Part Time Analytics Jobs in Remote, OR (NOW HIRING)

As of Jun 18, 2026, the average yearly pay for part time analytics in Remote, OR is $123,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $153,300.00 per year, depending on experience, location, and employer.

Part-time data analysts typically earn between $15 and $35 per hour, depending on experience, location, and industry. Entry-level roles may pay closer to the lower end, while experienced analysts with specialized skills or certifications can earn higher wages.

Part-time analytics jobs involve analyzing data to help organizations make informed decisions, but on a reduced or flexible schedule instead of a traditional full-time position. These roles can include tasks such as data collection, statistical analysis, creating reports, and providing insights into business trends. Part-time analytics professionals may work in various industries, including finance, marketing, healthcare, or e-commerce. These jobs are ideal for individuals seeking work-life balance, students, or those looking to gain experience while managing other commitments.

Part-time data analytics roles are available and typically involve fewer hours than full-time positions, often allowing flexibility for students or those seeking additional income. These roles may require proficiency in tools like Excel, SQL, or Python, and can be found in various industries such as finance, marketing, or healthcare. Scheduling and responsibilities vary by employer, but part-time positions generally focus on specific projects or ongoing analysis tasks.

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

Part Time Analytics roles in data science are accessible at various ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Many professionals transition into data science later in their careers and find opportunities in the field.

Part-time analytics professionals often work closely with full-time analysts, data engineers, and business stakeholders by attending key meetings, sharing progress updates, and contributing insights on specific projects. While their hours may be limited, clear communication and proactive scheduling help ensure that deliverables align with team timelines. Tools like shared dashboards, project management platforms, and regular check-ins are commonly used to maintain alignment and maximize impact. Adapting quickly to shifting priorities and being flexible with availability are important for successful collaboration in this role.

To thrive as a Part Time Analytics professional, you need a solid understanding of data analysis, statistical methods, and proficiency in tools like Excel, supported by relevant coursework or a degree in a quantitative field. Familiarity with analytics platforms such as SQL, Tableau, or Python, and sometimes certifications like Google Data Analytics, are commonly required. Strong problem-solving abilities, attention to detail, and clear communication help you interpret data and present insights effectively. These skills ensure you can deliver actionable data-driven recommendations that support business decisions, even within limited working hours.