1

Data Analyst Python Sql Jobs in Ellsworth, ME (NOW HIRING)

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... SQL, PL/SQL, Uniface, Acucobol * Experience in troubleshooting APIs and/or web services preferred.

Power BI Intern

Bangor, ME · On-site

$15/hr

... Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL.

At least 1 year of professional experience with scripting, programming tools, basic SQL queries, and related technologies. * At least 1 year of professional experience collecting and analyzing data ...

Data fluency - comfortable reading analytics dashboards, writing basic SQL, or at minimum knowing the right questions to ask and how to get answers * Exceptional written communication: your specs ...

You'll help ensure top-tier data collection, device performance, and operational reliability in ... SQL, JavaScript a plus) * Excellent written and verbal communication--able to collaborate with ...

You'll help ensure top-tier data collection, device performance, and operational reliability in ... SQL, JavaScript a plus) * Excellent written and verbal communication-able to collaborate with cross ...

CloudOps Engineer

Orono, ME · On-site

$104.77 - $170.95/hr

... data and streamline their operations. Location Yarmouth, Maine or Remote (travel 2-5%) ... Scripting skills - Minimum 1 year scripting with Bash or Python. * AWS services - Familiarity with ...

Data Analyst Python Sql information

See Ellsworth, ME salary details

$33.9K

$82.3K

$135.5K

How much do data analyst python sql jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst python sql in Ellsworth, ME is $82,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,600.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What cities near Ellsworth, ME are hiring for Data Analyst Python Sql jobs?

Cities near Ellsworth, ME with the most Data Analyst Python Sql job openings:

NCC Adjunct Faculty: Data Analytics

Community College System of New Hampshire

Bangor, ME • On-site

Full-time

Re-posted 15 days ago


Job description

Nashua Community College is seeking qualified individuals who are interested in adjunct teaching at the College on a course-by-course basis; strong academic background is required. Adjunct appointments are temporary, for a specified contract period and may require in classroom or online instruction as indicated.

We currently have a need for instructors in our Data Analytics Program for the Fall of 2026 semester. Course may be offered online, hybrid (online and face to face component) or face-to-face on campus. Candidates must live regionally (within New England).

  • AI and Data Literacy
  • Data Mining
  • Communicating with Data
  • Data Wrangling and SQL
  • Business Analytics
  • Programming for Analytics and AI (R/python)
  • Applied Machine Learning and Natural Language Processing
  • Databases - an overview
  • AI tools and Business automation

Minimum Qualifications:

Minimum qualifications are a Master's Degree in Data Analytics/Science, Statistics, Business Analytics, Artificial Intelligence, or closely related field, and three years of relevant experience.

Potential candidate should have experience with the data analysis process and be familiar with data analytics tools such as Excel, Tableau, PowerBI, SQL, NoSQL, Datawrapper, Python, SAS, SPSS, Artificial Intelligence Tools, and R.

The salary range for this position is $850-$1,000 per contact hour. The rate will be determined by the appointed adjunct faculty rank, which is based on education and industry and/or teaching experience.

CCSNH has established employer status within the New England states (Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island). In compliance with CCSNH policies and state regulations, eligibility for employment within CCSNH and its institutions requires residency within a New England state.

Application Process:

Submit your application online with cover letter, resume/Curriculum Vitae, statement of teaching philosophy, and copy of official/unofficial transcripts.

In your cover letter:

  • Please discuss any relevant experience
  • Please list courses you have taught, (if applicable)
  • Please list courses you are interested and qualified to teach (To learn more about course offerings at NCC, please visit https://nashuacc.edu/programs/)

Please note: Resumes will not be accepted in lieu of a completed employment application and Employment History Sections that state "see resume" will not be accepted. Resumes will be reviewed on an on-going basis until needs are met and may be kept on file for future openings.

The Community College System of NH does not discriminate in the administration of its admissions and educational programs, activities, or employment practices on the basis of race, creed, color, religion, ancestry or national origin, age, sex, sexual orientation, gender identity and expression, physical or mental disability, genetic information, or law enforcement, military, veteran, or marital status.

All offers of employment are contingent upon the successful completion of the required background check.