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Python Analytics Jobs in Watervliet, NY (NOW HIRING)

Data Analyst 2 - VID 218847

Albany, NY · On-site

$86K - $109K/yr

... Data Analytics team to develop data mining structures for managing data collection. • May ... Python, R, etc.). • Experience with data warehousing, data lakes, and data pipelines. • ...

Python, JavaScript * Infrastructure as Code: Terraform * Version Control: Git, GitHub, GitLab * Analytics & Reporting: Looker, LookML * Development Practices: CI/CD, Code Reviews, Testing ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a ... with Python is new required but definitely considered a plus) * AI tools, such as Co-Pilot or ...

As a result of these efforts, we have been recognized by Staffing Industry Analysts (SIA) as the ... Experience with Django Python web framework * Experience with AngularJs JavaScript web framework

Strong knowledge of data analytics tools and programming languages including, but not limited to: o Python. o R. o SQL. o Equivalent technologies. Demonstrated experience establishing and leading a ...

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

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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 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:

$60K - $145K/yr

Full-time

Posted 2 days ago


Job description

About Us

NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We’re independent and vendor-neutral, so we have our clients’ best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset.

Join Our Talent Community

Interested in future data analyst roles? We’re always eager to connect with talented professionals. This posting is intended to identify and engage potential candidates in advance of hiring needs. Applications will be reviewed regularly, and qualified candidates will be contacted when a role becomes available.

At NYSTEC, consultants at all levels contribute to data analysis work across a wide range of client projects. In this type of role, you’ll work closely with stakeholders to identify opportunities for change in how their organization operates and will help design and deliver solutions that drive meaningful impact. This includes critical thinking and problem-solving, as well as understanding data analysis.

Key Responsibilities
  • Develop and maintain reports and dashboards for internal teams, clients, and stakeholders.
  • Collaborate with team members to analyze and collect data.
  • Perform data quality verification checks to ensure the accuracy of reports and data.
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Manage data and effectively document data processes.
  • Collaborate with team members to solve complex problems using data.
Qualifications
  • Analytical skills and ability to interpret data trends.
  • Ability to communicate insights clearly to non-technical stakeholders.
  • Experience preparing reports or dashboards for business use.
  • Attention to detail and accuracy in data review.
  • Experience using and analyzing information or data to inform decision-making.
  • Ability to develop relationships with stakeholders and to understand their needs through excellent listening and effective written and verbal communication.
  • Proficiency with the Microsoft Office suite of products, with advanced Excel and Word skills.

Advanced Qualifications

  • Proficiency in structured query language (SQL) for querying and joining datasets.
  • Experience with business intelligence (BI) and visualization tools (e.g., Tableau, Power BI).
  • Knowledge of Python, R, or other programming languages for analysis.
  • Familiarity with databases, data warehouses, or cloud platforms (e.g., Snowflake, AWS, Azure).
  • Understanding of data governance, data quality, or compliance frameworks.

Data analysts span a variety of consultancy levels based on experience, skills, and project needs. Anticipated opportunities may fall within a salary range of $60,407-$145,271 per year. When determining compensation, we analyze and carefully consider several factors, including position level, skill set, experience, location, and job-related qualifications.

It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact recruitment@nystec.com if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.

Learn more about NYSTEC by visiting nystec.com.