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Data Analyst Python Sql Jobs in Anaheim, CA (NOW HIRING)

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Familiarity with SQL or other query languages. * Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with ...

K2 Space

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... Design and implement automated workflows using SQL, Python, Snowflake, and related tools to ...

CACI

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis ... Familiarity with SQL and database management systems. * Knowledge of statistical methods and ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. * Basic understanding of ...

Brookfield

Technical Data Analyst

Los Angeles, CA · On-site

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a ... SQL Server / Oracle/ Snowflake (experience with Python is new required but definitely considered a ...

Molina Healthcare

Senior Data Analyst

Long Beach, CA · On-site +1

$54K - $117K/yr

... SQL * Experience in Agile, Software Development Lifecycles. * Experience working in a healthcare ... Experience using technical tools such as Python To all current Molina employees: If you are ...

Molina Healthcare

Senior Data Analyst

Long Beach, CA

$93K - $118K/yr

... SQL * Experience in Agile, Software Development Lifecycles. * Experience working in a healthcare ... Experience using technical tools such as Python To all current Molina employees: If you are ...

thatgamecompany

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Extensive experience writing optimized SQL to build and analyze datasets and associated data ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

thatgamecompany

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Extensive experience writing optimized SQL to build and analyze datasets and associated data ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Anaheim, CA

Data Analyst Python Sql information

See Anaheim, CA salary details

$35.6K

$86.5K

$142.4K

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

As of Jul 15, 2026, the average yearly pay for data analyst python sql in Anaheim, CA is $86,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,500.00 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 are popular job titles related to Data Analyst Python Sql jobs in Anaheim, CA? For Data Analyst Python Sql jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Anaheim, CA look for? The top searched job categories for Data Analyst Python Sql jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Data Analyst Python Sql jobs? Cities near Anaheim, CA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Junior Data Analyst

Junior Data Analyst

Datafied

Anaheim, CA • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision-making. The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel.

Requirements

Key Responsibilities

  • Analyze data using statistical techniques and deliver clear, actionable reports.
  • Design, develop, and maintain databases and data collection systems to optimize data quality and efficiency.
  • Extract and clean data from various sources to ensure accuracy and consistency.
  • Identify trends, patterns, and correlations in complex datasets to support business initiatives.
  • Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability.
  • Collaborate with cross-functional teams to prioritize information needs and support business objectives.
  • Document and update standard operating procedures for data-related tasks and reporting processes.
  • Proactively identify opportunities for process improvements and automation.
  • Ensure timely and accurate completion of assigned tasks with a commitment to quality.

Required Qualifications

  • Proficiency in Microsoft Excel (including pivot tables, formulas, and macros).
  • Strong analytical and problem-solving skills.
  • Experience working with large datasets and multiple data sources.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.
  • Self-motivated with a strong sense of ownership and attention to detail.

Remote Work Requirements

  • Hard-wired ethernet connection.
  • Safe and secure workspace.
  • Ability to maintain confidentiality in a remote setting.

Preferred Qualifications

  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with SQL or other query languages.
  • Exposure to Python, R, or other data analysis tools.
  • Experience working in a fast-paced or cross-functional environment.
  • Experience working with Microsoft SharePoint and the broader Microsoft Office Suite (e.g., Outlook, Teams, Word, PowerPoint)

Key Competencies

  • Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Ability to manage multiple tasks and meet deadlines.
  • Analytical mindset with a proactive approach to problem-solving.

Benefits

  • Collaborative culture with a focus on innovation and continuous learning.
  • Competitive compensation and benefits package.

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