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Data Analyst Remote Chinese Jobs in Portland, ME

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 ...

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 ...

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 ...

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 ...

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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Showing results 1-20

Data Analyst Remote Chinese information

See Portland, ME salary details

$34.8K

$84.5K

$139.1K

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

As of Aug 25, 2026, the average yearly pay for data analyst remote chinese 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 a data analyst remote Chinese?

Data Analyst Remote Chinese jobs are positions where professionals analyze and interpret data while working remotely, often from home, and require proficiency in the Chinese language. These roles typically involve gathering, cleaning, and analyzing large datasets to help organizations make data-driven decisions. Being fluent in Chinese is essential for understanding data sources, collaborating with Chinese-speaking teams, or working with data from Chinese markets. Remote data analysts use tools such as Excel, SQL, Python, or specialized analytics software, and they may work for companies in a variety of industries, including technology, finance, and marketing.

How does working as a remote data analyst for Chinese-language data differ from traditional in-office roles?

As a remote Data Analyst specializing in Chinese-language data, you'll often collaborate virtually with cross-functional teams across different time zones. Communication can include both English and Chinese, so proficiency in both languages is highly valued. Remote work offers flexibility, but it also requires strong self-discipline and proactive communication to stay aligned with team goals and project deadlines. You may encounter unique challenges such as ensuring data privacy compliance with Chinese regulations and working with region-specific data sources.

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

To excel as a Data Analyst Remote Chinese, you need strong analytical abilities, data interpretation skills, proficiency in Chinese and English, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with data analysis tools like SQL, Excel, Python, and visualization platforms such as Tableau or Power BI is often required. Excellent communication, attention to detail, and self-motivation are crucial soft skills, especially when working independently across time zones. These skills enable clear insights, accurate reporting, and effective collaboration in a global remote environment.

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

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

Infographic showing various Data Analyst Remote Chinese 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

Portland, ME • On-site, Remote

Arkatechture
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees

$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.