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Data Analyst Python Sql Jobs in Maine (NOW HIRING)

Develops and optimizes SQL queries, stored procedures, functions, triggers, and views; designs ... Plans and performs data conversions, imports, exports, and migrations. * Ensures data integrity ...

Develops and optimizes SQL queries, stored procedures, functions, triggers, and views; designs ... Plans and performs data conversions, imports, exports, and migrations. * Ensures data integrity ...

Utilize Python and modern data platforms (such as Power BI, Databricks, or Microsoft Fabric) to transition manual reports into scalable, automated solutions * Portfolio Analysis & Quantitative ...

Utilize Python and modern data platforms (such as Power BI, Databricks, or Microsoft Fabric) to transition manual reports into scalable, automated solutions * Portfolio Analysis & Quantitative ...

Utilize Python and modern data platforms (such as Power BI, Databricks, or Microsoft Fabric) to transition manual reports into scalable, automated solutions * Portfolio Analysis & Quantitative ...

Data Engineer

Mexico, ME · On-site

$119K - $143K/yr

Java and Python) and experience working within a test-driven CI/CD development pipeline. * Great numerical and analytical skills. * Strong analytical skills with the ability to combine data from a ...

Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies. Apply validation, aggregation ...

Showing results 41-60

Data Analyst Python Sql information

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 are popular job titles related to Data Analyst Python Sql jobs in Maine?

For Data Analyst Python Sql jobs in Maine, the most frequently searched job titles are:

What cities in Maine are hiring for Data Analyst Python Sql jobs?

Cities in Maine with the most Data Analyst Python Sql job openings:

Summer 2027 Consulting Internship - Healthcare Data Management and Strategy

BerryDunn

Portland, ME

$30/hr

Full-time, Temporary, Internship

Posted 8 days ago


Job description

BerryDunn’s Healthcare Analytics Practice Group is looking for a highly motivated “data minded” intern to join our Consulting practice that provides end-to-end data management services to government and private clients. We have a well-established stream of business and offer opportunities for growth to challenge-seeking individuals with a passion for excellence.

This fulltime position is an attractive opportunity for a candidate looking to kick off their career in data analytics, and will be based at our Portland, ME office. Capable, motivated individuals can expect a variety of projects, including but not limited to; enterprise data management strategy, data quality and system analysis, design and development of data integration, warehousing, business intelligence, and reporting solutions, as well as analytical projects that will expose them to the full range of our work in healthcare analytics.

Our work environment is collegial and stimulating with supportive colleagues who work collaboratively in achieving client and firm success. The internship dates are as follows: May 25, 2027 to August 6, 2027.

In order to be considered, you must include your unofficial academic transcription with your application.


  • Use database, analytic programming, and ETL tools to implement and maintain data management and warehousing solutions and create valuable data analytics assets for clients
  • Work with clients and members of the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality
  • Perform data quality analysis, investigate and resolve unusual findings
  • Translate business and technical requirements into data analysis and management plan specifications
  • Develop and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs
  • Participate in all aspects of planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions
  • Over time, work with senior staff to design approaches to solving clients’ problems
  • Improve efficiency and reliability of client and BerryDunn data processes
  • Work with other groups within BerryDunn to provide support for system analysis, data pipeline engineering, and data architecture

  • Course-work in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework
  • Experience with database programming, data warehouse ETL development, or analytic programming, such as in Microsoft SQL Server or SAS is a plus
  • Training or background in data programming desired  
  • Knowledge of data visualization tools, e.g., Tableau, Power BI etc. a plus
  • Knowledge of cloud-based technologies a plus
  • Interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a changing environment
  • Attention to detail and critical thinking skills
  • Strong oral and written communication skills
  • A team orientation with a friendly and professional demeanor and an ability to remain flexible amid changing needs
  • Ability to work with coworkers and diverse clients through periods of collaboration and self-directed work
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

The hourly rate for this role is $30 per hour. This rate range represents BerryDunn’s good faith and reasonable estimate of the possible compensation at the time of posting. If an applicant possesses experience, education, or other qualifications more than the minimum requirements for this posting, that applicant is encouraged to apply, and a final rate may then be based on those additional qualifications; compensation decisions are dependent on the facts and circumstances of each case. The hourly rate for the finalist selected for this role will be based on a variety of factors, including but not limited to, years of experience, depth of experience, seniority, merit, education, training, amount of travel, and other relevant business considerations. 


Our people are what make BerryDunn special, and in return we strive to support our employees and help them thrive. Eligible employees have access to benefits that go beyond what’s expected to support their physical, mental, career, social, and financial well-being. Visit our website for a complete list of benefits and a look into our culture: Experience BerryDunn.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process or perform essential job functions. Please contact careers@berrydunn.com to request an accommodation.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

 

About BerryDunn

BerryDunn is the brand name under which Berry, Dunn, McNeil & Parker, LLC and BDMP Assurance, LLP, independently owned entities, provide services. Since 1974, BerryDunn has helped businesses, nonprofits, and government agencies throughout the US and its territories solve their greatest challenges. The firm’s tax, advisory, and consulting services are provided by Berry, Dunn, McNeil & Parker, LLC, and its attest services are provided by BDMP Assurance, LLP, a licensed CPA firm. 

BerryDunn is a client-centered, people-first professional services firm with a mission to empower the meaningful growth of our people, clients, and communities. The firm has been recognized for its efforts in creating a diverse and inclusive workplace culture, and for its focus on learning, development, and well-being. Learn more at berrydunn.com.