1252 Clinical Data Analyst jobs in Dallas,TX

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
Relocation assistance is available for this position.

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New, Posted 7 hours ago

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Analyst, Revenue Management Market Analysis

American Airlines

Fort Worth, TX 76101

New, Posted 2 hours ago

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Enterprise Sales Representative

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

High school diploma or general education degree required (GED)
Experience in a consultative sales role
Read, write, speak and understand English
Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
Proven networking, negotiation and closing abilities
Valid and active State driver's license with safe driving record

SmartExplore AI is experimental.

ResumeLibrary

Lead Analyst, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 22 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 3+ years required
Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired
Experience driving projects and presenting to senior management on results and ideas
Capability and willingness to learn new areas within the OneMain business and take on diverse projects

SmartExplore AI is experimental.

iHire

Vibration Analyst – Cat II / CAT III (Hybrid)

Cornerstone Mechanical Services, LLC

Seagoville, TX 75159

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Portfolio Optimization Analyst

Fisher Investments Careers

Dallas, TX 75217

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Don't let the perfect job slip away—upload your resume and we'll personalize your results instantly.

New, Posted 1 day ago

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Sr. Analyst, Risk Modeling - PPNR

Santander Holdings USA

Dallas, TX 75221

Onsite

Bachelor's Degree or equivalent work experience: Statistics, Mathematics, Economics or equivalent quantitative discipline. - Required.
3+ Years Risk Management, Risk Modeling - Required.
Strong foundation in econometric and statistical modeling techniques, including regression and time-series analysis, with experience developing forecasting models using large datasets for stress testing or risk management.
Experience performing model diagnostics, backtesting, stability testing, and sensitivity analysis, with the ability to assess both statistical validity and economic intuition of model outputs.
Proficiency in SQL, Python, or SAS for data extraction, transformation, and model development.
Familiarity with CCAR, DFAST, ICAAP, or enterprise stress testing frameworks.
Knowledge of banking products, revenue drivers, and their behavior across economic cycles.
Ability to independently own model components from development through performance monitoring and documentation within a governance-driven environment.
Strong analytical skills with the ability to interpret complex data and translate quantitative results into clear business insights.
Strong verbal and written communication skills, including technical documentation and regulatory-facing materials.
Ability to manage multiple priorities and adapt to changing project demands while working both independently and collaboratively.

SmartExplore AI is experimental.