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

Agri-Cycle Energy LLC

Data Engineer

South Portland, ME · On-site

$118K - $142K/yr

... Analytics · Automate recurring operational and executive reports · Build dashboards for terminal ... Proficiency in Python or JavaScript/TypeScript (both preferred) · Experience with SQL and ...

Aperia Technologies

Solutions Engineer, Remote

Auburn, ME · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success. * Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Portland, ME

Data Analyst Python Sql information

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$34.8K

$84.5K

$139.1K

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 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.

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 are popular job titles related to Data Analyst Python Sql jobs in Portland, ME? For Data Analyst Python Sql jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Portland, ME look for? The top searched job categories for Data Analyst Python Sql jobs in Portland, ME are:
What cities near Portland, ME are hiring for Data Analyst Python Sql jobs? Cities near Portland, ME with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Veterinary Taxonomy Analyst

Covetrus North America LLC

Portland, ME

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Covetrus is a global animal-health technology and services leader dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We bring together products, services, and technology into a single platform that connects our customers to the solutions and insights they need to work best. Our passion for the well-being of animals and those who care for them drives us to advance the world of veterinary medicine.

Summary

We are looking for a curious, detail-oriented Taxonomy Analyst to join our team and help translate complex veterinary clinic data into actionable insights. This role collaborates with business intelligence and data engineering, making it ideal for someone with a passion for both animals and analytics. You will collaborate closely with software engineers, veterinary SMEs, and business stakeholders to surface insights that drive better outcomes for our hospital partners, clients, and patients.

Essential Duties and Responsibilities

  • Design, build, and maintain dashboards and reports that support product insights, data quality, and financial performance.
  • Query, clean, and analyze large datasets from veterinary practice management systems using SQL.
  • Build and understand taxonomy development and consumption through various data pipelines.
  • Perform data mapping using various product and patient demographic taxonomies.
  • Partner with software engineers to translate clinical workflows into data requirements.
  • Identify trends, anomalies, and opportunities in hospital performance data and communicate findings to both technical and non-technical audiences.
  • Support data integrity initiatives, including data validation, reconciliation, and documentation of data pipelines.
  • Develop a deep understanding of the veterinary business ecosystem, including how hospital data flows through scheduling, invoicing, medical records, and client communications.
  • Collaborate cross-functionally on ad hoc analytical requests from operations, finance, product, and leadership teams.
  • Advance AI tooling initiatives by providing QA for machine learning and normalization model outputs.
  • Contribute to the development of KPIs, metrics frameworks, and data governance standards.

Required

  • 2+ years of experience in a data analyst, business intelligence, or related role.
  • Proficiency in SQL, comfortable with writing complex queries, joins, subqueries, and aggregations.
  • Exceptional communication skills, with a demonstrated ability to explain nuanced veterinary industry concepts to highly technical software engineers and translate technical data constraints back to non-technical stakeholders.
  • Proven ability to work independently, manage competing priorities, and deliver in a fast-paced environment.

Preferred

  • Experience in the veterinary industry, animal health, or related healthcare setting.
  • Strong data visualization skills; experience with tools such as Tableau, Power BI, DataBricks Dashboards.
  • In-clinic experience, whether as a veterinary technician, practice manager, receptionist, or other patient-facing role is a significant plus.
  • Familiarity with veterinary practice management software (e.g., Pulse, Impromed, AVImark, etc).
  • Understanding of the broader veterinary business ecosystem and how hospital data drives outcomes across analytics, client experience, and financial reporting.
  • Knowledge of healthcare or veterinary data standards and compliance considerations.

We offer the following benefits for you to take advantage of while you are here provided you meet the eligibility requirements under each governing program:

  • 401k savings & company match

  • Paid time off

  • Paid holidays

  • Maternity leave

  • Parental leave

  • Military leave

  • Other leaves of absence

  • Health, dental, and vision benefits

  • Health savings accounts

  • Flexible spending accounts

  • Life & disability benefits

  • Identity theft protection

  • Pet insurance

  • Certain positions may include eligibility for a short-term incentive plan

Covetrus is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Apply