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Entry Level Analytics Engineer Jobs in Santa Maria, CA

FDSM Tech C

Lompoc, CA · On-site

$41.07/hr

This is an entry level position. The FDSM Tech C is knowledgeable of diagnostics equipment, hand ... Uses drawings and schematics to analyze and isolate malfunctions. * Modifies equipment for specific ...

Entry Level Analytics Engineer information

See Santa Maria, CA salary details

$41.5K

$88.5K

$146.1K

How much do entry level analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level analytics engineer in Santa Maria, CA is $88,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What are the key skills and qualifications needed to thrive as an entry level analytics engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What cities near Santa Maria, CA are hiring for Entry Level Analytics Engineer jobs? Cities near Santa Maria, CA with the most Entry Level Analytics Engineer job openings:
Infographic showing various Entry Level Analytics Engineer job openings in Santa Maria, CA as of June 2026, with employment types broken down into 2% As Needed, 51% Full Time, and 47% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $88,543 per year, or $42.6 per hour.

Copy of Multi Media Sales Executive

AGM California Inc

Santa Maria, CA • On-site

Full-time

Re-posted 26 days ago


Job description

Description:

As a Marketing Consultant for our radio station/network, you will work closely with our leadership team to design, implement, and manage marketing campaigns that increase station listenership, enhance brand image, and drive sponsorship and advertising revenue. You will utilize your deep understanding of radio programming, media trends, and audience behavior to create innovative strategies that engage listeners and attract advertisers.

Key Responsibilities:

Marketing Strategy Development: Design and implement effective marketing strategies and plans that align with the station’s objectives, including growing audience numbers, enhancing brand awareness, and boosting advertising sales.

Audience Growth: Analyze and understand listener demographics and behaviors to create targeted campaigns that attract new listeners and retain existing ones.

Brand Management: Develop and manage the station's brand, ensuring consistency across all marketing materials, promotional efforts, and communications.

Advertising and Sponsorship: Work with the sales team to develop compelling marketing materials and promotional campaigns for advertisers and sponsors. Assist in identifying new business opportunities and maximizing revenue through effective marketing strategies.

Digital Marketing: Leverage digital platforms (social media, websites, mobile apps) to promote the radio station and engage with the audience. Create strategies for growing online presence and improving listener interaction through digital channels.

Event Promotion: Coordinate promotional events, live broadcasts, contests, and giveaways that engage audiences both on-air and in person, driving participation and building community relationships.

Analytics & Reporting: Regularly track and measure the success of marketing campaigns using analytics tools, providing recommendations for continuous improvement. Report on key performance indicators (KPIs) such as audience growth, brand awareness, and revenue metrics.

Collaboration & Communication: Collaborate with on-air talent, programming teams, sales departments, and other stakeholders to ensure alignment between marketing efforts and station programming or promotions.

Requirements:

Qualifications:

  • Experience: At least 2 years of experience preferred in radio broadcasting, digital media, or sales, with a proven track record in prospecting and closing B2B sales.Entry-level candidates may be considered as well.
  • Sales Expertise: Strong experience in sales prospecting, particularly with small-medium businesses, and the ability to design and present customized advertising packages.
  • Industry Knowledge: Deep understanding of both traditional radio broadcasting and digital media platforms, including social media marketing, SEO, SEM,email marketing, and online advertising.
  • Digital Marketing Skills: Experience with digital advertising campaigns,including social media, content marketing, and website management. Knowledge of online ad platforms (e.g., Google Ads, Facebook Ads) is a plus.
  • Creative and Analytical Thinking: Ability to develop creative, multi-platform campaigns while analyzing data to refine strategies and maximize results.
  • Communication Skills: Excellent interpersonal, written, and verbal communication skills, with the ability to effectively pitch advertising solutions to local businesses and collaborate with internal teams.
  • Project Management: Strong organizational and time-management skills, with the ability to manage multiple projects and meet deadlines.

Preferred Skills:

  • Radio Automation Tools: Familiarity with radio programming and automation systems.
  • Business Development: Experience in building and nurturing relationships with local businesses and key community stakeholders.
  • SEO/SEM Knowledge: Understanding of search engine optimization (SEO) and search engine marketing (SEM) to boost online visibility.