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Digital Analytics Developer Jobs in Nevada (NOW HIRING)

Deloitte

ServiceNow SRE Engineering Manager

Las Vegas, NV

$54.50 - $72.25/hr

Responsible for requirement analysis, automation, integration, monitoring, and ongoing support ... As Deloitte's primary internal development team, Product Engineering delivers innovative digital ...

Deloitte

Manager, SRE Engineer - PxE ERM

Las Vegas, NV

$54.50 - $72.25/hr

Responsible for requirement analysis, automation, integration, monitoring, and ongoing support ... As Deloitte's primary internal development team, Product Engineering delivers innovative digital ...

Ametek

Lead Product Engineer

Carson City, NV

This role is responsible for sustaining engineering, manufacturing support, and value analysis ... analog-to-digital signal concepts relevant to analytical instrumentation. Preferred ...

Volto USA

ELK Engineer at Las Vegas, NV

Las Vegas, NV · On-site

... pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key ... Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD), Digital : ELK Stack ...

New

Lnw

Lead Embedded Electronics Engineer

Las Vegas, NV

Experience with simulation and analysis tools (e.g., HFSS, ADS, or similar) * Expertise in digital ... Experience mentoring engineering teams * Familiarity with manufacturing validation processes and ...

Lnw

Lead Embedded Electronics Engineer

Reno, NV

Experience with simulation and analysis tools (e.g., HFSS, ADS, or similar) * Expertise in digital ... Experience mentoring engineering teams * Familiarity with manufacturing validation processes and ...

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All JobsDigital Analytics Developer JobsDigital Analytics Developer Jobs in Nevada

Digital Analytics Developer information

What is a Digital Analytics Developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a Digital Analytics Developer, and why are they important?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

How does a Digital Analytics Developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.
What are popular job titles related to Digital Analytics Developer jobs in Nevada? For Digital Analytics Developer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Digital Analytics Developer jobs in Nevada look for? The top searched job categories for Digital Analytics Developer jobs in Nevada are:
What cities in Nevada are hiring for Digital Analytics Developer jobs? Cities in Nevada with the most Digital Analytics Developer job openings:
Digital Analytics Developer jobs near you
Machine Learning Engineer- AI Data Platform (Reno, NV)

Machine Learning Engineer- AI Data Platform (Reno, NV)

MOBE

Reno, NV • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

About the Organization
MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.
MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.
Description
Company Overview
MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.
At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.
Your role at MOBE
We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.
You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Responsibilities:
  • Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
  • Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
  • Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
  • Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
  • Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
  • Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
  • Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
  • Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
  • Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
  • Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.

Position Requirements
Qualifications:
Required:
  • Five to Seven Years in the ML Engineering space.
  • Strong proficiency in Python and SQL for data processing, modeling, and pipeline development.
  • Hands-on experience building and deploying machine learning models in production, including monitoring and performance management.
  • Experience with AWS-based ML infrastructure, including SageMaker for training, deployment, and inference.
  • Practical experience designing or operating RAG systems that integrate LLMs with enterprise data sources.
  • Experience using MLflow (or equivalent) for experiment tracking, model registry, and lifecycle management.
  • Experience with Apache Airflow for orchestration of data and ML pipelines.
  • Strong foundation in data engineering concepts, including data modeling, versioning, and testing.
  • Ability to partner with Med Econ and BI teams to ensure ML outputs are interpretable, trusted, and consumable.

Preferred:
  • Experience with AWS Bedrock and/or Aider for LLM orchestration or AI-assisted development workflows.
  • Experience with dbt for transformation modeling, testing, and documentation.
  • Familiarity with feature store architectures (Feast, Tecton, SageMaker Feature Store).
  • Experience integrating ML outputs into BI tools such as Tableau, Looker, or QuickSight.
  • Experience with CI/CD pipelines, Git-based workflows, and infrastructure-as-code practices.
  • Exposure to healthcare or regulated data environments is a plus but not required.

Nice to Have:
  • Working knowledge of Docker and Kubernetes for scalable deployment of ML services.
  • Experience implementing data observability, model drift detection, or AI governance tooling.
  • Experience fine-tuning or adapting large language models for domain-specific use cases.

Values
  • People First. We show we care because we believe in the power of human connection
  • Spark Positivity. We each have the power to turn any challenge into something awesome.
  • Stay Curious. We relentlessly discover and embrace new ideas to keep moving forward.

Benefits and Compensation
We offer a comprehensive benefits package
  • Paid time off
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) with company match
  • Tuition reimbursement
  • Additional benefits available to eligible employees

The salary range for this position is $114,000-$130,000 based on experience and qualifications.
Full-Time/Part-Time
Full-Time
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Location
Nevada
This position is currently accepting applications.

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