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Data Analyst Python Sql Jobs in Kentucky (NOW HIRING)

360care

Data & Reporting Analyst

Louisville, KY

You will work in a Microsoft SQL Server environment and support recurring activities while also ... Qualifications * 1-3 years of experience in a data, reporting, analytics or BI support role (or ...

360care

Data & Reporting Analyst

Louisville, KY · On-site

You will work in a Microsoft SQL Server environment and support recurring activities while also ... Qualifications * 1-3 years of experience in a data, reporting, analytics or BI support role (or ...

Amerita

Pharmacy Margin & Unit Econ Manager

Louisville, KY · On-site

$130K/yr

Defines business requirements for SQL-based margin analytics, backend data models, and automated reporting processes * Partners with the Sr. Finance Data Analyst to build scalable reporting logic for ...

PNC Bank

Fraud Model Analyst

Louisville, KY · On-site

$58K - $134K/yr

Supports the team with analytical tasks on vast amounts of structured and unstructured data to ... Python (Programming Language), R Programming, Structured Query Language (SQL) Competencies Data ...

Bluelight Consulting

$94K - $113K/yr

... 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 ...

Bluelight Consulting

$94K - $113K/yr

... 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 ...

BrightSpring

Senior Data Modeler

Louisville, KY · Remote

Perform advanced SQL, PySpark, or Python optimization to maximize query speed and dataset availability for analytics and downstream applications. * Oversee data lake and data warehouse architecture ...

FocusKPI

Marketing Operations Analyst

Bowling Green, KY · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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Data Analyst Python Sql information

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Kentucky? For Data Analyst Python Sql jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Kentucky look for? The top searched job categories for Data Analyst Python Sql jobs in Kentucky are:
What cities in Kentucky are hiring for Data Analyst Python Sql jobs? Cities in Kentucky with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Data & Reporting Analyst

Data & Reporting Analyst

360care

Louisville, KY

Other

Posted 19 days ago

Job description

Overview

This position is responsible for keeping data clean, reports reliable, and stake holders informed.  This role is ideal for someone who enjoys the challenge of problem-solving, has the ability to run and maintain SQL scripts, and steadily improve data quality and reporting operations.  You will work in a Microsoft SQL Server environment and support recurring activities while also assisting with report adjustments and ad hoc requests.  This role directly supports the accuracy and reliability of reporting used by Operations and leadership - improving decision-making, and ensuring stakeholders have what they need.

Responsibilities
  • Execute ongoing data maintenance requests using established scripts and documented processes (e.g., adding/updating reference data, maintaining facility/location identifiers, updating contact and provider-related information).
  • Perform recurring data refresh activities and support routine uploads/ingestion of externally sourced datasets into internal repositories (including monthly refresh-type processes).
  • Monitor basic data pipeline/job health, assist with re-runs or troubleshooting, and escalate patterns or root-cause leads to senior team members/engineering as needed.
  • Support report administration activities such as validating access, assisting with report moves/migrations between environments, and verifying subscriptions after changes.
  • Implement straightforward report changes (new fields/columns, filter logic tweaks, minor layout adjustments), then test and coordinate stakeholder review.
  • Respond to day-to-day questions from Operations/Finance/Leaders by pulling datasets or pointing users to the right outputs, with attention to definitions and data lineage.
  • Identify and help retire deprecated reports, processes, or data objects to reduce noise, processing overhead and support burden.
  • Document repeatable procedures (runbooks/checklists) for recurring work such as subscription updates, monthly refreshes, and standard data maintenance requests.
  • Actively supports and complies with all components of the compliance program, including, but not limited to, completion of training and reporting of suspected violations of law and Company policy.
  • Maintains confidentiality of all information; abides with HIPAA and PHI guidelines at all times.
  • Reacts positively to change and performs other duties as assigned.
Qualifications
  • 1-3 years of experience in a data, reporting, analytics or BI support role (or equivalent practical experience).
  • Working knowledge of SQL (writing queries, validating results, updating reference data carefully, basic troubleshooting).
  • Experience supporting reporting tools such as SSRS (or similar scheduled/paginated reporting tools) including subscription/recipient management.
  • Strong communication and follow-through - able to translate a request into clear next steps, provide updates, and document outcomes.
  • Experience with Power BI (datasets, refresh, basic modeling) or exposure to BI table structures.
  • Familiarity with ETL concepts and scheduled job monitoring (SQL Agent or equivalent).
  • Experience working in regulated or operationally complex environments (healthcare/insurance is a plus).
  • Excellent interpersonal, oral, and written communication skills.
  • Must be detail oriented and self-motivated.
  • Excellent customer service skills.
  • Anticipate needs in a proactive manner to increase satisfaction.
  • The Company reserves the right to modify any bonus/commission structure prospectively at any time for any reason. A bonus/commission is not considered earned until it is paid, and the employee remains with the Company at the time of payment
  • Take ownership of job responsibilities by initiating prompt and appropriate follow up and/or action to problems.

We will only employ those who are legally authorized to work in the United States. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen.

We are an equal opportunity employer.

Employment Type: OTHER

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