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Entry Level Analytics Engineer Jobs in California

Entry-Level Engineer

Port Hueneme, CA ยท On-site

$52K - $82K/yr

Description: Entry-Level Engineer Port Hueneme, CA About Us: JSL Technologies, Inc. (JSL) is a ... The candidate will also perform the following tasks: ยท Perform engineering analysis, assessments ...

Entry-Level Engineer

Port Hueneme, CA ยท On-site

$52K - $82K/yr

Entry-Level Engineer Port Hueneme, CA About Us: JSL Technologies, Inc. (JSL) is a certified Small ... The candidate will also perform the following tasks: โ€ข Perform engineering analysis, assessments ...

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Entry Level Analytics Engineer information

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 are the most commonly searched types of Analytics Engineer jobs in California? The most popular types of Analytics Engineer jobs in California are:
What are popular job titles related to Entry Level Analytics Engineer jobs in California? For Entry Level Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in California look for? The top searched job categories for Entry Level Analytics Engineer jobs in California are:
What cities in California are hiring for Entry Level Analytics Engineer jobs? Cities in California with the most Entry Level Analytics Engineer job openings:
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

San Francisco, CA โ€ข On-site

Other

Posted 13 days ago


Job description

Entry Level Machine Learning Engineer

SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche. As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career. SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc.

Presently, we are actively looking for an Entry Level Machine Learning Engineer with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java.

Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry. We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves.

Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement.

Candidates who Lack Experience Have had a break in careers Lack Technical Competency candidates who want to get employed and make a career in the Tech Industry

REQUIRED SKILLS For Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills

For data Science/Machine learning REQUIRED SKILLS

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, Time series analysis

Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers. Clients hire candidates with the right technical skills which they need and reject candidates who lack the required technical skills.

No third party candidates or c2c candidates Please apply to the posting No phone calls please. Shortlisted candidates would be reached out