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Data Analytics 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 ...

Intellectt INC

Master Data Analyst

Scarborough, ME · On-site

Master Data Analyst Location: : Scarborough, Maine Duration: 12 Months - 100% Onsite role. Skills Looking For: * Data Management experience; SAP experience * Creating new parts in SAP (Part number ...

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... The Data Scientist III provides technical leadership across the overall Analytics function which ...

Northeastern University

Data Scientist

Portland, ME · On-site

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience Organization. Our team leverages AI across development workflows and uses it to extract insights from ...

Northeastern University

Data Scientist

Portland, ME · On-site

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

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All JobsData Analytics JobsData Analytics Jobs in Portland, ME

Data Analytics information

See Portland, ME salary details

$25

$56

$96

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Portland, ME is $56.01, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $63.46 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Portland, ME? The most popular types of Data Analytics jobs in Portland, ME are:
What are popular job titles related to Data Analytics jobs in Portland, ME? For Data Analytics jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Portland, ME look for? The top searched job categories for Data Analytics jobs in Portland, ME are:
What cities near Portland, ME are hiring for Data Analytics jobs? Cities near Portland, ME with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Portland, ME as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,540 per year, or $56 per hour.

Technical Lead, Data Analytics

Arkatechture

Portland, ME • On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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