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Data Analyst Python Sql Jobs (NOW HIRING)

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

Required Qualifications: • 2-3 years of experience in data analysis or machine learning roles. • Proficiency in Python and SQL for data manipulation and analysis. • Hands-on experience with ...

SQL Data Analyst

Burlington, MA · On-site

$100K - $110K/yr

SQL Data Analyst Department: Finance Employment Type: Permanent Location: Burlington, Massachusetts Compensation: $100,000 - $110,000 / year Description Highwire, a Veriforce company, is the ...

Solid working knowledge of SQL for querying and data analysis . Comfortable using Python for data manipulation or automation (nice to have, but useful) . Exposure to Power BI or Power Automate is ...

Data Science Analyst

Chicago, IL · Hybrid

$74K - $100K/yr

Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, & presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server. Asynchronous & live coding test. Background check w/ review of conviction ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

In this role, you will leverage your expertise in SQL, relational databases, Python, and data wrangling tools to extract, transform, and analyze data from various sources. Experience in using AI ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. * Understanding of security concepts and implementing Oracle data security. * Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Responsibilities : • Use statistical and programming tools such as Python, SQL, Power BI analyzing data and develop actionable insights • Constructively challenges in site agile teams to develop ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

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

As of Jun 19, 2026, the average yearly pay for data analyst python sql in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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.

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.

More about Data Analyst Python Sql jobs
What cities are hiring for Data Analyst Python Sql jobs? Cities with the most Data Analyst Python Sql job openings:
What states have the most Data Analyst Python Sql jobs? States with the most job openings for Data Analyst Python Sql jobs include:
Infographic showing various Data Analyst Python Sql job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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Posted 28 days ago


Job description

Description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.


Data Analyst Job Duties

Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.


Data Analyst Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements

Data Analyst Job Requirements

  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics