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Jmp Data Analytics Jobs in California (NOW HIRING)

TekWissen LLC

Commercial Data Associate

Santa Monica, CA · On-site

Commercial Data Associate Location: Santa Monica CA Duration: 6 Months Job Type: Contract Work Type ... Proficient in JMP, SAS or equivalent for statistical analyses and familiar with Statistical Quality ...

Tata Consultancy Service Limited

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

... JMP). * Provided essential analytics support for service sales, marketing, field services, and tech support. * Delivered key metrics and performance drivers across service functions, providing ...

psudo

Identify new internal and external data sources to support analytics initiatives and work with ... Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing ...

Nokia

Senior ATE Wafer Test Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

Prefer experience with Galaxy or JMP data analysis tools. * Prefer Advantest 93K expertise including calibration, TL/ISO compliance and ESD compliance * Prefer expertise with Perl, VB, SQL and ...

Nokia

Senior ATE Wafer Test Engineer

Sunnyvale, CA · On-site

Prefer experience with Galaxy or JMP data analysis tools. * Prefer Advantest 93K expertise including calibration, TL/ISO compliance and ESD compliance * Prefer expertise with Perl, VB, SQL and ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

... analytics tools, including JMP, Spotfire, Tableau, R-Studio • Knowledge of pharmaceutical manufacturing processes and GMP requirements for data integrity. Cell therapy experience preferred. • ...

Genentech

Senior Data Scientist

South San Francisco, CA · On-site

$156.20 - $290.20/hr

An integral part of achieving this vision is to deliver new and innovative data analytics solutions ... Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to ...

Genentech

Senior Data Scientist

South San Francisco, CA · On-site

$156K - $290K/yr

An integral part of achieving this vision is to deliver new and innovative data analytics solutions ... Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to ...

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Jmp Data Analytics information

What is JMP Data Analytics?

JMP Data Analytics refers to the use of the JMP software platform for statistical analysis and data visualization. JMP, developed by SAS, is widely used by scientists, engineers, and analysts to explore, analyze, and visualize data interactively. It offers tools for data cleaning, statistical modeling, and advanced analytics without requiring extensive programming knowledge. JMP is especially popular in industries such as pharmaceuticals, manufacturing, and research for its user-friendly interface and robust statistical capabilities.

What are the key skills and qualifications needed to thrive as a JMP Data Analytics professional, and why are they important?

To thrive as a JMP Data Analytics professional, you need a solid background in statistics, data analysis, and problem-solving, often supported by a degree in a quantitative field. Proficiency with JMP software, along with familiarity with data visualization, scripting, and potentially certifications such as JMP Certified Specialist, is highly valuable. Strong communication, critical thinking, and attention to detail help you interpret results and present actionable insights effectively. These skills and qualifications are essential for transforming complex data into clear, impactful business decisions.

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

AspectJmp Data AnalyticsData Analyst
Required SkillsProficiency in JMP software, data visualization, statistical analysisData manipulation, statistical tools, Excel, SQL
Work EnvironmentResearch labs, analytics firms, industries using JMPBusiness, finance, healthcare, various industries
CertificationsJMP certification, data analysis certificationsCertified Analytics Professional, Microsoft Excel certifications

Jmp Data Analytics professionals focus on using JMP software for statistical analysis and data visualization, often within research or specialized analytics environments. Data Analysts typically work across various industries, utilizing a broader set of tools like Excel and SQL. While both roles require strong analytical skills, Jmp Data Analytics roles emphasize JMP proficiency, whereas Data Analysts may have more diverse technical toolsets.

How does a JMP Data Analytics professional typically collaborate with other departments within an organization?

JMP Data Analytics professionals often work closely with teams across the organization, including engineering, quality assurance, product development, and operations. They support these teams by analyzing complex data sets, creating visualizations, and providing actionable insights to guide decision-making. Effective communication and an ability to translate technical findings into clear, business-relevant recommendations are essential. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic work environment where analytical expertise directly impacts company performance.
What are popular job titles related to Jmp Data Analytics jobs in California? For Jmp Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Jmp Data Analytics jobs in California look for? The top searched job categories for Jmp Data Analytics jobs in California are:
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Jmp Data Analytics jobs near you

Clinical Data Associate - II*

Unicon Pharma Inc

Santa Monica, CA • On-site

Contractor

Re-posted 29 days ago

Job description

Description:

Actual Job Tittle: Commercial Data Associate

Location: Santa Monica (Onsite Role)

**Please note***

Continued Process Verification (CPV) and JMP software experience is a MUST***

  • Works collaboratively with Process Engineers and Statisticians in Global Manufacturing Sciences and Technology (GMSAT), Statistical Sciences & Analytics (SS&A) team to meet project deliverables and timelines to author and approve Continued Process Verification (CPV) related reports, such as Process Monitoring Reports (PMR) and Annual Product Reviews (APR).
  • Performs Data Verification requirements per Kite's Standard Operating Procedures (SOP), e.g., reproduces all CPV statistical output using JMP scripts, reviews documents for data and information accuracy, notifies author of errors and ensures corrections are made prior to approval and completes sign offs in QMS.
  • Assists with report authoring by populating graphs, tables and attachments in Word templates and identifying deviations using QMS.
  • Extracts and transforms data from excel or databases, as needed.
  • Attends and participates in regular meetings to review and track report progress.
  • Assists with the preparations for bi-monthly Process Monitoring Tier 4 meetings, attends meetings and takes meeting minutes.
  • Must be able to effectively communicate and possess good problem solving as well as people/project leadership skills.

Requirements and Preferred Qualifications:

  • BS degree with 5 years or MS degree with 3 years of technical experience in biologics / biopharma, high-tech industry
  • BS or MS degree in Data Analytics, Data Science, Applied Statistics or Applied Math, preferred
  • Proficient in SQL, SAS or equivalent for data extraction and transcription
  • Proficient in JMP, SAS or equivalent for statistical analyses and familiar with Statistical Quality Control techniques, e.g., SPC and Process Capability.
  • Knowledge of python code for report generation.
  • Proficient in Microsoft Word and Excel
  • Exceptional attention to detail with the ability to meet aggressive deadlines
  • Good communication and documentation skills, ability to network and interact with manufacturing sites in different time zones
  • Knowledge of data management and ability to manage project and prioritize multiple projects
  • Familiarity with a Quality Management System (QMS) and how it is used in biotech

Project Work:

1. Report Authoring:

a. PMRs: pre-populate tables (including deviation tables) and graphs

b. Control Limits: Manage and prepare data, compute and propose statistical limits and assist with report authoring

2. Report Verification:

a. PMRs: raw data, figure and table formats, re-run all charts, check control limits, tables, statistics summaries and deviations against original data sources and metadata files.

b. APRs: raw data, figure and table formats, re-run all charts, check control limits, tables, statistics summaries and deviations against original data sources and metadata files.

c. Control limits: verify analytics approaches uses, re-run all analysis, verify updated limits.

3. Tier 4 Meetings:

a. Take minutes

b. Cross-site comparison prep: prepare data, generate outputs from JMP scripts and update the slide deck.