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

Applicants should have 5-10 years of experience in data analytics, proficiency in SQL and ETL processes, along with knowledge of Power BI and Python. This position offers a hybrid work arrangement.

Applicants should have 5-10 years of experience in data analytics, proficiency in SQL and ETL processes, along with knowledge of Power BI and Python. This position offers a hybrid work arrangement.

... Analyst I with 1-3 years of experience to support data analysis, reporting, data integration, and ... Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights. * Build ...

Applicants should have 5-10 years of experience in data analytics, proficiency in SQL and ETL processes, along with knowledge of Power BI and Python. This position offers a hybrid work arrangement ...

Applicants should have 5-10 years of experience in data analytics, proficiency in SQL and ETL processes, along with knowledge of Power BI and Python. This position offers a hybrid work arrangement ...

... Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power Job Summary We ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala ... Experience with SQL and relational databases is highly preferred. * Knowledge of schema design ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... SQL skills required. • Proficiency in Python, R, or other statistics platform preferred. • ...

Proficiency in data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms) * Familiarity with database management concepts * Strong attention to detail and data accuracy

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

This role combines analytical thinking, technical capability, and visual storytelling to transform ... Python * SQL * R or Java * pandas * dbt * Git * Tableau * Power BI * Microsoft Excel Familiarity ...

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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 Aug 31, 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 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.

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

Birmingham, AL • Hybrid

4P Consulting Inc
Industrial Automation Equipment Manufacturing • 1 - 10 employees

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

A consulting firm is seeking a Data Analytics Analyst (Level 3) to develop analytics solutions in Birmingham, AL. This role involves analyzing data, developing reports, and collaborating with teams to drive insights. Applicants should have 5-10 years of experience in data analytics, proficiency in SQL and ETL processes, along with knowledge of Power BI and Python. This position offers a hybrid work arrangement.