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Remote Data Analytics Instructor Jobs in Charlotte, NC

Senior Auditor - Data Management

Charlotte, NC · On-site +1

$75K - $92K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The role requires the ability to independently analyze large and complex datasets using analytical ...

Senior Auditor - Data Management

Charlotte, NC · On-site +1

$79K - $97K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The role requires the ability to independently analyze large and complex datasets using analytical ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Director, Analytics

Concord, NC · Remote

$180K - $200K/yr

Our platform transforms complex, diverse data into a unified foundation for health, helping ... A flexible, remote friendly company with personality and heart * Employee driven programs and ...

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Remote Data Analytics Instructor information

See Charlotte, NC salary details

$23

$53

$92

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

As of Aug 8, 2026, the average hourly pay for remote data analytics instructor in Charlotte, NC is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 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?

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 job categories do people searching Remote Data Analytics Instructor jobs in Charlotte, NC look for? The top searched job categories for Remote Data Analytics Instructor jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Remote Data Analytics Instructor jobs? Cities near Charlotte, NC with the most Remote Data Analytics Instructor job openings:

Senior Manager - Analytics Data Platform

Allstate

Concord, NC • On-site, Remote

Full-time

Re-posted 6 days ago


Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 564 frontline employees who took The Breakroom Quiz

217th of 303 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here-the dreamers, doers, and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents toward transforming transportation.
That's because at Arity, we believe work and life shouldn't be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don't just want you to see yourself here. We want you to be yourself here.
Arity Analytics Data Platform
Arity's Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity's mission forward. The ADP team defines, provisions, and manages data pipelines, tools, platforms, and infrastructure to optimize analytics workflows and facilitate efficient collaboration with Arity's engineering teams to bring analytics products to production. We promote best practices for code and model management, reproducibility, scalability, and governance of the end-to-end analytics lifecycle. The team also plays a central role in the adoption and effective use of emerging AI-based development tools within the Arity Analytics community.

The Role:


You will lead a team of data and infrastructure engineers in the overall delivery of data solutions enabling advanced data science and analytics. This includes the development and management of cloud-based big data systems for ingesting, processing, and managing spatial-temporal and other types of data for analytics R&D; the implementation and operationalization of advanced data processing pipelines and AI solutions; identifying and integrating new data management and data analytics tools and ensuring best practices in their usage; and establishing and administering MLOps best practices in collaboration with Arity Engineering. The Senior Manager is responsible for the recruitment, selection, mentorship, and development of team members and for setting the strategic direction for the team in support of the business objectives of the company. This role is also accountable for building alignment with key stakeholders across Arity on the big data management strategy and execution.

Key Responsibilities:

  • Manageand develop the Analytics DataPlatformteam and drive technical excellence.

  • Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics dataand model managementplatform and improve operational efficiencyin accordance withbusinessobjectives.

  • Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms.

  • Use your knowledge of cloud design patterns, cloud operations,and cloud cost models toidentifyand address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data& model managementplatform performance.

  • Be a subject matter expert in cloud computing&model management/MLOpsto help data scientists and analysts work effectively in the cloud environment.

  • Work collaboratively with cross-functional teams, including data scientists, analysts,engineers,and business stakeholders, to understand dataand ML systemrequirements and deliver effective solutions.

  • Be a technology thought leader and a key influencer on technical decisions and organizationalstrategythat have long-term, strategic impact on the business.

Functional Skills:

  • Deep knowledge about public cloud architecture, cloud strategy, cloud operations, compliance, and related tools.

  • Hands-on experience in designing and delivering big data management and applications on cloud platforms using modern software development processes, methodologies, and tools.

  • Demonstrated experience in working with cloud-based ML frameworks, such asAWSSagemakerAI, Google Vertex AI, Microsoft Azure ML,or Databricks, and inMLOpsworkflows,patternsand deliveryobjectives.

  • Proficient in system design or a programming language suchGoLang, Scala, Python

  • Demonstrated experience in designing and supportingcloud-baseddatalakes/warehouses/lakehouses

  • Excellent collaboration skills and ability to work on a remote team.

  • Strong analytical, problem solving,and organizational skills.

Experience:

  • 10 or more years of experience (preferred)

Supervisory Responsibilities:

  • This job has supervisory duties.

#LI-TE1

Skills

Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google Cloud Platform (GCP), Machine Learning Operations, Vertex AI

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


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