2

Remote Data Analyst Python Jobs in Maine (NOW HIRING)

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

Sr. Business Analyst, Valuation & Forecasting

Portland, ME ยท On-site +1

$96K - $124K/yr

... data manipulation; and the following proficiencies/skills: Python; Power Bl; Excel; and SQL. This position is eligible for the Employee Referral Program. Applicants may apply online at wexinc.com ...

$117K - $154K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

Lead Analyst

Portland, ME ยท On-site +1

$95K - $125K/yr

Remote Compensation: $95,000 - $125,000 / year Description Why Work Here? At Arkatechture, we have ... and/or Python * Experience with modern cloud data warehouses (Snowflake preferred; Databricks ...

next page

Showing results 1-20

People also search for

Remote Data Analyst Python information

How can I make $2000 a week working from home?

A remote data analyst can earn $2000 or more weekly by working on multiple freelance projects, consulting for clients, or securing high-paying contracts that leverage skills in Python, data visualization, and statistical analysis. Building a strong portfolio, gaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities.

What is the meaning of the word remote?

In the context of a remote data analyst role, 'remote' means working outside of a traditional office environment, often from home or another location of the employee's choice. It allows for flexible scheduling and requires strong communication skills and proficiency with digital collaboration tools.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the best remote control for Alzheimer's patients?

A remote data analyst role involves working with data tools and software, but it does not relate to remote controls for Alzheimer's patients. For managing Alzheimer's, specialized remote controls with simplified interfaces, large buttons, and voice-activated features are recommended to assist patients with cognitive impairments. Consulting healthcare professionals or caregivers can help identify the most suitable devices based on individual needs.

What is the meaning of remote in one word?

In the context of a remote data analyst Python role, 'remote' means working outside a traditional office environment, typically from any location with internet access. It allows flexibility in work setting and often involves virtual collaboration tools. The term emphasizes location independence for the job.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What are popular job titles related to Remote Data Analyst Python jobs in Maine? For Remote Data Analyst Python jobs in Maine, the most frequently searched job titles are:
What cities in Maine are hiring for Remote Data Analyst Python jobs? Cities in Maine with the most Remote Data Analyst Python job openings:
Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Biddeford, ME โ€ข Remote

$50 - $60/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

ย 

We're currently expanding into an exciting new area โ€“ teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

ย 

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up โ€“ and where it doesnโ€™t.

  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

ย 

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Masterโ€™s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

ย 

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when

  • You work on your own schedule, on your own computer, from the comfort of your own home

  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

ย 

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs

  • Evaluate the quality produced by AI models for correctness and performance

ย 

Qualifications:

  • Fluency in English (native or bilingual level)

  • Detail-oriented

  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

  • A current, in progress, or completed Master's and/or PhD is preferred but not required

ย 

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.