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Data Analyst Python Sql Jobs in Oneonta, AL (NOW HIRING)

4P Consulting Inc

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

The ideal candidate will have a strong background in data management, SQL, Python, and data ... Perform data analysis to support decision-making and provide insights that drive business ...

ITAC Solutions

Data Scientist

Birmingham, AL · On-site

$90K - $110K/yr

Proficiency in Python, R, and SQL for data analysis * Experience working with financial data and KPIs * Ability to present and defend insights to senior leadership * Experience leveraging AI tools ...

PS Logistics

SQL Developer / BI Analyst

Birmingham, AL · On-site

Use data-driven approaches to identify trends, patterns, and business opportunities. * Design and ... A successful SQL Developer and BI Analyst must be able to effectively manage multiple tasks ...

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... Python based AI/ML solutions. 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSI ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Expert ... Profound understanding of databases and data manipulation using SQL. Outstanding problem-solving ...

FocusKPI

Marketing Operations Analyst

Birmingham, AL · 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

4P Consulting Inc

Data Engineer 3 4P/155

Birmingham, AL · On-site

$107K - $128K/yr

... SQL queries and Python. * Proven experience with Power BI and Oracle databases. * Strong ... Perform data visualization and analysis to support business decisions. * Stay up-to-date with the ...

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Data Analyst Python Sql information

See Oneonta, AL salary details

$27.2K

$66.1K

$108.8K

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

As of Jun 4, 2026, the average yearly pay for data analyst python sql in Oneonta, AL is $66,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $77,600.00 per year, depending on experience, location, and employer.

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.

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 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 cities near Oneonta, AL are hiring for Data Analyst Python Sql jobs? Cities near Oneonta, AL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Data Engineer

4P Consulting Inc

Birmingham, AL • On-site

$107K - $128K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data management, SQL, Python, and data visualization tools like Power BI. With 5+ years of experience working with data in an enterprise environment, you will design, develop, and maintain scalable data pipelines and systems. This role involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions.

Qualifications:

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience:
    • 5+ years of experience working with data in an enterprise environment.
    • 5+ years of hands-on experience with SQL queries and Python.
    • Proven experience with Power BI and Oracle databases.
    • Strong understanding of data modeling, ETL processes, and data warehousing.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills, with the ability to work independently and as part of a team.

Key Responsibilities:

  • Design & Develop Scalable Data Pipelines: Develop and maintain efficient, scalable data pipelines and systems to handle large datasets.
  • Collaborate with Cross-functional Teams: Work closely with teams across the organization to understand data requirements and provide tailored solutions.
  • SQL Query Optimization: Optimize and troubleshoot SQL queries for performance, ensuring efficiency and effectiveness.
  • ETL Process Development: Design and maintain ETL processes using Python to extract, transform, and load data from various sources.
  • Data Integration & Management: Integrate and manage data from multiple sources, including Oracle databases, to ensure seamless data flow.
  • Report & Dashboard Creation: Create and maintain interactive reports and dashboards using Power BI to provide actionable insights.
  • Ensure Data Quality & Security: Monitor data integrity, quality, and security, ensuring that all data meets the company's standards.
  • Data Analysis & Support for Business Decisions: Perform data analysis to support decision-making and provide insights that drive business strategies.
  • Stay Updated with Industry Trends: Keep up-to-date with the latest industry trends, technologies, and best practices to continuously improve data solutions.

Why Join Us?

  • Impactful Work: Be part of a team that values data-driven decision-making and supports innovation.
  • Career Growth: Opportunities for professional development and career progression in a fast-paced, dynamic environment.
  • Collaborative Culture: Work in a supportive and collaborative team atmosphere with access to cutting-edge tools and technologies.

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