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Junior Data Analytics Engineer Jobs in Riverside, CA

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives ... This role is focused on analytics and quantitative reasoning , not engineering. The ideal candidate ...

Junior Engineer

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

A multi-disciplinary architectural, engineering and construction firm is seeking a Junior Engineer ... Analyze data and prepare reports on building envelope performance * Assist in the design of ...

Showing results 21-40

Junior Data Analytics Engineer information

See Riverside, CA salary details

$34.9K

$74.9K

$114.2K

How much do junior data analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior data analytics engineer in Riverside, CA is $74,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $83,500.00 per year, depending on experience, location, and employer.

What is a junior data analytics engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a junior data analytics engineer?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a junior data analytics engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Riverside, CA?

The most popular types of Data Analytics Engineer jobs in Riverside, CA are:

What are popular job titles related to Junior Data Analytics Engineer jobs in Riverside, CA?

For Junior Data Analytics Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Junior Data Analytics Engineer jobs in Riverside, CA look for?

The top searched job categories for Junior Data Analytics Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Junior Data Analytics Engineer jobs?

Cities near Riverside, CA with the most Junior Data Analytics Engineer job openings:

Infographic showing various Junior Data Analytics Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $74,906 per year, or $36 per hour.

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

About the Role

We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions.

The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise.

Let's talk about some of the key responsibilities of the role:

  • Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company's commercial and corporate priorities ensuring data capabilities as a competitive differentiator.
  • Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations - translating complex data opportunities into clear business value.
  • Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption
  • Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes.
  • Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization's advancing analytics and AI workloads.
  • Ensure robust data governance, security, privacy, retention and compliance standards - working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations.
  • Direct the strategy and governance for onboarding complex life sciences data ecosystems-including commercial, claims, provider (HCP), and third-party logistics (3PL) streams-into a unified data landscape.
  • Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability.
  • Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems.
  • Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence-ensuring delivery of high-impact executive insights and robust self-service reporting frameworks.
  • Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards.
  • Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners.
  • Lead and manage IT budgets for all enterprise data and analytics spend.
  • Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities.
  • Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence.

Factors for Success:

  • Bachelor's in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus.
  • 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences.
  • Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners.
  • Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11).
  • Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire.
  • Experience integrating life sciences CRM and commercial applications - such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud - with enterprise data platforms.
  • Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms.
  • Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences.
  • Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants.
  • Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project.
  • A good team player with experience in managing and developing diverse, distributed teams of data professionals.
  • Tarsus Leadership Competencies:
  • Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders' decision-making capability, and creating systems that support performance and growth.
  • Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure.
  • Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders.
  • Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value.
  • Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience.

A Few Other Details Worth Mentioning:

  • The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered.
  • We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
  • This position reports directly to VP, Digital & IT
  • Some travel may be required - up to 10%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

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