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Python Analytics Jobs in Buffalo, NY (NOW HIRING)

Healthcare BI Analyst

Buffalo, NY ยท Remote

$100K - $115K/yr

Preferred proficiency in Python programming to support automation and advanced analytics capabilities. Education and Experience: * Bachelor's degree in Information Systems, Data Analytics, or a ...

Healthcare BI Analyst

Buffalo, NY ยท On-site

$100K - $115K/yr

Preferred proficiency in Python programming to support automation and advanced analytics capabilities. Education and Experience: * Bachelor's degree in Information Systems, Data Analytics, or a ...

Senior Commercial Insurance Analyst - Remote

Alabama, NY ยท Remote

$79K - $105K/yr

Working knowledge of R or Python. * Experience with automating repetitive tasks. * Adaptability and ... Superior research, statistical, analytical, processing and mathematical skills with ability to ...

Senior Media Analyst

Boston, NY

$83K - $110K/yr

... and analytics that investors use to make crucial decisions. At FactSet, our values are the ... Python) for data extraction, transformation, analysis, and workflow automation * Hands-on ...

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Commercial Risk Analyst II

Buffalo, NY ยท On-site

$62K - $103K/yr

... out root cause analysis and collaborating with stakeholders to establish improvement plans ... Experience of using SQL, Tableau, Power BI or Python is a plus. Experience of working with ...

Solutions Engineer, Remote

Buffalo, NY ยท On-site

$120K - $140K/yr

Build advanced analytical models using SQL, Python, and Excel to demonstrate product value. * Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical ...

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Python Analytics information

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How much do python analytics jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python analytics in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.
What cities near Buffalo, NY are hiring for Python Analytics jobs? Cities near Buffalo, NY with the most Python Analytics job openings:
Healthcare BI Analyst

Healthcare BI Analyst

Centivo

Buffalo, NY โ€ข Remote

$100K - $115K/yr

Full-time

Posted yesterday


Job description

We exist for workers and their employers -- who are the backbone of our economy.ย  That is where Centivo comes in -- our mission is to bring affordable, high-quality healthcare to the millions who struggle to pay their healthcare bills.

The Healthcare BI Analyst role is pivotal in transforming claims, clinical and operational data into meaningful insights for market-facing and internal business needs. As part of the Analytics team, this position is responsible for delivering accurate, complete, and timely reports that will enable the relevant stakeholders to take decisions to achieve the twin goals of improve health outcomes while reducing cost of care. The role involves end-to-end ownership of assigned reporting and analytics capabilities, from data sourcing and validation to metric creation, resulting in dashboard design, development, testing, and ongoing enhancements. Additionally, the role supports troubleshooting, identifies root causes, recommends technology and process solutions, and participates in stakeholder meetings and special projects.

Responsibilities include:

Working under the guidance of the Analytics leader, this role is responsible for partnering with business stakeholders and subject matter experts to gather, document, and validate requirements, and translate them into technical data specifications, KPIs, and user outcomes.

  • Design: Architect end-to-end solution covering data sourcing, scalable data models, metric definitions, and dashboard layouts that are scalable, accurate, user-friendly, and visualize trends effectively.

  • Development: Build reports, dashboards, and analytical datasets; write optimized SQL and leverage company approved BI tools to deliver market-facing and internal analytics capabilities. Own metric definitions, calculation logic, and data lineage to ensure reporting consistency across the organization.

  • Testing: Conduct rigorous data validation and user acceptance testing (UAT); verify metric logic, source-to-target accuracy, and dashboard functionality before release.

  • Release: Manage the deployment of new reports and dashboards through defined release processes; communicate with stakeholders to ensure access control, user training, and timely delivery.

  • Maintenance: Monitor and sustain the health of existing reporting assets; troubleshoot data and dashboard issues, identify root causes, and implement technology or process fixes to ensure ongoing reliability. Compare KPIs to understand the root cause of variation.

  • Enhancements: Continuously evaluate existing analytics capabilities for improvement opportunities; incorporate stakeholder feedback, evolving business needs, and new data sources to expand analytical value.

  • Training and Documentation: Provide training and support to end users on utilizing and interpreting reports and analytics. Write user-friendly documentation to help self-serve.

  • Ad-hoc Needs: Deliver urgent business needs through rapid ad-hoc queries, report creation, and data analysis.

  • Trend Analysis: Perform continual analysis of current performance, utilizing historical trends, and conduct frequent re-forecasting to make necessary adjustments in staffing plans to achieve service level goals and business objectives.

  • Process Optimization: Support the internal teams by using data and root cause analysis to recommend process changes that improve SLAs and operational efficiency. Reduce manual effort by automating needs for insights through BI tools, scripting, and improved data pipelines.

  • Special Projects: Contribute to assigned special projects and transformation initiatives.

Qualifications:

Required Skills and Abilities:

  • Strong understanding of healthcare data, including claims, clinical, and operational data.

  • Proven experience managing the full lifecycle of reporting and analytics development, from requirements gathering through long-term maintenance.

  • Expert-level troubleshooting skills with a focus on root cause identification and process improvement.

  • Mature expertise in Jira, Confluence, project planning, Microsoft Office, and related productivity tools.

  • Demonstrated ability to work independently, problem-solve, and make decisions in a fast-paced environment while managing multiple issues and production deadlines.

  • Proficiency in the use of AI tools to improve productivity while maintaining appropriate guardrails.

  • Excellent verbal and written communication skills, including the ability to clearly and concisely convey complex or technical information and interpret complex information from others.

Preferred Qualifications:

  • Preferred proficiency in Python programming to support automation and advanced analytics capabilities.

Education and Experience:

  • Bachelorโ€™s degree in Information Systems, Data Analytics, or a related field.

  • 5+ years of experience developing healthcare reporting and analytics using advanced SQL, BI tools such as Tableau and Power BI, advanced Excel skills including Power Query, Power Pivot, and Excel Data Model, working with large datasets across multiple source systems, and cloud infrastructure.

Location:

  • Candidates located within commuting distance of our Buffalo office will be considered for both in-person and hybrid roles.

  • All other applicants will be considered for remote positions.

Centivo Values:

  • Resilient โ€“ This is wicked hard. There is no easy button for healthcare affordability. Luckily, the mission makes it worth it and sustains us when things are tough. Being resilient ensures we donโ€™t give up.

  • Uncommon - The status quo stinks so we had to go out and build something better. We know the healthcare system. It isn't working for members, employers, and providers. So we're building it from scratch, from the ground up. Our focus is on making things better for them while also improving clinical results - which is bold and uncommon.

  • Positive โ€“ We care about each other. It takes energy to do hard stuff, build something better and to be resilient and unconventional while doing it. Because of that, we make sure we give kudos freely and feedback with care. When our tank gets low, a team member is there to be a source of new energy. We celebrate together. We are supportive, generous, humble, and positive.

Who we are:

Centivo is an innovative health plan for self-funded employers on a mission to bring affordable, high-quality healthcare to the millions who struggle to pay their healthcare bills. Anchored around a primary care based ACO model, Centivo saves employers 15 to 30 percent compared to traditional insurance carriers. Employees also realize significant savings through our free primary care (including virtual), predictable copay and no-deductible benefit plan design. Centivo works with employers ranging in size from 51 employees to Fortune 500 companies. For more information, visit centivo.com.

Headquartered in Buffalo, NY with offices in New York City and Buffalo, Centivo is backed by leading healthcare and technology investors, including a recent round of investment from Morgan Health, a business unit of JPMorgan Chase & Co.

Compensation Range: $100K - $115K