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Data Analyst Python Sql Jobs in Grand Rivers, KY

Data Analyst Python Sql information

See Grand Rivers, KY salary details

$29.6K

$71.9K

$118.3K

How much do data analyst python sql jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analyst python sql in Grand Rivers, KY is $71,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $84,400.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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?

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.

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 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.

Senior Analyst, Marketing Data Operations

Storyful

Princeton, KY • On-site

$80 - $110/hr

Other

Medical, Retirement

Posted 3 days ago

New


Job description

Job Description

Senior Analyst, Marketing Data Operations Location: Princeton Union Role - Yes

Job Description: The Marketing Operations team is seeking a business intelligence analyst to build, execute and support campaign analytics across multiple lines of businesses. This role will work closely with the internal marketing teams to create insights from which our stakeholders can make critical business and marketing decisions.

  • You Will Develop mastery of all Dow Jones data sources that we leverage in our analytics
  • Use Tableau/Snowflake to aggregate and analyze data collected from various sources across multiple marketing distribution channels
  • Achieve data quality, troubleshoot data validation, and see issues to resolution
  • Support data-driven marketing projects by evaluating large, complex datasets to inform marketing strategy
  • Partner with data engineering and product engineering colleagues to collect, cleanse and organize data consistently
  • Help marketing stakeholders establish benchmarks, inputs and critical metrics for new programs
  • Tell stories with data, educate stakeholders effectively, and instill confidence in recommendations, motivating others to act on them
  • Design and implement scalable Gold layer tables and views within the Customer data lake (Snowflake) to support complex data solutions
  • Manage multiple projects and dashboards simultaneously to meet objectives and deadlines
  • Execute projects and dashboards with minimal guidance and supervision
  • Leverage AI tools to automate data workflows and report generation
  • You Have 5+ years of experience in Data Analytics
  • Experience in visualization tools like Tableau, Looker, or similar
  • Experience manipulating data sets using R or Python and handling large scale, unstructured data
  • Extensive SQL experience for data extraction, manipulation, and analyses; including stored procedures, complex joins, creation of views, and database scripting
  • Experience with ETL processes and cloud-based tools (Snowflake)
  • Experience with AI tools (Copilot, Claude Code, OpenAI, etc.) for the purpose of improving productivity and building end-user facing analytical products
  • Tableau Desktop Certification Preferred
  • Experience with Microsoft Office, Google Suite
  • Strong eye for data visualization and design
  • Possession of excellent data gathering, analytical, and problem-solving skills
  • Possession of excellent oral and written communication skills
  • BA or BS degree or equivalent experience
  • Strong work ethic with good time management with ability to work with diverse teams across many stakeholders and departments

Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets

Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area: Dow Jones - Marketing Job Category: Marketing & Product Management Union Status: Union role Base Pay Range: 80,000.00 - 110,000.00 We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

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