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Data Analytics Associate Jobs in Goleta, CA (NOW HIRING)

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Data Analytics Associate information

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$3.5K

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How much do data analytics associate jobs pay per month?

As of Jun 14, 2026, the average monthly pay for data analytics associate in Goleta, CA is $6,787.33, according to ZipRecruiter salary data. Most workers in this role earn between $6,158.33 and $7,241.67 per month, depending on experience, location, and employer.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting insights, making strategic decisions, and managing complex datasets. The role of a Data Analytics Associate involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What does the data analysis associate do?

A Data Analytics Associate collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports, often working under the guidance of senior analysts or managers. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analytics jobs in Goleta, CA? The most popular types of Data Analytics jobs in Goleta, CA are:
What cities near Goleta, CA are hiring for Data Analytics Associate jobs? Cities near Goleta, CA with the most Data Analytics Associate job openings:
Claims Encounter Data Analyst

Claims Encounter Data Analyst

CenCal Health

Santa Barbara, CA โ€ข On-site, Remote

$78K - $113K/yr

Full-time

Posted 4 days ago


Job description

Salary Range: $78,454.00 - $113,758.00
The Encounter Data Quality Analyst is responsible for providing analytical and reporting support to the Claims Operations, Outsourced Vendors and IT support team related to the processing and delivery of encounter data. Validates and analyzes reports and logs related to the processing of 837 transactions to ensure compliance, accuracy, completion and timeliness, as well as ongoing process improvement. Position reports to the Associate Director of Claims.
Duties and Responsibilities
  • Adhere to regulatory and internal guidelines in conjunction with CenCal Health policies and procedures as they apply to both internal and external encounter reporting
  • Perform data analysis of submitted encounter data files from external entities and produce regular reports of findings
  • Work in conjunction with outside vendors on claim file submission rejections to assure corrections are made so that clean data is being submitted prior to each load into the Caradigm system
  • Monitor and analyze encounter data reporting of encounter data
  • Maintain a thorough knowledge of CenCal Healths encounter data reporting requirements
  • Analyze, interpret, and summarize encounter data for development of solutions for reducing and mitigating errors
  • Analyze existing and future encounter submission regulatory guidelines to ensure compliance with system editing logic
  • Work in conjunction with the IT department on encounter data issues and process development related to successful encounter management
  • Work in conjunction with outside vendors on encounter data issues and develop a process to assure quality data is being provided
  • Work cooperatively on ongoing Encounter Data Process Improvement projects with other CenCal Health departments as well as external vendors and Provider Community
  • Maintain spreadsheets for reporting of encounter related projects both within the department as well as company wide
  • Recommend corrective action to resolve processing and data issues
  • Perform other duties as assigned

Skills/Knowledge/Abilities
  • Experience with EDI 837 transactions for claims and encounters
  • Technical knowledge related to claims/encounter data including understanding of coding systems (e.g. CPT/HCPCS, ICD-9/10, NDC)
  • Ability to diagnose problems with EDI processes by working effectively with internal departments and third parties
  • Assist in the formulation of policies and procedures related to the encounter data process; understand and interpret policies, procedures and regulations
  • Proficient use of MS Access, Excel and Word and/or SQL
  • Knowledge of data analysis methods used in the encounter/claim submission process
  • Knowledge of Medi-Cal program guidelines, regulations and data reporting requirements
  • Analytical and problem solving skills
  • Excellent verbal and written communication skills
  • Team player who builds effective working relationships
  • Ability to work independently
  • Ability to attend meetings and participate in small teams effectively
  • Detail oriented

Education and Experience
  • Bachelor's Degree in Health Care Administration, Business Administration or related fields preferred
  • Two Three (2-3) years in data analysis in a managed health care environment; claims experience is highly desirable
  • Any combination of education, training and experience that would provide the knowledge and abilities listed
  • Experience in healthcare system configuration
  • Experience in analysis
  • Must be proficient in the MS Suite of software and have intermediate-advances skills in Excel
  • Familiarity with database systems
  • Must be experience in Oracle database systems