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

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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Data Analyst Python Sql information

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$33.9K

$82.3K

$135.5K

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

As of Jun 19, 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.

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.

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.

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:

Technical Field Specialist

TSMG

Bangor, ME

Full-time

Posted 8 days ago

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Job description

About the Role
 
Join the team as a Technical Field Specialist and play a vital role in testing pre-release mobile hardware and software across a variety of transportation environments—including cars, buses, trains, and planes. You’ll help ensure top-tier data collection, device performance, and operational reliability in real-world conditions.
Key Responsibilities
  • Configure devices (IOS, accounts, apps, connectivity) to spec and ensure they’re ready for field deployment
  • Track inventory and stage equipment for upcoming field sessions
 
Field Sessions (In the Vehicle):
  • Travel to designated locations and transport modes (cars, buses, trains, planes)
  • Run ~90 minute test sessions on mobile/wearable tech in motion
  • Monitor device functionality, connectivity, and data flow; troubleshoot issues on-site
  • Capture logs, escalate defects, and keep operations running smoothly
 
Post-Test Wrap-Up:
  • Verify that collected data has synced with backend systems
  • Produce session documentation: results, app issues, logs, and downtime
  • Suggest improvements to testing workflows
Requirements
  • Bachelor’s degree, or 2–3 years of hands-on technical support/testing experience
  • At least 1 year of QA testing or support experience with mobile apps/devices
  • Proficiency in mobile & web tech (Excel/Sheets; SQL, JavaScript a plus)
  • Excellent written and verbal communication—able to collaborate with cross-functional teams
  • Reliable travel capability with a valid driver’s license and ability to use multiple transport modes
  • High responsibility, flexibility, confidentiality mindset, and strong interest in tech
  • Clean driving record and criminal background
Why Join?
  • Work on the cutting edge of mobile and location-based tech
  • Gain diverse field experience across different transport modes
  • Collaborate with industry-leading engineers and project managers

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.