Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time ... exploration, data visualization, and predictive analytics. The mission of the Master of ...
Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time ... exploration, data visualization, and predictive analytics. The mission of the Master of ...
Recruitment & HR coordinator
CA$19 - CA$21/hr
Familiarity with HRIS, recruitment platforms, and data visualization tools (Power BI an asset ... Job Type: Part-time (In person, Monday to Friday) Benefits: * On-site parking * Store discount ...
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Recruitment & HR coordinator
CA$19 - CA$21/hr
Familiarity with HRIS, recruitment platforms, and data visualization tools (Power BI an asset ... Job Type: Part-time (In person, Monday to Friday) Benefits: * On-site parking * Store discount ...
Part Time Data Visualization information
How much does a data visualizer earn?
A part-time data visualizer typically earns between $15 and $30 per hour, depending on experience, skills, and the complexity of projects. Rates may vary based on geographic location and whether the work is freelance or employed full-time. Proficiency in tools like Tableau or Power BI can influence earning potential.
Will AI replace a data analyst?
AI tools can automate routine data processing and visualization tasks, but data analysts are essential for interpreting insights, making strategic decisions, and applying domain knowledge. The role of a data analyst involves critical thinking and communication skills that AI currently cannot fully replicate, making human expertise valuable even as automation increases.
Is 40 too late for data science?
Age is not a barrier to entering data science or part-time data visualization roles, as skills such as programming, data analysis, and visualization tools can be learned at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and building portfolios, making 40 an acceptable age to start or switch to this field.
What is a Part Time Data Visualization job?
A Part Time Data Visualization job involves creating visual representations of data to help organizations analyze trends, patterns, and insights. Professionals in this role use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to design charts, graphs, and dashboards. This position is typically flexible, allowing individuals to work fewer hours while still contributing to data-driven decision-making. Common industries for this role include marketing, finance, healthcare, and technology. It is ideal for students, freelancers, or professionals seeking a supplementary income while honing their data visualization skills.
Are data visualization jobs in demand?
Data visualization jobs are in high demand as organizations seek professionals skilled in tools like Tableau, Power BI, and D3.js to interpret complex data. The role is often part of data analysis, business intelligence, or data science teams, with growth driven by increasing data-driven decision-making across industries.
What are the key skills and qualifications needed to thrive in the Part Time Data Visualization position, and why are they important?
To thrive as a Part Time Data Visualization professional, you need a solid background in data analysis, proficiency in visual storytelling, and familiarity with statistical concepts, usually supported by a degree in a related field. Expertise in tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is highly valued, as are certifications in data analytics or visualization platforms. Strong attention to detail, creativity, and excellent communication skills help in translating complex data into clear and compelling visuals for diverse audiences. These abilities are crucial for delivering impactful insights that drive informed decision-making in a part-time setting.
What are some typical projects or responsibilities for a part time data visualization role?
In a part time data visualization role, you may work on projects such as creating dashboards, infographics, and interactive reports to communicate key business metrics or research findings. Responsibilities often include gathering and cleaning data, selecting appropriate visualization methods, and presenting results to stakeholders or team members. You might also collaborate with data analysts, business managers, and IT professionals to understand project goals and ensure the visuals meet user needs. This role offers flexibility and the opportunity to manage multiple projects while contributing valuable insights to organizational decision-making.
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CA$2.0K/wk
Part-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted yesterday
Job description
About the Opportunity
Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master of Professional Studies Analytics, located on-ground in Vancouver.
Responsibilities:
The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.
Qualifications:
Masters in an aligned discipline and analytics-industry experience.Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at the graduate level (on-ground) is strongly preferred.
Supervision:
This position will report to the Faculty Director of the Domain Analytics and Enterprise Intelligence.
Additional Information:
Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.
Position Type
AcademicAdditional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $2,049.43