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Nextgen Data Analyst Jobs in California (NOW HIRING)

Comtech, LLC

Programmer Analyst - HRIS

Sunnyvale, CA · On-site

... eP)/NextGen HRIS & Payroll application both frontend and backend. Experience working with HR ... Understanding of Performance Series data table structure and ability to pull open documents (open ...

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Healthcare Revenue Cycle EHR/EMR Systems & Reporting Analyst

Coronado, CA · On-site

$90K - $115K/yr

... and NextGen -- to pull account-level and system-level data. * Pull and analyze accounts receivable, collections, denial, aging, liquidation, and payment reports directly from client EHR/EMR and ...

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Comtech, LLC

HRIS Program Analyst

Sunnyvale, CA · On-site

... data management services. We have developed our methodologies and processes based on the ... eP)/NextGen HRIS & Payroll application both frontend and backend. * Experience working with HR ...

NextGen Genetics, LLC

Laboratory Tech

San Jose, CA

$27/hr

Build What Matters Most--Families, Futures, and Your Career Luminary Genetics (NextGen Genetics) is ... Analyze NGS data for chromosomal abnormalities and accurately compile patient results into report ...

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Nextgen Data Analyst information

What is a Nextgen data analyst?

Nextgen Data Analysts are professionals who leverage advanced analytics, artificial intelligence, and modern data technologies to interpret complex data sets and provide actionable insights for organizations. Unlike traditional data analysts, they often work with big data platforms, cloud computing, and machine learning tools to uncover patterns and trends. Their role is pivotal in helping companies make data-driven decisions that drive innovation and efficiency. Nextgen Data Analysts are also expected to communicate their findings effectively to both technical and non-technical stakeholders.

How does a Nextgen data analyst typically collaborate with cross-functional teams to drive data-driven decision-making?

A Nextgen Data Analyst often works closely with departments such as product management, marketing, engineering, and executive leadership to translate complex data findings into actionable insights. Collaboration usually involves participating in strategy meetings, presenting analytical reports, and co-developing metrics or dashboards tailored to team objectives. Effective communication and a proactive approach to stakeholder engagement are essential, as the analyst bridges the gap between raw data and business strategy. This collaborative environment not only enhances the impact of data initiatives but also fosters continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a Nextgen data analyst, and why are they important?

To thrive as a Nextgen Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, computer science, or a related field. Familiarity with advanced data analytics tools, programming languages like Python or R, and platforms such as SQL, Tableau, or Power BI is typically required, along with certifications like Microsoft Certified Data Analyst or Google Data Analytics. Critical thinking, problem-solving, and effective communication skills help translate complex data insights for stakeholders and foster cross-functional collaboration. These competencies are crucial for turning raw data into actionable strategies that drive business innovation and informed decision-making.

What is the difference between Nextgen Data Analyst vs Data Analyst?

AspectNextgen Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Python, or RBachelor's in similar fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentTech-driven companies, healthcare, finance; focus on advanced analytics and automationVarious industries; focus on data collection, cleaning, and basic analysis
Employer & Industry UsageUsed in industries adopting next-gen analytics tools and AI integrationCommon across multiple industries for standard data analysis tasks

The Nextgen Data Analyst typically requires advanced technical skills and works in innovative environments utilizing cutting-edge tools, whereas the Data Analyst performs fundamental data tasks across diverse industries. Both roles share similar educational backgrounds but differ in complexity and scope.

What are popular job titles related to Nextgen Data Analyst jobs in California?

For Nextgen Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Nextgen Data Analyst jobs in California look for?

The top searched job categories for Nextgen Data Analyst jobs in California are:

What cities in California are hiring for Nextgen Data Analyst jobs?

Cities in California with the most Nextgen Data Analyst job openings:

Nextgen Data Analyst jobs near you

Senior Computational Scientist - Systems Biology & NextGen Data Engineering

Calliere

Union City, CA

Full-time

Re-posted 13 days ago

Job description

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Step into a role where code meets clinical impact. We're building the next generation of datadriven diagnostics - at the intersection of biology, computation, and machine learning. You'll join a tight\-knit team of scientists and engineers decoding huge multiomic datasets to uncover patterns that actually change patient outcomes.
<\/p>What You'll Do
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  • Architect and optimize computational pipelines that turn raw highresolution molecular data into clean, interpretable insights.
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  • Apply advanced statistical and algorithmic frameworks to analyze ultralarge celllevel and spatial datasets.
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  • Design and validate novel biomarkers and molecular signatures that accelerate diagnostic innovation.
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  • Maintain scalable, reproducible data workflows capable of handling cohorts of hundreds or thousands of biological samples.
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  • Partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility.
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    Requirements<\/h3>What You Bring
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    • Ph.D. (or equivalent experience) in computational biology, bioinformatics, genomics, or a quantitative discipline.
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    • 5+ years working handson with singlecell, spatial, or highthroughput sequencing data.
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    • Deep understanding of algorithmic performance, statistical rigor, and how analytical assumptions translate to biological meaning.
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    • Strong engineering mindset - you write clean, extensible code that scales gracefully.
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    • Expertlevel fluency in Linux and modern programming ecosystems.
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    • Independent drive, intellectual curiosity, and relentless attention to detail.
      <\/p><\/li>\n <\/ul>Bonus Points For
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      • Experience with nextgeneration spatial or singlecell assay platforms.
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      • Background in oncology, immunology, or systemslevel disease research.
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      • Familiarity with biomarker discovery pipelines or clinical data integration.
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      • Machine learning or statistical modeling applied to multiomic data.
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      • Practical experience with workflow orchestration (Nextflow, Snakemake, or similar).
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      • Solid software engineering habits - reproducible analysis, version control, peer review, and testing.
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      • Comfort operating in highperformance or cloud computing environments.
        <\/p><\/li>\n <\/ul>

        If you're driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics, this is your stage.
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