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Internship Data Analyst Startup Jobs in Phoenix, AZ

Prior startup or high-growth experience, ideally in health-tech or healthcare analytics * History of contributing to the data community through open-source projects, blog posts, or speaking ...

Data Protection Sr. Analyst

Phoenix, AZ · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... internship experiences and or schoolwork/classes/research. Minimum Qualifications: Bachelor ... Data modeling for financial analytics solutions. * 2 or more years of experience with one of the ...

Digital Analyst Internships

Chandler, AZ

$96.70K - $114.40K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Phoenix, AZ

$97.80K - $115.70K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Mesa, AZ

$97.70K - $115.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Glendale, AZ

$98K - $115.90K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Scottsdale, AZ

$99.10K - $117.30K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Your role Mission/Purpose of the Job Students, apprentices, interns and graduates: We are looking ... data. Using this information, undertake advanced problem solving and detailed analysis to ...

Your role Mission/Purpose of the Job Students, apprentices, interns and graduates: We are looking ... data. Using this information, undertake advanced problem solving and detailed analysis to ...

Business Analytics Internship Job ID 2026-8663 Category Executive/Administrative/HR/Legal Job ... Development of data analysis and reporting skills Responsibilities * Analyze data related to ...

Business Analytics Internship Job ID 2026-8663 Category Executive/Administrative/HR/Legal Job ... Development of data analysis and reporting skills Responsibilities * Analyze data related to ...

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

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Internship Data Analyst Startup information

See Phoenix, AZ salary details

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How much do internship data analyst startup jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data analyst startup in Phoenix, AZ is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Analyst at a startup, and why are they important?

To thrive as an Internship Data Analyst at a startup, you need a solid grounding in statistics, data manipulation, and basic programming skills, often supported by coursework in data science or related fields. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong problem-solving, adaptability, and communication skills help you interpret findings and work effectively within a fast-paced, evolving team. These skills enable you to extract actionable insights from data and contribute meaningfully to the startup’s growth and decision-making.

What are some common challenges faced by Data Analyst interns at startups, and how can they overcome them?

Data Analyst interns at startups often encounter challenges such as working with limited or unstructured data, rapidly changing priorities, and balancing multiple projects simultaneously. To overcome these, it's important to proactively communicate with team members, seek clarification on project goals, and be adaptable to shifting business needs. Additionally, leveraging mentorship opportunities and utilizing available analytics tools can help interns build confidence and deliver valuable insights, even in a fast-paced environment.

What does an Internship Data Analyst do at a startup?

An Internship Data Analyst at a startup typically assists in collecting, cleaning, and analyzing data to help the company make informed business decisions. They work closely with various teams to identify trends, generate reports, and create data visualizations. Due to the fast-paced nature of startups, interns often have the opportunity to work on diverse projects and gain hands-on experience with modern analytics tools. This role is ideal for students or recent graduates looking to build practical skills in data analysis while contributing to the growth of a young company.

What is the difference between Internship Data Analyst Startup vs Data Analyst?

AspectInternship Data Analyst StartupData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data, statistics, or related fieldBachelor's or higher in data-related disciplines, sometimes certifications
Work EnvironmentStartups, fast-paced, entry-level, learning-focusedVaries from corporate to consulting, more structured
Employer & Industry UsageStartups across tech, e-commerce, and innovative sectorsWide range including finance, healthcare, tech, and consulting
Common Search & ComparisonOften compared for entry-level experience and learning opportunitiesCompared for career progression and specialization

The main difference between an Internship Data Analyst at a startup and a Data Analyst is the experience level and work environment. Internships are typically short-term, entry-level roles focused on learning within startup settings, while Data Analysts are more experienced professionals working in established organizations across various industries.

What are the most commonly searched types of Data Analyst Startup jobs in Phoenix, AZ? The most popular types of Data Analyst Startup jobs in Phoenix, AZ are:
What job categories do people searching Internship Data Analyst Startup jobs in Phoenix, AZ look for? The top searched job categories for Internship Data Analyst Startup jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Internship Data Analyst Startup jobs? Cities near Phoenix, AZ with the most Internship Data Analyst Startup job openings:
Staff Data Analyst

Staff Data Analyst

SynaptiCure Inc.

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Synapticure
As a patient and caregiver-founded company, Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states through a virtual care platform. Partnering with providers and health plans, including CMS' new GUIDE dementia care model, Synapticure is dedicated to transforming the lives of millions of individuals and their families living with neurodegenerative diseases such as Alzheimer's, Parkinson's, and ALS.
 
Our data team powers the insights behind patient care, operational efficiency, and innovation in clinical outcomes-turning data into actionable intelligence that improves the lives of patients and families nationwide.
 
The Role
Synapticure is seeking an experienced and visionary Data Analyst to join our growing Data team. Reporting to the Head of Data, you will serve as a key analytical thought leader-defining how Synapticure measures success, tells stories through data, and drives organizational decision-making at the highest levels.
 
This is not a dashboarding or reporting role. You will own the analytical vision for major functional areas, architect scalable data models, and lead cross-functional initiatives that influence clinical, operational, and financial strategy. You'll transform complex, ambiguous business problems into clear, rigorous analytical frameworks that drive real-world impact for patients, caregivers, and providers.
 
The ideal candidate is a seasoned data professional who brings deep technical expertise, exceptional business acumen, and a passion for improving healthcare through data. You will act as both a strategist and a hands-on technical leader-mentoring other analysts, setting standards for data excellence, and ensuring our infrastructure and insights scale with our mission.
Job Duties - What you'll be doing
  • Define and Govern Analytical Strategy: Establish the multi-quarter analytical roadmap for a major business area (e.g., Clinical, Growth, or Operations), translating strategic objectives into measurable, actionable data initiatives.
  • Architect Data Models: Serve as the principal steward of Synapticure's data models and semantic layers (dbt/Snowflake), ensuring scalability, performance, and data integrity across the enterprise.
  • Lead Cross-Functional Initiatives: Manage complex, high-impact projects that require integration of diverse data sources and alignment across Product, Clinical, Finance, and Operations teams.
  • Strategic Partnership: Act as a trusted advisor to senior and executive leadership-framing key questions, guiding methodology, and delivering data-driven insights that shape company direction.
  • Mentorship & Team Development: Provide technical mentorship to other analysts, establish standards for analytical rigor and reproducibility, and elevate the analytical maturity of the entire organization.
  • Define and Govern Key Metrics: Create and maintain consistent definitions for enterprise-level KPIs to ensure alignment and accuracy across teams.
  • Storytelling with Data: Communicate analytical findings through compelling narratives that connect technical results to business and clinical impact.
  • Champion Data Integrity: Lead by example in maintaining high standards of quality, governance, and documentation across all analytical outputs and infrastructure.
Requirements - What we look for in you
  • 8+ years of experience in advanced data roles (Data Analyst, Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth organizations
  • Deep understanding of healthcare data ecosystems, including CMS data, clinical workflows, value-based care models, and regulatory compliance
  • Expert-level SQL proficiency and experience building transformation pipelines using dbt or equivalent modern data stack tools
  • Hands-on experience designing and maintaining production-grade data models within Snowflake, BigQuery, or Redshift environments
  • Strong knowledge of BI tools such as Tableau, Looker, Power BI, or Knowi, including building scalable analytics environments
  • Proven ability to translate ambiguous business questions into structured analytical plans and actionable insights
  • Exceptional communication and presentation skills-capable of influencing C-level stakeholders and cross-functional teams
  • Demonstrated experience mentoring data professionals and implementing analytical best practices at scale
  • Proven track record of delivering measurable business and clinical impact through data-driven decision-making
Preferred Qualifications
  • Experience using Python or R for advanced statistical modeling or machine learning
  • Deep understanding of patient journey analytics, cohort building, and healthcare funnel analysis
  • Familiarity with value-based care metrics, risk adjustment, and clinical quality measurement
  • Background in statistical methods, causal inference, and experimental design
  • Prior startup or high-growth experience, ideally in health-tech or healthcare analytics
  • History of contributing to the data community through open-source projects, blog posts, or speaking engagements
We're founded by a patient and caregiver, and we're a remote-first company. This means our values are at the heart of everything we do, and while we're located all across the country, these principles are what tie us together around a common identity:
  • Relentless focus on patients and caregivers. We are determined to provide an exceptional experience for every patient we have the privilege to serve, and we put our patients first in everything we do.
  • Embody the spirit and humanity of those living with neurodegenerative disease. Inspired by our founders, families, and personal experiences, we meet every challenge with empathy, compassion, kindness, joy, and hope.
  • Seek to understand, and stay curious. We start by listening to one another, our partners, our patients, and their caregivers. We communicate with authenticity and humility, prioritizing honesty and directness while recognizing we always have something to learn.
  • Embrace the opportunity. We are energized by the importance of our mission and bias toward action.
Travel Expectations
This is a fully remote position. Occasional travel to Synapticure's headquarters in Chicago, IL or other team gatherings may be required.
 
Salary & Benefits
Competitive compensation based on experience
Comprehensive health, dental, and vision insurance
401(k) plan with employer matching
Flexible, remote-first work environment
Home office stipend and technology support
Generous paid time off and sick leave
Opportunities for professional growth and advancement
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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