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Python Analytics Jobs in Kentucky (NOW HIRING)

Bluelight Consulting

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

Equus

IT Business Analyst

Louisville, KY · On-site

This role is a detail-oriented and analytical individual to join our dynamic team. This important ... Familiarity with programming languages like SQL or Python can be beneficial. * Problem-Solving:

Bluelight Consulting

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

Equus

IT Business Analyst (930811)

Louisville, KY

This role is a detail-oriented and analytical individual to join our dynamic team. This important ... Familiarity with programming languages like SQL or Python can be beneficial. * Problem-Solving:

Deloitte

Project - Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

Qualifications Required * 1+ year of experience building/enhancing data pipelines and curated datasets for analytics/downstream consumers. * 1+ year of hands-on experience with SQL and Python ...

New

Lantern

Strategy Analyst

Covington, KY · On-site

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

Lantern

Strategy Analyst

Bowling Green, KY · On-site

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

Lantern

Strategy Analyst

Frankfort, KY · On-site

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

Lantern

Strategy Analyst

Owensboro, KY · On-site

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

Lantern

Strategy Analyst

Louisville, KY · On-site

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

Lantern

Strategy Analyst

Lexington, KY · On-site

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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All JobsPython Analytics JobsPython Analytics Jobs in Kentucky

Python Analytics information

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 are popular job titles related to Python Analytics jobs in Kentucky? For Python Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Kentucky look for? The top searched job categories for Python Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Python Analytics jobs? Cities in Kentucky with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Kentucky as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Data Engineer (Azure) - Remote, Latin America

Data Engineer (Azure) - Remote, Latin America

Bluelight Consulting

On-site, Remote

$94K - $113K/yr

Full-time

Posted 16 days ago

Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering team, designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development professional who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued. By joining our client's growing software consultancy, you will have the opportunity to contribute to challenging, market-standing projects within a collaborative community that deeply values hard work, continuous learning, personal growth, and professional development.
Responsibilities
  • ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements.
  • Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and Compliance: Ensure data security and compliance with data governance and privacy standards.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
  • Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files.
  • Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data.
  • Knowledge of data integration best practices and tools.
  • Experience with version control systems, such as Git (Azure DevOps).
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
  • Familiarity with big data technologies, machine learning, and data analysis preferred.
  • Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.
Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You'll collaborate with modern technologies and work alongside some of the best professionals in the industry!
If you're eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote
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