobs in Atlanta, GA

Remote Data Analytics Instructor information

See Atlanta, GA salary details

$23

$52

$90

How much do remote data analytics instructor jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote data analytics instructor in Atlanta, GA is $52.65, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.66 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Instructor, and why are they important?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by Remote Data Analytics Instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a Remote Data Analytics Instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What are the most commonly searched types of Data Analytics Instructor jobs in Atlanta, GA? The most popular types of Data Analytics Instructor jobs in Atlanta, GA are:
What are popular job titles related to Remote Data Analytics Instructor jobs in Atlanta, GA? For Remote Data Analytics Instructor jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Instructor jobs in Atlanta, GA look for? The top searched job categories for Remote Data Analytics Instructor jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Analytics Instructor jobs? Cities near Atlanta, GA with the most Remote Data Analytics Instructor job openings:
Remote Data Analytics Instructor jobs near you
Vice President, Data & AI Strategy (Fully Remote)

Vice President, Data & AI Strategy (Fully Remote)

PadSplit

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

The Role We Need
PadSplit is looking for a Vice President, Data & AI Strategy to transform data, machine learning, and artificial intelligence into a strategic advantage that improves outcomes for our members, hosts, and business. Reporting directly to the CTO, this leader will oversee our Analytics, Machine Learning, and AI functions while driving responsible AI adoption across the company. This role will ensure our data and AI investments generate measurable business impact while maintaining the trust and ethical standards our mission demands.
The Person We Are Looking For
We are looking for an experienced executive who has successfully led integrated data, analytics, and machine learning organizations and has personally driven AI adoption at scale. The ideal candidate combines strong technical judgment with business acumen, helping leaders separate meaningful opportunities from hype while translating complex concepts into action. They are a pragmatic, mission-driven leader who can influence executives, develop teams, and ensure data and AI are deployed responsibly to improve people's lives.
Here's What You'll Be Doing Day-to-Day:
  • AI Strategy Leadership: Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement.
  • Organization Leadership: Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization.
  • Roadmap Ownership: Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities.
  • Data Platform Management: Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem.
  • Responsible AI Governance: Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices.
  • Product Partnership: Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes.
  • Executive Decision Support: Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations.
  • Technology Evaluation: Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.

Here's What You'll Need to Be Successful:
  • Executive Leadership: 10+ years of experience in data, analytics, machine learning, or AI leadership roles, including experience managing managers.
  • Integrated Team Leadership: Proven success leading both analytics and machine learning functions within a single organization.
  • AI Deployment Experience: Demonstrated track record implementing AI solutions at scale and measuring business outcomes.
  • Technical Expertise: Strong understanding of modern data platforms, machine learning systems, analytics tooling, and AI technologies such as Snowflake, dbt, and Hex.
  • Ethical AI Perspective: Clear point of view on AI governance, responsible deployment, bias mitigation, and customer impact.
  • Executive Communication: Ability to influence senior leaders, present to boards, challenge assumptions, and simplify complex technical concepts.
  • Cross-Functional Partnership: Experience working across Product, Finance, Marketing, Legal, and Operations to deliver business outcomes through data.
  • Data Platform Stewardship: Hands-on familiarity with modern data stacks and experience managing data quality, governance, and platform costs.

The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone call with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our CTO for one (1) hour.
  • If warranted, the next step would be a video panel interview with members of our leadership team for one (1) hour.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for two (2) hours.
  • The panel interview will require a candidate to work on a data assessment where you will showcase your data and AI skills to the panel for discussion.
  • If warranted, the final interview would be with our CEO.
  • If warranted, then we move to offer!

Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

$0 - $0 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
Notice to Applicants:
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply