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Computational Data Analytics Jobs (NOW HIRING)

Design and execute complex analyses using statistical and computational methods to evaluate e ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

... computational methods Strong skills in communicating and presenting data-derived insights to non ... Analytics Uses cases. 2. Processing, cleansing, and verifying the integrity of data used for ...

Computational Biologist Minimum Salary US-MA-Worcester Job Location 1 week ago(7/10/2026 9:17 AM ... Experience with integrative or multi-omic data analysis and familiarity with single-cell and ...

Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

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Computational Data Analytics information

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How much do computational data analytics jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for computational data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is computational data analysis?

Computational data analysis is a process used in data analytics roles to examine large datasets using algorithms, statistical models, and programming tools like Python or R. It involves cleaning, processing, and interpreting data to extract meaningful insights and support decision-making.

Which is better, DS or CS?

For a Computational Data Analytics role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data management are essential in both fields.

How does a Computational Data Analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

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

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

Is 40 too late for data science?

Computational Data Analytics professionals can enter the field at any age, as success depends on skills, experience, and continuous learning. Many data scientists start or transition into the field later in life by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill development and adaptability.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Analytics Executive typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and often advanced degrees or certifications.
More about Computational Data Analytics jobs
What cities are hiring for Computational Data Analytics jobs? Cities with the most Computational Data Analytics job openings:
What states have the most Computational Data Analytics jobs? States with the most job openings for Computational Data Analytics jobs include:
Infographic showing various Computational Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Manager, Data Analytics

Manager, Data Analytics

Mattel

El Segundo, CA

Full-time

Re-posted 4 days ago


Mattel rating

8.4

Company rating: 8.4 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Company Description

CREATIVITY IS OUR SUPERPOWER. It's our heritage and it's also our future. Because we don't just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

The Team:

Mattel's Direct-to-Consumer (DTC) and Ecommerce organization is a key driver of Mattel's digital transformation and global growth strategy. Through experiences like Mattel Creations, American Girl, and brand-owned ecommerce platforms, the team creates engaging digital destinations where consumers can explore, connect with, and purchase directly from our brands.

The DTC organization brings together product, merchandising, marketing, technology, and analytics to deliver best-in-class digital experiences for collectors, parents, and fans around the world. By combining consumer insights, innovative product experiences, and data-driven decision making, the team is focused on strengthening direct relationships with our consumers and accelerating the growth of Mattel's global ecommerce business.

Job Description

The Opportunity: 

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits at the intersection of analytics, technology, and business strategy-partnering with stakeholders across ecommerce, digital marketing, product, merchandising, and technology to transform data into actionable insights.

As a leader on the analytics team, you will drive complex analytical initiatives, guide measurement strategy, and develop scalable reporting and analytical solutions that help the organization understand consumer behavior, optimize performance, and identify opportunities for growth. You will also mentor analysts on the team, establish best practices in analytics and experimentation, and help shape the evolving analytics strategy supporting Mattel's global DTC ecosystem.

The ideal candidate is both technically strong and business-oriented, with a passion for solving complex problems, mentoring others, and translating data into meaningful business impact.

What Your Impact Will Be: 

Advanced Analytics & Modeling

  • Design and execute complex analyses using statistical and computational methods to evaluate ecommerce performance, consumer behavior, and marketing effectiveness
  • Apply advanced statistical techniques such as regression analysis, hypothesis testing, causal inference, and experimental design to evaluate business initiatives and product changes
  • Develop predictive and descriptive models to estimate outcomes such as consumer lifetime value, purchase propensity, churn risk, and campaign performance
  • Prototype and evaluate advanced analytical approaches, including machine learning methods and domain-specific models where appropriate

Data Engineering & Data Architecture Collaboration

  • Write highly optimized SQL queries to extract, transform, and analyze large-scale datasets across multiple relational databases and cloud data platforms
  • Partner closely with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs
  • Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce platforms, digital analytics, CRM, marketing systems, and operational data
  • Contribute to improvements in data architecture, analytics workflows, and data governance practices that enable reliable and scalable analysis

Data Visualization & Analytics Products

  • Design and build scalable dashboards and reporting solutions that enable stakeholders to monitor key DTC performance metrics and identify opportunities for growth
  • Develop interactive visualizations and data products that communicate complex analytical results clearly and effectively
  • Establish visualization standards and best practices that ensure clarity, consistency, and actionable storytelling across analytics outputs
  • Deliver insights through compelling data storytelling that supports executive decision-making

Measurement, Experimentation & Performance Analysis

  • Define measurement frameworks and key performance indicators for ecommerce initiatives, digital marketing campaigns, and consumer engagement programs
  • Lead experimentation initiatives, including A/B testing and experimental design, to evaluate product features, merchandising strategies, and marketing initiatives
  • Analyze and interpret experimental results to provide clear recommendations and guide product and business strategy
  • Develop standardized approaches for measuring funnel performance, customer journeys, and consumer lifecycle behavior

Analytics Leadership & Cross-Functional Partnership

  • Lead high-impact analytics projects that support Mattel's Direct-to-Consumer ecommerce strategy and digital transformation
  • Translate complex business questions into structured analytical approaches and technical solutions
  • Mentor analysts on advanced analytical methods, coding standards, and best practices in analytics development
  • Partner with product, marketing, merchandising, and technology teams to embed data-driven decision-making across the organization
Qualifications

What We're Looking For:

Experience & Education

  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline (Master's degree preferred)
  • 8+ years of experience in analytics, business intelligence, data science, or a related field
  • Experience leading complex analytics projects and influencing business decisions through data
  • Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments strongly preferred

Technical Skills

  • Advanced proficiency in SQL and working with large-scale relational datasets
  • Experience working with cloud data platforms such as Redshift, BigQuery, Snowflake, or Athena
  • Strong proficiency with Python or R for statistical analysis, data processing, and modeling
  • Experience with data visualization and BI tools such as Tableau, QuickSight, Looker, or similar platforms
  • Strong understanding of statistical analysis and experimentation, including hypothesis testing, regression analysis, and A/B testing
  • Familiarity with digital analytics platforms such as Google Analytics or Adobe Analytics

Business & Analytical Skills

  • Strong understanding of ecommerce and marketing performance metrics such as:
    • Conversion rate
    • Customer acquisition
    • Demand and net sales
    • Contribution margin
    • Customer lifetime value
    • Retention and engagement metrics
  • Ability to translate complex data into clear insights and recommendations that influence business strategy
  • Demonstrated ability to structure ambiguous business problems into actionable analytical approaches

*The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate's work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential. 

Additional Information

Don't meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!
How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:

  • We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
  • We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
  • We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

Who We Are:
Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world's leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattel's award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.

Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.
Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.

Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.

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