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Data Analytics Teaching Assistant Jobs (NOW HIRING)

Primeritus Financial Services Inc

CO · On-site

Enablement • Teach and coach business users on data best practices -- how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls. • Help teams look more ...

Bethany Learning Academy

Teaching Assistant

Orlando, FL · On-site

$13 - $16.50/hr

Observe students' performance and record relevant data to assess progress * Teach social skills to ... A year of previous teaching assistant experience preferred * High-energy with a love of working ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... Conduct research and support special projects and departmental reporting needs. * Assist in the ...

Hinds County Human Resource Agency

Be Seen First

Data Analytics Officer

Jackson, MS · On-site

$65K - $68K/yr

... teacher evaluations, COPA, and other organizational data platforms. * Develops predictive and ... Assistants during the school year. * Strong project and product management skills. * Robust ...

Holy Childhood, Inc.

Teaching Assistant

Rochester, NY · On-site

$19.96 - $21.96/hr

Ability to collect progress monitoring data on academic, social, and behavioral areas * Assist with clerical and record keeping duties or other general housekeeping duties as directed by teacher ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · On-site

Claude, Copilot, or similar) to assist with data visualization development * 1-3+ years of experience in a technical role within data and analytics * Ability to work with data from multiple systems ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

State of Oregon

Teaching Assistant

Salem, OR · On-site

$3.5K - $4.7K/wk

Teaching Assistant Position Title & Classification: Teaching Assistant Salary Range: $3,515 - $4 ... data collection, and interpretation. Ensure student safety during these activities. * Escort and ...

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Data Analytics Teaching Assistant information

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How much do data analytics teaching assistant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analytics teaching assistant in the United States is $15.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.07 per hour, depending on experience, location, and employer.

What is a data analytics teaching assistant?

Data Analytics Teaching Assistants are professionals who support instructors and students in courses focused on data analytics. They help clarify complex topics such as data cleaning, visualization, and statistical analysis, and often assist with grading assignments, hosting office hours, and providing feedback. Their role is essential in ensuring students understand key concepts and succeed in their studies. Teaching assistants may also guide students in using popular data analytics tools like Excel, Python, or Tableau. Overall, they act as a bridge between the instructor and students, enhancing the learning experience.

What are the key skills and qualifications needed to thrive as a data analytics teaching assistant?

To thrive as a Data Analytics Teaching Assistant, you need a strong foundation in data analysis, statistics, and a relevant degree or equivalent experience. Familiarity with tools like Python, R, SQL, Excel, and platforms such as Tableau or Power BI is typically required, along with knowledge of course management systems. Excellent communication, patience, and the ability to explain complex concepts clearly are crucial soft skills. These competencies ensure effective student support, foster learning, and contribute to successful course delivery.

What are the main challenges a data analytics teaching assistant might face when supporting students in a classroom setting?

As a Data Analytics Teaching Assistant, one of the main challenges is addressing the varying levels of technical proficiency among students. You may need to tailor explanations and provide additional resources for those struggling with complex concepts like data visualization or statistical analysis. Balancing your time between answering individual questions, assisting with group projects, and supporting the lead instructor can also be demanding. Developing strong communication and organizational skills is essential for effectively helping students and ensuring a positive learning environment.

What is the difference between Data Analytics Teaching Assistant vs Data Analyst?

AspectData Analytics Teaching AssistantData Analyst
Required CredentialsOften a bachelor's degree in related field; some roles prefer coursework in data analytics or educationBachelor's or higher in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentEducational settings, assisting instructors, supporting studentsCorporate, finance, healthcare, or tech industries analyzing data for business insights
Employer & Industry UsageUniversities, colleges, online education platformsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data analytics educationAnalyzing data for decision-making in organizations

The main difference is that a Data Analytics Teaching Assistant supports educational activities and helps students learn data concepts, while a Data Analyst focuses on analyzing data to generate insights for organizations. The roles overlap in required skills and certifications but differ significantly in work environment and primary responsibilities.

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Data Analytics Teaching Assistant jobs near you
Infographic showing various Data Analytics Teaching Assistant 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 $32,572 per year, or $15.7 per hour.

Data Analytics Lead

Primeritus Financial Services Inc

CO • On-site

Full-time

Posted 13 days ago

Job description

Primeritus Financial Services is a national provider of repossession management, remarketing, titled, and skip tracing services to the automotive finance industry in the United States and Puerto Rico. Primeritus provides clients with value-added, outsourced repossession management skip tracing investigations, and remarketing services by leveraging a national network of certified agents and unique investigative techniques to quickly and reliably secure customers’ collateral. Through effective leadership, service, and performance, Primeritus Financial Services offers the trifecta of repossession services: locate, recover, and remarket.
The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers, and leads a small reporting/analyst team. Success is measured less by the volume of analysis this person personally produces, and more by how well-equipped the business becomes to use data on its own — alongside a scalable analytics architecture and a growing team. This position is remote and open to candidates located in the Denver, CO; Dallas, TX; Nashville, TN; and Raleigh, NC markets.
Key Responsibilities
Data Education amp; Enablement
• Teach and coach business users on data best practices — how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls.
• Help teams look more broadly at their data: encourage thinking beyond the immediate ask to underlying trends, context, and root causes.
• Build reusable frameworks, documentation, and training materials that raise the analytical maturity of the organization over time.
• Partner with product, analytics, and leadership teams to translate one-off questions into repeatable, self-service answers.
• Step in personally on complex or ambiguous analysis when needed, modeling best practice for others to learn from.
BI amp; Analytics Architecture
• Own the target-state vision for Primeritus's BI/analytics architecture and set the roadmap to get there.
• Design and evolve data models, reporting structures, and integrations that support product platforms, analytics, and regulatory requirements.
• Expand self-service analytics capabilities — including natural-language and AI-assisted query tools — so business users can access and explore their own data with less dependence on the BI team.
• Evaluate and recommend BI/analytics tooling and platform improvements as the business and data needs grow.
• Monitor, optimize, and troubleshoot reporting and data processing performance.
Leadership amp; Mentorship
• Lead a small team of reporting/analyst team members — providing direction, technical coaching, and career development.
• Review the team's analysis and reporting work for accuracy, clarity, and business relevance.
• Serve as the go-to technical authority on analytics and data-related decisions across product and technology teams.
Governance amp; Compliance
• Define and enforce data governance standards, including data quality, lineage, and metadata management.
• Ensure architecture and reporting practices support financial-industry compliance, security, privacy, and auditability requirements.
• Collaborate with security, risk, and compliance partners to embed controls into architecture and reporting.
Technical Skills amp; Capabilities
Core Technologies
• 8+ years of experience in BI development, data analysis, or analytics architecture.
• Strong expertise in TSQL, Power BI, and DAX; SSIS/SSAS experience a plus.
• Experience with Azure Data Services (ADF, Azure SQL Database, Synapse) or an equivalent cloud data platform.
• Solid understanding of data warehouse and reporting architecture.
• Experience resolving complex data quality and performance issues.
AI amp; Emerging Technology
• Experience using AI/LLM tools to accelerate analysis, reporting, or documentation (e.g., Copilot in Power BI, AI-assisted SQL or DAX generation).
• Understanding of how natural-language/AI query interfaces work over structured data, sufficient to architect, evaluate, and govern them.
• Comfort piloting and assessing emerging AI tooling for BI and self-service analytics, and separating real capability from hype.
Analytics, Communication amp; Teaching
• Ability to analyze large, complex datasets and translate them into meaningful, decision-ready insights.
• Strong reporting and visualization skills using Power BI, Power Apps, and Excel.
• Excellent written and verbal communication skills; able to explain technical concepts to non-technical audiences.
• Experience training, coaching, or upskilling business users on data literacy or analytical best practices.
• Demonstrated ability to tell clear, compelling stories from data.
Qualifications
Required
• Bachelor's or Master's degree in Computer Science, Statistics, Data Analytics, or a related field (or equivalent experience).
• 5+ years of experience developing analytics, data platforms, or decision-support solutions.
• Experience in financial services or another highly regulated industry.
• Experience mentoring or providing technical direction to reporting/analyst staff.
• Experience teaching or coaching non-technical business users on how to work with and interpret data.
Preferred
• Experience supporting product-led or platform-based organizations.
• Familiarity with cloud-native analytics ecosystems.
• Relevant cloud, data architecture, or analytics certifications.
Success Looks Like
• Business users ask sharper questions and think more broadly about their data, rather than relying solely on the BI team.
• Executives and business teams rely on trusted, timely, data-driven insight to guide decisions.
• The BI/analytics architecture scales with business growth and regulatory change.
• Business users increasingly self-serve data and answers, reducing ad hoc load on the BI team.
• The team members grow in capability and confidence under this person's mentorship.
Primeritus is an Equal Opportunity employer and all qualified applicants will receive consideration to employment without regard to race, color, religion, gender, pregnancy, sexual orientation, national origin, age, or protected veteran or disability status.

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