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Data Analytics Computer Science Jobs in Santa Clara, CA

Motocol

Data analytics Architect

San Jose, CA

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDS

Data analytics architect

San Jose, CA · On-site

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDS

Data analytics architect

San Jose, CA

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

Qualifications Responsibilities : • Collaborate with business analysts and data scientists in ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Samsung SDS

Data analytics developer

San Jose, CA

We are seeking a developer to join the data analytics team with at least 5 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Albertsons

Manufacturing Analytics Manager

Pleasanton, CA · On-site

$95K - $123K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Food Science, or related field required Experience Level: * 7-10 plus years of experience in data analytics, business intelligence ...

Samsung SDSA

Data analytics developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 5 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Samsung SDS

Data Analytics Developer

San Jose, CA

We are seeking a developer to join the data analytics team with at least 12 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

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Showing results 1-20

All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Santa Clara, CA

Data Analytics Computer Science information

See Santa Clara, CA salary details

$28

$64

$110

How much do data analytics computer science jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data analytics computer science in Santa Clara, CA is $64.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $72.84 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What cities near Santa Clara, CA are hiring for Data Analytics Computer Science jobs?

Cities near Santa Clara, CA with the most Data Analytics Computer Science job openings:

Data Analytics Computer Science jobs near you

Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering

Critical Mass

San Jose, CA • On-site

$101K - $126K/yr

Full-time

PTO

Posted 14 days ago

Job description

Role Overview
We are seeking a Marketing Science Senior Analyst to help design, build, and scale modern marketing analytics solutions that connect marketing investments to business outcomes. This role sits at the intersection of data engineering, analytics, measurement, and business intelligence, with a strong focus on developing robust data foundations, scalable reporting ecosystems, and AI-enabled analytics capabilities.
You're equally comfortable building data pipelines, designing reporting frameworks, developing dashboards, and translating business questions into actionable insights. You will partner closely with Marketing Science, Media, Analytics, CRM, and Engineering teams to create scalable solutions that support enterprise B2B marketing measurement and decision-making.
Key Responsibilities
Data Engineering & Data Foundations
  • Design, build, and maintain scalable data pipelines integrating marketing, CRM, web analytics, partner, and business outcome data.
  • Develop unified data models that support cross-channel measurement and reporting.
  • Establish data governance, documentation, taxonomy standards, and metadata management processes.
  • Implement data quality controls, automated validation checks, and anomaly detection mechanisms.
  • Support the development of scalable reporting datasets and semantic layers consumed by dashboarding and analytics tools.
  • Collaborate with technical teams to optimize data architecture, performance, and reliability.

Analytics, Reporting & Dashboard Development
  • Design and develop dashboards and reporting solutions for executive, operational, and campaign-level stakeholders.
  • Translate business objectives into KPIs, reporting frameworks, and measurement solutions.
  • Build scalable datasets, calculated metrics, and reusable reporting structures.
  • Support self-service analytics initiatives by creating intuitive reporting experiences.
  • Deliver regular performance reporting, campaign analysis, and insight generation.
  • Support Quarterly Business Reviews (QBRs), campaign recaps, and stakeholder presentations.

Measurement & Marketing Analytics
  • Develop and maintain measurement frameworks aligned to marketing and business objectives.
  • Define KPIs across demand creation, engagement, progression, conversion, and pipeline contribution.
  • Establish performance baselines and benchmarking methodologies.
  • Conduct analytical deep dives to identify opportunities for optimization and growth.
  • Support advanced analytics initiatives including attribution, forecasting, trend analysis, audience segmentation, and marketing effectiveness studies.
  • Partner with stakeholders to ensure measurement approaches evolve alongside business priorities.

AI & Conversational Analytics
  • Support the adoption of AI-enabled analytics and reporting capabilities.
  • Develop automated insight generation and performance monitoring processes.
  • Implement anomaly detection and alerting frameworks to proactively identify issues and opportunities.
  • Enable conversational analytics experiences that allow stakeholders to interact with data through natural language.
  • Evaluate emerging technologies that improve reporting efficiency and decision-making.

Collaboration & Leadership
  • Partner with Marketing Science, Media, CRM, Analytics, and Engineering teams to align business requirements and technical solutions.
  • Present findings, insights, and recommendations to stakeholders in a clear and actionable manner.
  • Contribute to analytics best practices, governance standards, and documentation.

Experience
  • Bachelor's degree in Business Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.
  • 3-5 years of experience in Marketing Analytics, Business Intelligence, Data Analytics, Data Engineering, or Marketing Science.
  • Strong SQL skills and experience working with large and complex datasets.
  • Experience building and maintaining data pipelines, ETL/ELT processes, and data integration workflows.
  • Hands-on experience developing dashboards and business intelligence solutions.
  • Experience translating business needs into reporting requirements and analytical solutions.
  • Familiarity with cloud-based data platforms and modern data architectures.
  • Strong analytical, problem-solving, and stakeholder communication skills.

What we offer:
  • Maternity and parental leave extra days
  • Competitive benefits packages
  • Vacation, compassionate leave, sick days, and flex days
  • Access to online services for families and new parents
  • Diversity and Inclusion Board with 12 affinity groups
  • Internal learning and development programs
  • Enterprise-wide employee discounts
  • And more...

At Critical Mass, we value our employees and offer competitive compensation and benefits packages. If you're looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!
The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.
The ask stems from our want to:
  • Strengthen opportunity for continuous learning
  • Improve collaboration and team relationships.
  • Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.
Critical Mass is an equal opportunity employer.
Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.
If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx

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