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Data Analyst Python Sql Jobs in Maine (NOW HIRING)

Carrier Voice Engineer

Brunswick, ME ยท On-site

$75K - $95K/yr

Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash, PowerShell, REST APIs, Power BI, or Grafana. * Experience with relational or analytics databases ...

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn). * Working knowledge of SQL and relational databases. * Familiarity with at least one ML or deep learning ...

SQL developer

Augusta, ME ยท On-site

$80K/yr

Strong quantitative, analytical, problem solving, organizational, communication and interpersonal ... Reports directly to Automated Data Sourcing Manager * Interacts with other colleagues at all levels ...

Data Scientist

Portland, ME ยท On-site

$87K - $123K/yr

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn). * Working knowledge of SQL and relational databases. * Familiarity with at least one ML or deep learning ...

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Data Analyst Python Sql information

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 Maine look for? The top searched job categories for Data Analyst Python Sql jobs in Maine 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:
Carrier Voice Engineer

Carrier Voice Engineer

FirstLight

Brunswick, ME โ€ข On-site

$75K - $95K/yr

Full-time

Posted 28 days ago


Job description

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade voice services across wireline, wireless, wholesale, enterprise, and interconnect environments. This role requires deep expertise in VoIP, SIP, TDM, SBC platforms, voice security, fraud mitigation, AI-enabled analytics, software systems, databases, and Tier III operational support.

The ideal candidate has hands-on experience with large-scale telecom voice platforms, SIP trunking, SS7/SIGTRAN, DDoS protection, security monitoring, data analysis, and automation within a highly available carrier network.

Key Responsibilities


  • Design, implement, and maintain security controls for carrier-grade voice platforms, including SIP infrastructure, SBCs, softswitches, media gateways, and interconnect gateways.
  • Configure, harden, and troubleshoot Session Border Controllers supporting carrier interconnects, SIP trunks, wholesale, enterprise, and customer-facing voice services.
  • Protect voice infrastructure against SIP-based attacks, toll fraud, robocalling abuse, traffic pumping, caller ID spoofing, DDoS events, and abnormal call routing behavior.
  • Monitor voice networks for security events, service-impacting issues, fraud indicators, and anomalous traffic patterns using logs, telemetry, SIEM tools, and operational dashboards.
  • Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat identification, incident response, and operational efficiency.
  • Analyze telecom data from CDRs, SIP logs, SBC telemetry, routing systems, firewalls, DNS, SIEM platforms, fraud systems, and operational databases.
  • Support and troubleshoot software applications used for voice provisioning, fraud management, CDR processing, reporting, monitoring, service assurance, and network operations.
  • Query and analyze relational or analytics databases to support troubleshooting, reporting, fraud investigations, and security analysis.
  • Provide Tier III support for voice security incidents, SIP/SBC issues, fraud events, DDoS attacks, and complex service-impacting problems.
  • Support secure migration and ongoing protection of legacy and hybrid voice environments, including TDM, SS7, SIGTRAN, PSTN gateways, and IP-based voice platforms.
  • Maintain high availability and resiliency through secure design, geographic redundancy, failover validation, disaster recovery planning, and capacity management.
  • Maintain documentation, standards, diagrams, playbooks, and procedures; support audits, risk reviews, regulatory requirements, and security governance activities.


Required Qualifications


  • 7+ years of experience in telecom network engineering, voice engineering, network security, or carrier operations.
  • 5+ years of hands-on experience with carrier-grade VoIP, SIP, SBC, softswitch, or voice platform environments.
  • Strong knowledge of telecom voice technologies and protocols, including SIP, RTP/SRTP, TLS, SDP, DNS, SS7, SIGTRAN, ISUP, and SIP trunking.
  • Experience with carrier voice platforms such as Cisco, Metaswitch, Genband/Ribbon, NetSapiens, or comparable SBC/softswitch platforms.
  • Experience securing SIP trunks, carrier interconnects, wholesale voice, enterprise voice, and customer-facing voice services.
  • Knowledge of voice fraud patterns, telecom abuse scenarios, and mitigation techniques.
  • Experience with AI/ML, automation, scripting, or analytics used for fraud detection, anomaly detection, reporting, or network/security operations.
  • Experience working with software applications and databases used in telecom, security, fraud, provisioning, reporting, or operations environments.
  • Familiarity with tools such as SIEM platforms, firewalls, DDoS platforms, packet capture tools, CDR repositories, fraud systems, dashboards, and log analysis platforms.
  • Strong troubleshooting skills using Wireshark, tcpdump, SIP traces, SBC logs, CDR analysis, SQL queries, and platform diagnostic tools.


Preferred Qualifications


  • Experience supporting Tier 1, Tier 2, or large regional carrier voice networks.
  • Experience with STIR/SHAKEN, robocall mitigation, call authentication, or voice reputation platforms.
  • Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash, PowerShell, REST APIs, Power BI, or Grafana.
  • Experience with relational or analytics databases such as Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch.
  • Familiarity with OSS/BSS, provisioning systems, service assurance platforms, fraud management systems, network inventory systems, SIEM/SOAR, or ticketing platforms.
  • Relevant certifications such as CISSP, CISM, or CCNP Security


About FirstLight:

FirstLight, headquartered in Albany, New York, provides fiber-optic data, Internet, data center, cloud and voice services to enterprise and carrier customers throughout the Northeast connecting more than 13,000 locations in service with more than 125,000 locations serviceable by our more than 25,000-route mile network. FirstLight offers a robust suite of advanced telecommunications products featuring a comprehensive portfolio of high bandwidth connectivity solutions including Ethernet, wavelength, and dark fiber services as well as dedicated Internet access solutions, data center, cloud and voice services. FirstLightโ€™s clientele includes national cellular providers and wireline carriers and many leading enterprises, spanning high tech manufacturing and research, hospitals and healthcare, banking and financial, secondary education, colleges and universities, and local and state governments.

FirstLight Fiber is an equal opportunity employer. In accordance with state and federal laws, FirstLightโ€™s equal opportunity policy is that all applicants and employees are treated equally by the company with respect to employment opportunities, regardless of race, color, religion, sex, sexual orientation, disability, or veteran status or veteran disability.