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

Maximus

Appian Developer

Bangor, ME · On-site

Perform SQL data modeling and database design. * Troubleshoot, debug, and optimize Appian ... and internal value analysis including seniority and merit systems, as well as internal pay ...

TSMG

Technical Field Specialist

Bangor, ME · On-site

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 ...

TSMG

Technical Field Specialist

Bangor, ME · On-site

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 ...

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

As of Jul 10, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 job categories do people searching Data Analyst Python Sql jobs in Ellsworth, ME look for? The top searched job categories for Data Analyst Python Sql jobs in Ellsworth, ME are:
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:
Data Analyst Python Sql jobs near you

Lecturer in Logistics and Data Analytics

Maine's Public Universities

Orono, ME

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Job description

The Maine Business School (AACSB Accredited) at the University of Maine seeks applicants for a teaching faculty position at the rank of Lecturer, with an anticipated start date of August 31, 2026. This will be a full-time, academic year, ongoing appointment based in Orono, Maine, and is renewable annually based on satisfactory performance.  This position will support teaching needs of the Maine Business School in courses related to Strategic Business Logistics, Analytics, and Supply Chain.  The preferred candidate will have professional experience in supply chain or logistics.  Primary teaching interests related to business logistics and analytics with a secondary interest in supply chain management are preferred.
The successful candidate will be expected to be an effective and engaging teacher, to make a strong commitment to the development and delivery of innovative curricula, to collaborate with the College and colleagues to increase student success, and to advise and mentor undergraduates and graduates in pursuit of their academic and professional goals. The typical teaching load is four (4) courses per semester at the undergraduate or graduate level, with the option to reduce this to three courses per term when engaged in significant service to the College. The candidate will be expected to participate in maintenance of AACSB accreditation. Service to the College, University, and in the Community is expected. 
 

About the University:
The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu. 
The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. 
UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer.
Qualifications:
Required: 

  • MBA, specialized master's degree in logistics or supply chain, or master's degree from related field.
  • 5 years of professional experience in logistics or supply chain management.

Preferred:

  • Ph. D. or DBA in logistics, supply chain, business analytics or related field.
  • More than two years of instructional experience at the collegiate level in logistics, supply chain, or business analytics.
  • More than 8 years of professional experience in logistics or supply chain management.
  • Demonstrated evidence of quality teaching. 
  • Experience teaching online and in person.
  • PMP (Project Management Professional) or CPIM (Certified in Planning and Inventory Management) certification.
  • Knowledge of Lean Six Sigma, Total Quality Management, and Agile/Scrum frameworks.
  • Proficiency in SQL for data retrieval, Excel (advanced modeling/VBA), and visualization tools like Tableau or Power BI.
  • Documented participation in activities promoting inclusive excellence.


Other Information: 

To be considered for this position you will need to "Apply" and upload the documentation listed below:

1.) a cover letter which describes your experience, interests, and suitability for the position
2.) a resume/curriculum vitae

Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for references.

Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University.

Applicants who are not US citizens or green card holders must currently reside in the United States and possess a valid immigration status that allows the University to petition for an H-1B transfer or change of status. We are unable to provide sponsorship for individuals who are currently located outside the U.S. and would require a new visa to enter the country for this position.
For full consideration, materials must be submitted by 4:30 p.m. EST on April 30, 2026.

For questions about the search, please contact search committee chair Tanya Beaulieu.
The successful applicant is subject to appropriate background screening. 


 

The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at www.maine.edu/title-ix/.

 
Clery Act
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. You may view the University's Annual Security Report. If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call 207.581.4053.

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