Data Science Analyst Jobs
Data Science Analyst jobs are open across technology, finance, healthcare, and retail, from entry-level to senior and lead roles, with specializations in predictive modeling, business intelligence, and machine learning engineering. Find a role that fits from the openings below and apply directly.
Find Data Science Analyst JobsOverview
Showing 5 of 19,921+ Data Science Analyst jobs











INTRODUCTION:
Join a team that's shaping the future of pediatric care. Children’s Hospital Los Angeles is consistently ranked among the top 10 children's hospitals in the nation, delivering world-class care through more than 350 specialized programs and services. Here, world-class experts in medicine, research, and education work together to deliver family-centered care to more than 155,000 patients each year. At CHLA, your work will help build brighter tomorrows for the children and families we serve.
Overview:
This is 100% remote position. CHLA requires a primary residence in California prior to start date.
Schedule: Monday-Friday, Day Shift
Purpose Statement/Position Summary: The Data Science Analyst III, under the direction and supervision of the Director of Analytics, will play a hands-on role in our Office of Enterprise Data (OED). The Data Science Analyst III is a senior-level analyst who independently collaborates with stakeholders across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Data Science Analyst III demonstrates an extremely advanced understanding of the healthcare domain, project management, technical data manipulation and analytic development, either BI or Machine Learning. These skills support CHLA’s mission to create hope and build healthier futures.
MINIMUM QUALIFICATIONS:
- 8 years of experience in healthcare, including familiarity with hospital systems, healthcare data sets (claims, EHR, clinical data, structured and unstructured data) and analytics, data management, and data visualization.
- Understanding of and familiarity with Data Analytics platforms like Azure data lake, Azure Synapse, Azure Fabric, Oracle DB, SQL Server, etc.
- Able to demonstrate advanced BI development skills, beyond a DSA II, using Tableau and/or PowerBI.
- Understanding of Medicaid programs and related health policy is a plus.
- Able to demonstrate advanced analytical, problem-solving and decision-making skills, beyond a DSA II.
- Able to demonstrate advanced data prep skills, beyond a DSA II, using scripting languages like Oracle PL/SQL, MS SQL, R, Python, etc.
- Demonstrated ability to be self-paced, self-motivated and flexible in a rapidly evolving environment.
- Able to demonstrate strong verbal and written communication and interpersonal skills and able to effectively engage and influence various stakeholders at all levels of the organization with varying skill sets, beyond a DSA II.
- Organized and detail-oriented, with proven ability to independently plan and execute projects, prioritize workload, meet deadlines, and manage more than one project at a time.
- Proactive learner with initiative to learn new skills and apply this knowledge on the job.
- Executes all job responsibilities and assignments promptly, reliably, honestly and ethically.
- Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), including creating charts and graphs.
EDUCATION/LICENSURE/CERTIFICATION:
- Bachelor's degree from an accredited university in a relevant field (Public Health, Computer Science, Information Systems).
OR
High School Diploma/GED and 8 years of direct experience.
PREFERRED:
- Master’s degree.
PAY SCALE INFORMATION:
CHLA values the contribution each Team Member brings to our organization. Final determination of a successful candidate’s starting pay will vary based on a number of factors, including, but not limited to, education and experience within the job or the industry. The pay scale listed for this position is generally for candidates who meet the specified qualifications and requirements listed on this specific job description. Additional pay may be determined for those candidates who exceed these specified qualifications and requirements. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs.
Posting Range: USD $99,008.00 - USD $169,728.00
CLOSING:
CHLA is a leader in pediatric and adolescent health, in our community, across the nation, and around the world. As a premier Magnet®-recognized teaching hospital, CHLA offers an environment rooted in learning, collaboration, and compassionate care. We are home to groundbreaking research, clinical innovation, and a culture that supports personal and professional growth. Since 1932, CHLA has been affiliated with the Keck School of Medicine of the University of Southern California. Through this partnership and our own enduring mission, we remain committed to creating hope and building healthier futures.
At Children’s Hospital Los Angeles, our work matters. And so do each and every one of our valued team members. We consider qualified applicants for all positions without regard to race, color, religion, creed, national origin, sex, gender identity, age, physical or mental disability, sexual orientation, marital status, veteran or military status, genetic information or any other legally protected basis under federal, state or local laws, regulations or ordinances. We will also consider for employment qualified applicants with criminal history, in a manner consistent with the requirements of state and local laws, including the LA City Fair Chance Ordinance and SF Fair Chance Ordinance.
Qualified Applicants with disabilities are entitled to reasonable accommodation under the California Fair Employment and Housing Act and the Americans with Disabilities Act. Please contact CHLA Human Resources if you need assistance completing the application process.
Our various experiences, perspectives and backgrounds allow us to better serve our patients and create a strong community at CHLA.
See All 19,921+ Data Science Analyst Jobs
Jump back to the full list of openings and apply to any data science analyst role that fits.
Find Data Science Analyst JobsData Science Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon723

- Apple600

- CVS Health399

- NVIDIA389

- TikTok291

Top Industries Hiring
- Technology & Software6,551
- Consulting & Professional Services1,578
- Healthcare & Medical Services1,178
- Electronics & Hardware1,127
- Banking & Financial Services1,120
What Employers Look For
The qualifications that appear most often in data science analyst jobs.
- Proficiency in Python or R for data analysis and statistical modeling
- Strong SQL skills for querying and manipulating large relational datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Familiarity with machine learning libraries such as scikit-learn or TensorFlow
- Experience communicating analytical findings clearly to non-technical stakeholders
Tips for Your Data Science Analyst Job Search
Quantify model impact on your resume
Recruiters for data science analyst roles want to see outcomes, not just tools. Replace 'built predictive models' with the business result: how much churn you reduced, revenue you influenced, or processing time you cut. Specific numbers make your resume stand out in applicant stacks.
Tailor your portfolio to the industry
A portfolio project in e-commerce demand forecasting won't land the same way at a hospital system. Swap or reframe one project to match the domain you're targeting. Hiring managers in healthcare or finance respond more to domain-relevant examples than technically impressive but unrelated work.
Filter openings by required stack, not just title
Data science analyst roles vary widely in their tooling. Some require Python and SQL, others center on Tableau or Power BI. Search by the specific tools listed in job descriptions you want to land, and deprioritize postings where your stack differs on more than two core requirements.
Apply early to roles that fit
Migrate Mate lists data science analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical screen before the HR call
Many data science analyst pipelines front-load a take-home SQL or Python assessment before any recruiter conversation. Brush up on window functions, joins, and basic statistical concepts now, so you're not scrambling after you apply. Knowing this stage exists helps you pace your prep correctly.
Negotiate using role-specific comp levers
Data science analyst offers often include components beyond base salary: signing bonuses, equity, conference budgets, and learning stipends. When you receive an offer, ask explicitly about each. Employers who can't move on base often have flexibility on these secondary levers, especially at mid-size tech and fintech firms.
Data Science Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data science analysts?
The companies hiring the most data science analysts right now include Amazon, Apple, and CVS Health, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is especially active in technology, financial services, and healthcare sectors.
How many data science analyst jobs are remote?
About 30% of data science analyst openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the analytics field. Positions focused on business intelligence, reporting, and predictive modeling tend to have the highest share of remote arrangements, while roles requiring close collaboration with lab or operations teams are more often on-site.
How do you become a data science analyst?
Start by building a foundation in statistics, Python or R, and SQL through coursework, bootcamps, or self-study. Develop a portfolio of projects that show you can clean messy data, build models, and communicate results. Earn a relevant degree or a recognized certification such as Google's Data Analytics Certificate or the IBM Data Science Professional Certificate. Then apply to entry-level analyst or junior data roles to gain professional experience.
Can you get a data science analyst job with little or no experience?
Yes, you can break into data science analyst roles without a formal work history by leading with a strong project portfolio. Build two or three end-to-end projects using publicly available datasets, publish them on GitHub, and explain your methodology clearly. Entry-level titles like junior data analyst, analytics associate, or business intelligence analyst are designed for candidates transitioning into the field, and many employers value demonstrated skill over years of experience.
What does the data science analyst interview process look like?
Most data science analyst pipelines follow four stages: an initial recruiter screen, a technical assessment covering SQL and Python or statistics, a case study or take-home project where you analyze a dataset and present findings, and a final round with the hiring manager and team. The technical screen and case study carry the most weight. Expect to explain your reasoning out loud, not just produce a correct answer.
Where can I find and apply to data science analyst jobs?
You can find and apply to data science analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills, location preference, and experience level, then apply directly to each one that fits.
See All 19,921+ Data Science Analyst Jobs
Jump back to the full list of openings and apply to any data science analyst role that fits.
Find Data Science Analyst Jobs