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Python Analytics Jobs in Watervliet, NY (NOW HIRING)

Aperia Technologies

Solutions Engineer, Remote

Albany, NY · 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 ...

Innovcentric LLC

AWS Cloud Consultant

Albany, NY · On-site

$60/hr

Experience with data processing and analysis using Python on Linux platform. Experience writing transformations with Informatica Data Quality (IDQ) or similar ETL tool. Experience with relational and ...

GCOM

HBITS-02-11172

Troy, NY

Your energy, analytical, technical and business skills will drive real impact in your community ... Build dashboard using Power BI, Python and RPA * Perform data transformation into Azure Synapse ...

GD Resources

Senior Network Architect

Albany, NY · On-site

Troubleshoot and optimize LAN/WAN hardware for DOL; analyze logs, performance, and security ... Python and Ansible. Required Documents * Résumé * Copy of candidate identification (driver ...

GDR Defense

Senior IT Specialist - Power BI

Albany, NY · On-site

... in Python, HTML, JavaScript, CSS, using JavaScript frameworks such as AngularJS. * 5 years ' experience in system and data analysis, application design, dimensional and data modeling, including ...

Transcend Business Solutions

Be Seen First

Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Data Engineer will focus on raw data from these utility companies, running Python or Scala scripts ... in an analytic role. • MS Degree in management information systems, computer programming ...

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All JobsPython Analytics JobsPython Analytics Jobs in Watervliet, NY

Python Analytics information

See Watervliet, NY salary details

$12

$57

$84

How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics in Watervliet, NY is $57.53, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.

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.

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 a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What cities near Watervliet, NY are hiring for Python Analytics jobs? Cities near Watervliet, NY with the most Python Analytics job openings:
Python Analytics jobs near you
Google Advanced Cloud Generative AI Developer

Google Advanced Cloud Generative AI Developer

UNIVERSAL Technologies

Albany, NY • On-site

$55.75 - $76.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

UNIVERSAL Technologies, LLC is seeking two (2) experienced Google Advanced Cloud & Generative AI Developers for a 50% hybrid position in Albany, NY supporting the development, enhancement, and maintenance of enterprise conversational AI and virtual agent solutions. Qualified candidates must have experience developing Google Cloud Solutions, and programming in Python and JavaScript.

Active LinkedIn preferred, local candidates only. These consulting engagements offer the potential for extension and involve collaborating across multiple initiatives to support existing AI-powered chatbot applications while designing and implementing innovative cloud-based generative AI solutions. The ideal candidates will possess strong expertise in Google Cloud Platform (Google Cloud Platform), conversational AI technologies, generative AI, and full-stack application development using Python and JavaScript.

***Approximately 1-year contracts with the potential for ongoing renewals

WHO WE ARE

UNIVERSAL Technologies, LLC is a Women-Owned (M/WBE) IT solutions and consulting company focused on delivering enterprise systems and professional services across Application Development, Business Analysis, Project Management, Cyber Security, Data Analytics, Infrastructure, and Systems Architecture. We partner with public and private sector organizations to provide highly skilled technology professionals who drive business transformation and operational excellence.

WHAT WE OFFER

  • Competitive Compensation
  • Health, Dental, and Vision Benefits
  • Group Life Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA) and Flexible Spending Account (FSA)
  • Pre-Tax Transportation Benefits
  • Generous Paid Time Off and Holiday Package
  • Professional Development Opportunities

MANDATORY SKILLS / EXPERIENCE

  • Bachelor''s degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
  • Minimum five (5) years of professional experience developing enterprise cloud-based applications.
  • Minimum two (2) years of hands-on experience developing solutions within Google Cloud Platform (Google Cloud Platform).
  • Minimum two (2) years of experience developing chatbot or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience designing, developing, and implementing Generative AI applications, AI agents, and intelligent virtual assistants.
  • Strong knowledge of Retrieval-Augmented Generation (RAG) architecture, implementation strategies, and prompt engineering techniques.
  • Experience integrating Large Language Models (LLMs) into enterprise applications.
  • Strong proficiency developing backend services and APIs using Python.
  • Strong proficiency developing frontend and backend applications using JavaScript.
  • Experience designing and deploying cloud-native applications within Google Cloud Platform.
  • Experience developing and maintaining Infrastructure-as-Code (IaC) solutions using Terraform.
  • Experience utilizing Git, GitHub, GitLab, or similar source control platforms.
  • Experience supporting CI/CD pipelines, deployment automation, and modern DevOps practices.
  • Experience producing clean, scalable, maintainable, and well-documented code.
  • Experience participating in code reviews, software testing, deployment, and continuous improvement activities.
  • Experience supporting, troubleshooting, enhancing, and maintaining enterprise production applications.
  • Experience collaborating directly with business stakeholders, customers, and cross-functional technical teams to gather requirements and deliver technical solutions.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with a variety of Generative AI platforms, frameworks, and cloud AI services.
  • Experience with Machine Learning or AI model development.
  • Experience developing analytics and reporting solutions using Looker and LookML.
  • Familiarity with Agile software development methodologies and DevOps best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal, written, and interpersonal communication skills.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Customer-focused mindset with experience supporting business stakeholders and end users.
  • Ability to quickly learn new technologies and adapt to evolving project requirements.

SCOPE OF SERVICES

  • Design, develop, enhance, and maintain enterprise chatbot and virtual agent solutions utilizing Google Cloud Platform (Google Cloud Platform).
  • Build, implement, and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and intelligent automation solutions utilizing modern AI frameworks and cloud services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies to improve AI response quality and performance.
  • Develop and maintain backend services, APIs, and integrations using Python and JavaScript.
  • Support existing production applications by troubleshooting issues, implementing enhancements, and resolving technical defects.
  • Collaborate with business stakeholders, customers, and technical teams to gather requirements and deliver innovative cloud-based AI solutions.
  • Develop clean, scalable, maintainable, and well-documented application code following established development standards and best practices.
  • Participate in code reviews, testing, deployment, and continuous improvement initiatives to ensure software quality and reliability.
  • Develop and maintain infrastructure automation and CI/CD processes utilizing Terraform and Git-based repositories.
  • Contribute to the successful delivery of multiple concurrent conversational AI and cloud application initiatives while ensuring adherence to project timelines and quality standards.

UNIVERSAL Technologies, LLC is an Equal Opportunity Employer.

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