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Hourly Remote Data Analyst Jobs in Portland, ME (NOW HIRING)

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

Technical Lead, Data Analytics Department: Arkalytics - Support Employment Type: Full Time Location ... Remote Compensation: $100,000 - $140,000 / year Description Technical Lead | SQL | Snowflake ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert ... Flexible remote work with optional access to our Portland, Maine office * Four-day work week after ...

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Wood Plc

GIS Analyst

Portland, ME · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Demand.com

Marketing Director (Remote)

Portland, ME · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

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All JobsHourly Data Analyst JobsHourly Remote Data Analyst JobsHourly Remote Data Analyst Jobs in Portland, ME

Hourly Remote Data Analyst information

See Portland, ME salary details

$34.8K

$84.5K

$139.1K

How much do hourly remote data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for hourly remote data analyst in Portland, ME is $84,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 per year, depending on experience, location, and employer.

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

What are popular job titles related to Hourly Remote Data Analyst jobs in Portland, ME?

For Hourly Remote Data Analyst jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Analyst jobs in Portland, ME look for?

The top searched job categories for Hourly Remote Data Analyst jobs in Portland, ME are:

What cities near Portland, ME are hiring for Hourly Remote Data Analyst jobs?

Cities near Portland, ME with the most Hourly Remote Data Analyst job openings:

Hourly Remote Data Analyst jobs near you
Infographic showing various Hourly Remote Data Analyst job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $84,550 per year, or $40.6 per hour.

Technical Lead, Data Analytics

Arkatechture

Portland, ME • On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Technical Lead, Data Analytics
Department: Arkalytics - Support
Employment Type: Full Time
Location: Remote
Compensation: $100,000 - $140,000 / year
Description
Technical Lead | SQL | Snowflake | Tableau | AWS
At Arkatechture, we believe data should empower better decisions. Since 2012, we've partnered with financial institutions across the country to solve complex data challenges through modern analytics, cloud technologies, and AI-powered solutions.
Our mission is built on three simple pillars:
  • Do something meaningful
  • With a great team
  • Earning what you deserve

We're looking for an experienced technical leader who is passionate about solving complex data problems, mentoring others, and helping customers unlock the full potential of their data. If you enjoy writing SQL one minute, architecting a cloud data solution the next, and coaching teammates along the way, we'd love to meet you.
As the Technical Lead, Data Analytics, you'll serve as the senior technical expert for a portfolio of enterprise customers while helping shape the future of our Support Services team.
This is a hands-on technical leadership role, not a people manager who occasionally reviews code. You'll spend much of your time solving challenging SQL and cloud data platform problems, partnering directly with customers, mentoring analysts, and driving technical excellence across the organization.
While this role is expected to grow into formal people leadership, your technical expertise, problem-solving ability, and customer partnership skills are what will make you successful from day one.
Key Responsibilities
  • Serve as the senior technical resource for our Business Intelligence and Data Analytics Support team.
  • Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms.
  • Perform root cause analysis and implement scalable, long-term solutions-not just quick fixes.
  • Review SQL and BI object changes while promoting development best practices.
  • Mentor and coach analysts, helping elevate the technical capabilities of the entire team.
  • Identify opportunities for automation and continuous improvement across support processes.
  • Lead root cause analysis meetings as necessary to dig into any thematic issues that crop up and how we can mitigate them
  • Help customers maximize the value of Arkatechture's analytics platform through technical guidance and best practices.
  • Partner closely with Customer Success to improve customer satisfaction, retention, and platform adoption.
  • Support customer meetings by offering technical expertise, hold office hours, expand upon Knowledge Base articles and Learning Management System training for customers.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Design, develop, troubleshoot, and optimize complex SQL solutions.
  • Troubleshoot ELT processes, data pipelines, and BI reporting environments.
  • Monitor and resolve issues with Tableau and Power BI dashboards and scheduled refreshes.
  • Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer solutions.

Skills, Knowledge and Expertise
We're looking for someone who enjoys solving difficult technical problems and helping others do the same.
  • 6+ years of experience working with SQL in production environments
  • Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL Server, Oracle, Redshift, Synapse, BigQuery, or similar)
  • Strong experience designing, troubleshooting, and optimizing data warehouses and analytics solutions
  • Experience with Tableau and Power BI
  • A strong understanding of data modeling, ELTprocesses, and modern analytics architecture
  • Exceptional analytical and troubleshooting skills
  • Outstanding communication skills and the ability to build trusted customer relationships
  • Experience mentoring teammates or serving as a technical leader
  • Experience with Agile development practices and tools such as Jira, Confluence, and Bitbucket

Experience with any of the following is a plus:
  • Professional Python experience
  • Experience supporting cloud infrastructure, preferably AWS
  • Financial services, banking, or credit union technology
  • Customer-facing consulting or technical support leadership
  • Modern data engineering and cloud architecture
  • Data governance or data quality initiatives
  • AI or machine learning technologies

Why You'll Love Working Here
At Arkatechture, you'll work alongside curious, collaborative people who genuinely enjoy solving hard problems together.
We offer:
  • Flexible remote work with optional access to our Portland, Maine office
  • Four-day work week after three years of service
  • Competitive salary and comprehensive benefits
  • Medical, disability, life insurance, and optional dental and vision coverage
  • 401(k) with company match
  • Generous paid time off and paid holidays
  • Professional development and certification reimbursement
  • Opportunities to influence our technical direction while continuing to grow your own expertise

We're proud of the culture we've built. We hire people who are humble, curious, collaborative, and driven by continuous improvement.
Our values guide everything we do:
  • Put the team first.
  • Practice humility.
  • Take pride in your work.
  • Stay curious.
  • Care for your community and the environment.
  • Take the work seriously, but not yourself.

If you're excited about building innovative data solutions, solving complex technical challenges, and helping shape a growing technical team, we'd love to hear from you.
To help us get to know you, please include your resume and answer the following question in the cover letter section of the application:
Describe the most technically challenging SQL or cloud database problem you've solved. What was the issue, how did you approach it, and what was the outcome? (250 words or less.)
Don't meet every qualification listed above? We still encourage you to apply. Research consistently shows that talented candidates, particularly women and underrepresented groups, often hesitate to apply unless they meet every requirement. If this role excites you, we'd love to hear from you.

Apply