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Data And Analytics Jobs (NOW HIRING)

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 ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data, and implementing IT systems to enhance logistics and supply chain processes. Responsibilities : • ...

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Data Analytics Officer

Jackson, MS · On-site

$65K - $68K/yr

Collaborates with the admin leadership team to define data analysis and reporting plan and deliverables, school-facing data support, and norms on data practices. * Conducts descriptive analysis on ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate is expected to be a self-learner as it relates to new big data ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialistwith 2-5 years of experiencein data engineering and analytics. The ideal candidate will have strong expertise with toolsets for data mining ...

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Building on that success, we see a significant opportunity to expand our AI, Data, Analytics capabilities as enterprise data, AI and modern cloud platforms continue to transform the Life Sciences ...

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights, overseeing extensive data projects and integrating AI to ...

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Description Position Summary The Data Analytics Developer owns the data transformation and integration layer of Crider Foods' data platform. The position builds and maintains the SQL and dbt models ...

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Data And Analytics information

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How much do data and analytics jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data and 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 are some common challenges faced by professionals in Data and Analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

What does a data analytics job do?

A data analytics job involves collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that support business decision-making. Professionals in this role use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. They may work in various industries, providing reports and recommendations to improve operations and strategy.

What jobs are there in data analytics?

Jobs in data analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Data Architect. These positions typically require skills in statistical analysis, data visualization, and proficiency with tools like SQL, Python, or R, often supported by certifications or relevant experience.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

Is data analytics a good career?

Data and Analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What are the key skills and qualifications needed to thrive in Data and Analytics, and why are they important?

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.
More about Data And Analytics jobs
What cities are hiring for Data And Analytics jobs? Cities with the most Data And Analytics job openings:
What are the most commonly searched types of Data And Analytics jobs? The most popular types of Data And Analytics jobs are:
What states have the most Data And Analytics jobs? States with the most job openings for Data And Analytics jobs include:
Infographic showing various Data And Analytics job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 1% Internship, 87% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% 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 • On-site

Full-time

Re-posted 24 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.

Videos to watch:
The Culture at Mattel
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