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Data Analyst Python Sql Jobs in Kentucky (NOW HIRING)

RelaDyne

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

We are seeking a Senior Data Analyst to design and maintain scalable data solutions that support data-driven decision-making across the organization. This role focuses on advanced SQL development and ...

Vaco by Highspring

Data Analyst

Lexington, KY · On-site

We are currently seeking a Data Analyst to support a growing team. Responsible for developing and ... Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex ...

Athari

Data Scientist

Lexington, KY · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

Danaher

Digital Analyst Internships

Owensboro, KY · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Louisville, KY · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Bowling Green, KY · On-site

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Covington, KY · On-site

$95K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Frankfort, KY · On-site

$85K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Lexington, KY · On-site

$97K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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 ...

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 ... data, reporting, analytics or BI support role (or equivalent practical experience). * Working ...

Insight Global

Process Improvement Analyst

Erlanger, KY · On-site

$44 - $56/hr

Basic to intermediate SQL for data extraction and manipulation * Ability to work in a fast-paced ... Experience with data tools such as Snowflake, Power BI, Tableau, Python, or similar analytics ...

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Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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
Senior Data Analyst (SQL / SAP)

Senior Data Analyst (SQL / SAP)

RelaDyne

Hebron, KY • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

RelaDyne rating

7.2

Company rating: 7.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Senior Data Analyst
Location: Hebron, KY (Onsite)

About RelaDyne

RelaDyne is the nation's leading automotive, industrial, and commercial lubricants provider and a trusted partner for reliability services. We are committed to innovation, operational excellence, and delivering value to our customers.

We are seeking a Senior Data Analyst to design and maintain scalable data solutions that support data-driven decision-making across the organization. This role focuses on advanced SQL development and SAP data modeling, transforming ERP data into actionable insights.

Key Responsibilities

  • Develop SQL queries, stored procedures, and ETL processes to extract and transform data from SAP and enterprise systems

  • Utilize SAP BAPIs, RFCs, and other integration methods to access ERP data

  • Design and maintain data models and data warehouse structures for reporting and analytics

  • Partner with business stakeholders to gather requirements and deliver data-driven solutions

  • Support business intelligence and reporting tools, including Power BI

  • Ensure data quality, performance, and governance compliance

  • Document ETL processes, data models, and analytics solutions

Requirements

  • Bachelor's degree in Technology, Data Analytics, Business, or related field

  • 5+ years of experience in data analysis, SQL development, or data engineering

  • Advanced SQL skills (complex queries, performance tuning, stored procedures)

  • Experience building ETL pipelines and data models

  • Experience supporting business intelligence or data warehouse environments

Preferred

  • Experience with Microsoft SQL Server or Oracle

  • Experience with Power BI, Tableau, or other BI tools
  • Experience working with SAP data, including modules such as SD, MM, or FI

Why RelaDyne?

  • Competitive pay

  • Medical, dental, vision, life insurance

  • 401(k) with company match + HSA

  • Generous PTO

  • Career growth opportunities

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Equal Opportunity Employer/Disability/Veterans

RelaDyne and its affiliates is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, sex, age, gender identity, sexual orientation or identity, genetic information, status as a protected veteran, status We are committed to accessibility. If you need assistance completing the application process or would like to request an alternative method of applying, please contact us.

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