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Data Analyst Mid Level Jobs in Carson, CA (NOW HIRING)

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

Sr Data Analyst

Newport Beach, CA

$92K - $116K/yr

Expert level SQL and strong python programming skills, Strong hands-on experience with SQL for data analysis, validation, and troubleshooting data issues. * Experience building or supporting data ...

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 ... level * Comprehensive benefits package including paid time off, medical/dental/vision/ coverage ...

Sr.Data Analyst

Pasadena, CA · On-site

$93K - $118K/yr

Data Analyst position helps analyze business information and reporting needs. Access existing data ... Communicates results/recommendations to project sponsors, clients, and various senior level ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los ... Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that ...

Join our team and take your career to the next level with Catasys. We are committed to promoting from within. Excellent compensation As a Data Analyst, you will drive innovation, growth, and ...

Join our team and take your career to the next level with Catasys. We are committed to promoting from within. Excellent compensation As a Data Analyst, you will drive innovation, growth, and ...

Documents analysis, assumptions, methodology, and results clearly and at the appropriate level of ... Understanding of data transformation processes or ETL * Experience with cloud architecture (e.g.

Documents analysis, assumptions, methodology, and results clearly and at the appropriate level of ... Understanding of data transformation processes or ETL * Experience with cloud architecture (e.g.

Documents analysis, assumptions, methodology, and results clearly and at the appropriate level of ... Understanding of data transformation processes or ETL * Experience with cloud architecture (e.g.

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Able to reach above the shoulder level to work, must be able to bend, squat and sit, stand, stoop ...

Data Analyst, Merchandising

Cerritos, CA · On-site

$100K - $110K/yr

... the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible ... Main purpose of the Data Analyst, Editorial & Merchandising Strategy role: We're looking for a ...

Showing results 21-40

Data Analyst Mid Level information

See Carson, CA salary details

$35.6K

$86.4K

$142.2K

How much do data analyst mid level jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst mid level in Carson, CA is $86,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What are entry-level data analyst jobs called?

Entry-level data analyst jobs are often called Junior Data Analyst, Data Analyst Intern, or Data Analyst Trainee. These roles typically require basic skills in data visualization, Excel, and SQL, and may involve supporting senior analysts with data collection and reporting tasks.

How much do data analysts mid level make?

Mid-level data analysts typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. They often have 2-5 years of experience and proficiency in tools like SQL, Excel, and data visualization software.

What does a mid-level data analyst do?

A mid-level data analyst collects, processes, and analyzes data to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software, and may be responsible for creating reports and dashboards to communicate findings to stakeholders.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Carson, CA? The most popular types of Data Analyst jobs in Carson, CA are:
What job categories do people searching Data Analyst Mid Level jobs in Carson, CA look for? The top searched job categories for Data Analyst Mid Level jobs in Carson, CA are:
What cities near Carson, CA are hiring for Data Analyst Mid Level jobs? Cities near Carson, CA with the most Data Analyst Mid Level job openings:

Junior Data Analyst

Datafied

Anaheim, CA • On-site, Remote

Full-time

Re-posted 14 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.