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Part Time Oracle Data Analyst Jobs (NOW HIRING)

$69K - $158K/yr

Share Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Analyst, Marketing

New York, NY ยท On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About the Role Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

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Part Time Oracle Data Analyst information

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$34K

$82.6K

$136K

How much do part time oracle data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for part time oracle data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a part time Oracle Data Analyst?

A Part Time Oracle Data Analyst is a professional who works with Oracle databases to collect, analyze, and interpret data, but does so on a part-time basis. Their responsibilities often include creating reports, running queries, and ensuring data integrity to support business decision-making. They may also assist with data migration, database optimization, and troubleshooting issues within Oracle systems. Working part-time allows flexibility in scheduling, which can be ideal for students, parents, or those seeking work-life balance.

What is the difference between Part Time Oracle Data Analyst vs Part Time SQL Data Analyst?

AspectPart Time Oracle Data AnalystPart Time SQL Data Analyst
Required CredentialsOracle certifications, SQL knowledgeSQL certifications, database skills
Work EnvironmentOrganizations using Oracle databasesOrganizations using various databases, including SQL Server
Industry UsageFinance, healthcare, retail with Oracle systemsTech, finance, marketing with SQL databases
Search & Comparison IntentUnderstanding Oracle-specific rolesComparing SQL database roles

The main difference between a Part Time Oracle Data Analyst and a Part Time SQL Data Analyst lies in the database systems they specialize in. Oracle Data Analysts focus on Oracle database environments and often require Oracle certifications, while SQL Data Analysts work with various SQL-based databases. Both roles involve data analysis, but their tools and industry applications differ slightly, catering to different organizational needs.

What are the key skills and qualifications needed to thrive as a part time Oracle Data Analyst?

To thrive as a Part Time Oracle Data Analyst, you need strong analytical skills, proficiency in SQL, data modeling, and a background in computer science or a related field. Familiarity with Oracle databases, data visualization tools, and experience with ETL processes or certifications like Oracle Certified Professional (OCP) are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills in this role. These capabilities ensure accurate data analysis, effective reporting, and collaboration with stakeholders for informed business decisions.

How does a part time Oracle Data Analyst typically collaborate with full time team members and manage workload expectations?

As a part-time Oracle Data Analyst, you will often work closely with full-time analysts, IT staff, and business stakeholders to ensure data integrity and support ongoing analytics projects. Effective communication is key, as you may need to coordinate hand-offs or updates during limited working hours. Workload expectations are usually adjusted to reflect your part-time schedule, focusing on specific projects or tasks such as data extraction, report generation, or troubleshooting. Many organizations use collaborative tools and regular check-ins to keep part-time analysts integrated and informed. This structure helps maintain project continuity and ensures your contributions align with overall team objectives.
More about Part Time Oracle Data Analyst jobs
What cities are hiring for Part Time Oracle Data Analyst jobs? Cities with the most Part Time Oracle Data Analyst job openings:
What are the most commonly searched types of Oracle Data Analyst jobs? The most popular types of Oracle Data Analyst jobs are:
Infographic showing various Part Time Oracle Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Marketing Data Analyst

Carmel Catholic High School

Mundelein, IL โ€ข On-site

$20 - $25/hr

Full-time, Part-time

Re-posted 8 days ago


Job description

Position Type:
Communication & Marketing
Date Posted:
5/5/2026
Location:
Carmel Catholic High School - Mundelein
Date Available:
07/01/2026
Marketing Data Analyst
Part-Time | 15 20 hours per week - Salary: $20-$25 per hour
Reports to: Director of Marketing and Strategic Communications
Position Summary
The Marketing & Data Analyst drives data-informed decision-making across enrollment, marketing, and advancement by analyzing audience behavior, identifying trends, and providing clear strategic recommendations.
This role goes beyond reporting to actively interpret data, define target audiences, and uncover opportunities to improve recruitment, engagement, and communication effectiveness. The ideal candidate is a proactive, self-directed thinker who seeks out data, identifies patterns, and translates insights into actionable strategies that guide institutional priorities.
Primary Responsibilities
Audience Insights & Behavioral Analysis
  • Identify and define key audiences (prospective families, parents, students, alumni, donors) and recommend who Carmel should be targeting across initiatives
  • Analyze audience behavior across the enrollment funnel, digital platforms, and engagement channels
  • Interpret how audiences interact with marketing, communications, and recruitment efforts to uncover opportunities for growth
  • Provide clear recommendations on how to better reach, engage, and convert target audiences

Enrollment & Marketing Strategy Insights
  • Analyze enrollment pipeline performance and recommend strategies to improve conversion at each stage
  • Evaluate marketing campaign performance and provide actionable recommendations to improve effectiveness and ROI
  • Identify trends in inquiry, application, and enrollment behavior to inform recruitment strategy
  • Partner with Admissions and Marketing to guide campaign direction based on data insights

Proactive Research & Opportunity Identification
  • Independently seek out and analyze relevant data sources (internal and external) to identify trends, gaps, and opportunities
  • Conduct market and competitive research to better understand positioning and audience behavior
  • Surface insights and recommendations without needing direct prompting, acting as a strategic thought partner to leadership

Surveys & Institutional Research
  • Design and manage surveys for prospective families, parents, students, and alumni
  • Conduct and analyze senior exit interviews and institutional surveys
  • Translate survey results into actionable insights and strategic recommendations

Advancement & Engagement Analytics
  • Analyze donor behavior, alumni engagement, and campaign performance
  • Provide recommendations to improve donor participation and long-term engagement
  • Identify patterns that inform advancement strategy and communication priorities

Reporting & Data Visualization
  • Develop dashboards and reports that clearly communicate trends, performance, and opportunities
  • Ensure data accuracy and integrity across reporting systems
  • Translate complex data into clear, actionable insights for leadership

Qualifications
  • Bachelor's degree or Associate's degree in data analytics, statistics, business, marketing, or related field
  • Experience working with data analysis, reporting tools, and visualization platforms
  • Strong analytical and problem-solving skills with the ability to interpret behavioral data
  • Demonstrated ability to translate data into strategic recommendations and insights
  • Self-starter with a proactive approach to identifying opportunities and driving improvements
  • Strong communication skills, with the ability to clearly present insights to non-technical stakeholders