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Full Time Python Data Analysis Jobs in Rochester, NY

FirstLight

Carrier Voice Engineer

Victor, NY · 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 ...

CooperCompanies

Lead, Supply Chain Analyst

Victor, NY · On-site

This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible ... The supporting work will include data analysis, project management, and providing recommendations ...

Corning

Optical Design Engineer

Fairport, NY · On-site

$112K - $155K/yr

Macro development in CODE V, and data analysis and script development in MATLAB or Python. * Solid ... The range for this position is $112,902.00 - $155,240.00 assuming full time status. Starting pay ...

Corning

Optical Design Engineer

Fairport, NY · On-site

$112K - $155K/yr

Macro development in CODE V, and data analysis and script development in MATLAB or Python. * Solid ... The range for this position is $112,902.00 - $155,240.00 assuming full time status. Starting pay ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Rochester, NY

Full Time Python Data Analysis information

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$13

$57

$85

How much do full time python data analysis jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for full time python data analysis in Rochester, NY is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
What are the most commonly searched types of Python Data Analysis jobs in Rochester, NY? The most popular types of Python Data Analysis jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Full Time Python Data Analysis jobs? Cities near Rochester, NY with the most Full Time Python Data Analysis job openings:
Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Rochester, NY as of July 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,307 per year, or $57.8 per hour.
Carrier Voice Engineer

Carrier Voice Engineer

FirstLight

Victor, NY • On-site

$75K - $95K/yr

Full-time

Posted 25 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. FirstLight’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, FirstLight’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.