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

4pconsultinginc

Data Analytics Analyst I

Birmingham, AL · On-site

... 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 ...

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

... 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 ...

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

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. • ...

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

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. • ...

4pconsultinginc

Data Analyst II

Birmingham, AL · On-site

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

Apex Systems

Data Analyst

Birmingham, AL · On-site

Experience with Power BI, Tableau, SQL, or other reporting and analytics tools. * Exposure to data governance, data quality, or metadata management concepts. * Experience working with large datasets ...

New

4pconsultinginc

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 ...

PNC Bank

Data Engineer Sr

Birmingham, AL · On-site

$107K - $128K/yr

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), Spark SQL, Structured Query Language ...

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 ...

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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Oneonta, AL

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 Jul 14, 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.

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 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 Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 17 days ago

Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation