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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 ...

Brookfield

Sr P&C Data Scientist

Albany, NY · On-site

Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R) * Establish and uphold high standards for data quality ...

GCOM

HBITS-02-11172

Troy, NY · On-site

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 ...

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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 Aug 6, 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?

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
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

ETL Developer

Texas State Library and Archives Commision

Albany, NY • On-site

$50.50 - $66.25/hr

Full-time

Re-posted 4 days ago

Job description

Title: ETL Developer
Location: Albany, NY (Hybrid)
Job Type : Contract
Job Description :
• 7 Years experience in Designing and implementing scalable cloud-based web applications using AWS.
• 7 years experience with analysis of complex business rules, workflow processes, and re-engineering business processes.
• 7 years experience with data processing and analysis using Python on Linux platform.
• 6 Years experience writing transformations with Informatica Data Quality (IDQ) or similar ETL tool.
• 6 Years experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc.) containing large amounts of data (greater than 10 million rows).
• 6 Years experience authoring a complete set of technical documentation
  • Bachelor's degree or higher in Computer Science or Information Technology from an accredited institution.

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