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Part Time Data Analyst Jobs in Port Richey, FL (NOW HIRING)

CDP Manager

Largo, FL · On-site

$125K - $350K/yr

Marketing/Data Analytics **Reports To:** [Insert Reporting Manager Title] **Employment Type:** [Full-time/Part-time/Contract] **Job Overview:** We are seeking an experienced and strategic CDP Manager ...

Bill Review Systems Analyst

Tampa, FL · On-site

$93K - $121K/yr

Perform data gathering, root cause analysis and performance trending in order to develop ... Full and part-time employees receive one paid day per calendar year. * Learning and development:

Board Certified Behavior Analyst (BCBA)

Tampa, FL · On-site

$69K - $85K/yr

Part-Time & Full-Time Opportunities Available Pay Range: $80,000 - $100,000 $6,000 Relocation Bonus ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

... analyzing data flows between systems, including: AMI / MDM / EDM systems SAP CRB modules Support ... Mostly in a normal office environment Preferred Availability: Full-time (40 hours) or Part - Time ...

Assignments are typically technical or analytical, requiring specific skills and specialized ... Oversee fundraising data entry, from preparing deposits to crediting and updating reports. * Run ...

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Part Time Data Analyst information

See Port Richey, FL salary details

$30.1K

$73.3K

$120.6K

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

As of Jul 14, 2026, the average yearly pay for part time data analyst in Port Richey, FL is $73,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $86,000.00 per year, depending on experience, location, and employer.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a Part Time Data Analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are the most commonly searched types of Data Analyst jobs in Port Richey, FL? The most popular types of Data Analyst jobs in Port Richey, FL are:
What are popular job titles related to Part Time Data Analyst jobs in Port Richey, FL? For Part Time Data Analyst jobs in Port Richey, FL, the most frequently searched job titles are:
What cities near Port Richey, FL are hiring for Part Time Data Analyst jobs? Cities near Port Richey, FL with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Port Richey, FL as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,265 per year, or $35.2 per hour.
CDP Manager

CDP Manager

CDP, Inc (US)

Largo, FL • On-site

$125K - $350K/yr

Full-time, Part-time

Posted 10 hours ago


Job description

**Job Title: Customer Data Platform (CDP) Manager**

**Location:** [Insert Location]
**Department:** Marketing/Data Analytics
**Reports To:** [Insert Reporting Manager Title]
**Employment Type:** [Full-time/Part-time/Contract]

**Job Overview:**
We are seeking an experienced and strategic CDP Manager to lead the implementation, management, and optimization of our Customer Data Platform (CDP). The ideal candidate will possess a strong background in data management, marketing analytics, and customer segmentation strategies, with a proven ability to leverage data to drive marketing initiatives and enhance customer experience.

**Key Responsibilities:**

1. **CDP Implementation & Management:**
- Lead the deployment and configuration of the CDP, ensuring seamless integration with existing marketing tools and data sources.
- Oversee the day-to-day operations of the CDP, ensuring data integrity, privacy compliance, and security protocols are maintained.

2. **Data Strategy Development:**
- Design and implement a comprehensive data strategy to gather, organize, and analyze customer data from multiple sources.
- Collaborate with cross-functional teams to establish data collection processes and define data governance frameworks.

3. **Customer Segmentation & Analysis:**
- Utilize the CDP to create detailed customer profiles and segments, allowing for personalized marketing efforts.
- Analyze customer data to identify trends, behaviors, and opportunities that can inform marketing strategies and campaigns.

4. **Performance Measurement & Reporting:**
- Develop and monitor KPIs to assess the effectiveness of data-driven marketing initiatives.
- Prepare and present insights and reports to stakeholders, highlighting significant findings and recommendations.

5. **Collaboration with Stakeholders:**
- Work closely with marketing, sales, IT, and other departments to align data initiatives with business goals.
- Act as the primary point of contact for all CDP-related inquiries and training.

6. **Continuous Optimization:**
- Evaluate and implement improvements to CDP processes and workflows based on performance metrics and stakeholder feedback.
- Stay abreast of industry trends, best practices, and emerging technologies related to customer data management and analytics.

**Qualifications:**

- Bachelor’s degree in Marketing, Data Science, Business Administration, or a related field; Master’s degree preferred.
- 5+ years of experience in data management, marketing analytics, or a related field, with at least 2 years of experience specifically managing a CDP.
- Proficiency in CDP platforms (e.g., Segment, BlueConic, Tealium) and data visualization tools (e.g., Tableau, Power BI).
- Strong analytical skills, with the ability to interpret complex data sets and translate them into actionable insights.
- Experience with SQL, data modeling, and data integration methodologies.
- Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices in data security.
- Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
- Strong project management skills, with the ability to manage multiple priorities in a fast-paced environment.

**Why Join Us?**
At [Company Name], we value innovation and customer-centricity. As a CDP Manager, you will play a pivotal role in transforming how we interact with our customers and leverage data to drive business growth. We offer a collaborative work environment, opportunities for professional development, and competitive compensation packages.

**How to Apply:**
Interested candidates should submit their resume and a cover letter outlining their relevant experience to [Insert Application Email/Method].

[Company Name] is an Equal Opportunity Employer and welcomes candidates from diverse backgrounds to apply.

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