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Python Analytics Jobs in Watervliet, NY (NOW HIRING)

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 ...

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 ...

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

... 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 ...

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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 ...

... Python for complex data analysis and modeling - Excelling in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging ...

... Java, Python, Matlab, R, and / or VBA Ability to work effectively in a matrix environment Superior analytical skills, with strong desire to improve processes and performance Ability to work ...

Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus

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Python Analytics information

See Watervliet, NY salary details

$12

$57

$84

How much do python analytics jobs pay per hour?

As of Jun 11, 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 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 Watervliet, NY are hiring for Python Analytics jobs? Cities near Watervliet, NY with the most Python Analytics job openings:
Solutions Engineer, Remote

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement:

  • Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
  • Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
  • Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
  • Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise:

  • Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
  • 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 expertise.

Cross-Functional Collaboration:

  • Act as the voice of the customer by representing feedback to Product and Engineering teams.
  • Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
  • Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

  • B.S or B.A degree in Engineering, Business administration or related field required.
  • 3+ years of experience in a solutions engineering, sales engineering, or similar role.
  • Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
  • Strong analytical skills with expertise in Excel and statistical analysis.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Solution-oriented mindset, motivated by creating practical solutions to complex problems.
  • Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
  • Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
  • Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.