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Part Time Data Analytics Manager Jobs in Austin, TX

AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

... analysis, valuation, and investment decision-making. * Assess and annotate financial data, reports ... management, or strategic finance. * Experience preparing investment memos, valuation analyses ...

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... tasks with macros, and managing large data sets efficiently. Emphasizes practical business ...

Microsoft Excel Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... tasks with macros, and managing large data sets efficiently. Emphasizes practical business ...

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ... tasks with macros, and managing large data sets efficiently. Emphasizes practical business ...

Research low-cost/built-in analytics features and flag useful tools. * Perform other duties as ... Interest in data visualization and reporting; experience with Power BI preferred. * Strong ...

Research low-cost/built-in analytics features and flag useful tools. * Perform other duties as ... Interest in data visualization and reporting; experience with Power BI preferred. * Strong ...

Research low-cost/built-in analytics features and flag useful tools. * Perform other duties as ... Interest in data visualization and reporting; experience with Power BI preferred. * Strong ...

Showing results 41-60

Part Time Data Analytics Manager information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do part time data analytics manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for part time data analytics manager in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Data Analytics Manager vs Data Analyst?

AspectPart Time Data Analytics ManagerData Analyst
Required CredentialsBachelor's degree in data-related field, some managerial experienceBachelor's degree in data, statistics, or related field
Work EnvironmentOversees projects, manages teams, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed in organizations needing leadership in analytics projectsCommon in various industries for data processing roles
Search & Comparison IntentOften compared for leadership vs technical roles in analyticsCompared for entry-level or technical data roles

The Part Time Data Analytics Manager focuses on overseeing analytics projects and managing teams, requiring some managerial experience. In contrast, a Data Analyst primarily analyzes data and prepares reports without managerial duties. Both roles often require similar educational backgrounds but differ in scope and responsibilities, with the manager role emphasizing leadership and strategic planning.

What are popular job titles related to Part Time Data Analytics Manager jobs in Austin, TX?

For Part Time Data Analytics Manager jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analytics Manager jobs in Austin, TX look for?

The top searched job categories for Part Time Data Analytics Manager jobs in Austin, TX are:

What cities near Austin, TX are hiring for Part Time Data Analytics Manager jobs?

Cities near Austin, TX with the most Part Time Data Analytics Manager job openings:

AI Finance Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 12 days ago


Job description

Job Title: AI Finance Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities
  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills
  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications
  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.