data analyst

data engineer

business analyst

data engineer ii

data scientist

data analytics analyst

ADF Medical

<div>
 We're looking for a sharp, analytical
 
 Remote Data Analyst
 
 to help us turn data into actionable insights. If you love working with numbers, spotting trends, and making data meaningful &mdash; this role is for you.
 
 
 
 Role:
 
 Remote Data Analyst
 
 
 
 Department:
 
 Analytics &amp; Business Intelligence
 
 
 
 Location:
 
 Fully Remote
 
 
 
 Type:
 
 Full-Time / Part-Time
 
 
 
 Requirements
 
 
 
 Collect, clean, and analyze large sets of patient and operational data
 
 
 Build reports, dashboards, and visualizations for internal teams
 
 
 Identify trends, patterns, and insights to support business decisions
 
 
 Work closely with management to track KPIs and performance metrics
 
 
 Ensure data accuracy, integrity, and security at all times
 
 
 Present findings in a clear and understandable format to non-technical stakeholders
 
 
 
 Benefits
 
 
 
 Competitive pay
 
 
 Health, dental &amp; vision benefits (full-time employees)
 
 
 Paid time off &amp; paid holidays
 
 
 Flexible scheduling options
 
 
 Growth opportunities within ADF Medical Services
</div>

Data Analyst

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>

Paxos

<div>
 
 About Paxos
 
 
 
 Today&rsquo;s financial infrastructure is archaic, expensive, inefficient and risky &mdash; supporting a system that leaves out more people than it lets in. So we&rsquo;re rebuilding it.
 
 
 We&rsquo;re on a mission to open the world&rsquo;s financial system to everyone by enabling the instant movement of any asset, any time, in a trustworthy way. For over a decade, we&rsquo;ve built blockchain infrastructure that tokenizes, custodies, trades and settles assets for the world&rsquo;s leading financial institutions, like Mastercard, Visa, Robinhood, and PayPal.
 
 
 
 About The Team
 
 
 
 The Analytics team is at the center of data-driven decision making at Paxos. We are a dedicated group of analysts and data professionals who transform raw data into insights that guide our product, operations, risk, and commercial strategies. Our team is passionate about building trustworthy metrics, intuitive dashboards, and clear analyses that help stakeholders move faster and with more confidence. We partner closely with teams across the company, leveraging deep understanding of our business and products to solve complex problems and unlock new opportunities through data.
 
 
 
 About The Role
 
 
 
 As a Data Analyst at Paxos, you will own analytics for Paxos stablecoins and rewards initiatives. You will combine strong SQL, dashboarding, and analytical skills with a product mindset to help teams make better decisions, design smarter incentives, and meet our regulatory and reporting obligations. You&rsquo;ll work closely with Product, Engineering, Finance, and Account Management to turn complex data into clear, actionable insights in a lean, high‑ownership environment
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own the analytics for Paxos-issued tokens and Rewards as a product, including defining core metrics, building dashboards, and creating analyses that inform product, rewards, and network strategy.
 </li>
 <li>
 Translate ambiguous business questions from Product, Engineering, Finance, and Account Management into well‑scoped data problems and deliver clear, decision‑ready outputs (dashboards, analyses, memos, reports).
 </li>
 <li>
 Partner with the data engineering team and cross-functional stakeholders to shape and improve the underlying data models in Snowflake and dbt, ensuring the stablecoin and rewards domains are well‑modeled, trusted, and documented.
 </li>
 <li>
 Use AI‑powered tooling (e.g., Snowflake native AI, Cortex, Claude/Claude Code, Streamlit apps) to accelerate analysis, improve model quality, and prototype new analytics workflows.
 </li>
 <li>
 Contribute to regulatory reporting, audits, and exam requests as part of the team&rsquo;s BAU responsibilities, ensuring accuracy, consistency, and timely delivery.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2-5 years of experience in data and analytics roles (e.g., Data Analyst, Analytics Engineer, Technical Product Analyst), ideally in a product or financial/fintech environment.
 </li>
 <li>
 Advanced SQL proficiency, including querying large, complex datasets and reasoning about data model design - not just editing or copy‑pasting existing queries.
 </li>
 <li>
 Hands-on dashboarding and data visualization experience with tools such as Looker, Metabase, or Tableau, including designing new dashboards and metric frameworks rather than only maintaining existing ones.
 </li>
 <li>
 Strong analytical and quantitative skills, with practical experience in metrics development, data modeling concepts, and basic statistics, working on top of a modern warehouse + modeling stack (e.g., Snowflake + dbt or equivalent).
 </li>
 <li>
 Comfort with Git-based workflows for managing analytics code and assets (SQL, dbt models, dashboard definitions), including branching, pull requests, code review, and CI/CD in the data stack.
 </li>
 <li>
 Demonstrated ability to leverage AI in analytics workflows, ideally including Snowflake-native AI (e.g., Cortex), Claude Code, and Streamlit apps to &ldquo;vibe code&rdquo; dashboards or accelerate analysis and modeling work.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to explain complex technical and quantitative concepts to non-technical stakeholders and tailor messaging to product, engineering, finance, and account management audiences.
 </li>
 <li>
 Strong stakeholder and requirements-gathering skills: able to collect, challenge, and distill business needs into clear, actionable deliverables (dashboards, analyses, reports), including regulatory reporting, audit, and exam requests as part of BAU work.
 </li>
 <li>
 A growth mindset and high adaptability: eager to learn, comfortable with ambiguity, and willing to experiment with new tools and approaches (including AI), rather than being rigid or &ldquo;set in your ways.&rdquo;
 
 
 </li>
 </ul>
 
 Important Notice for Paxos Applicants
 
 
 
 We&rsquo;ve become aware of fraudulent accounts posting as Paxos recruiters on LinkedIn and other platforms. These scammers attempt to deceive applicants into paying for job opportunities or providing personal financial information.
 
 
 
 To Verify a Legitimate Paxos Recruiter
 
 
 
 <ul>
 <li>
 We only use @paxos.com email addresses
 </li>
 <li>
 We never ask for payment or financial details to apply, interview, or work here
 </li>
 <li>
 For technical roles, we do not perform a coding interview without prior screening by our engineering team
 
 
 </li>
 </ul>
 Thanks for your interest in Paxos!
 
 
 Compensation Range: $146K - $167.7K
 
 
</div>

Ventas, Inc.

<div>
 
 Job Description
 
 
 
 Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
 
 
 The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
 
 
 
 About The Role
 
 
 
 The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
 
 
 <ul>
 <li>
 Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
 </li>
 <li>
 Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
 </li>
 <li>
 Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
 </li>
 <li>
 Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
 </li>
 <li>
 Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
 </li>
 <li>
 Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
 </li>
 <li>
 Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
 </li>
 <li>
 Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
 </li>
 <li>
 Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
 </li>
 <li>
 2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
 </li>
 <li>
 Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
 </li>
 <li>
 Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
 </li>
 <li>
 Proficiency in SQL and Python required.
 </li>
 <li>
 Experience translating ambiguous business questions to analytical problems
 </li>
 <li>
 Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
 </li>
 <li>
 Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
 </li>
 <li>
 Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
 
 
 </li>
 </ul>
 
 The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
 
 
 
 
 In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
 
 
 
 Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
 
 
 Ventas, Inc. is an Equal Opportunity Employer.
 
 
 Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
 
 
</div>

Analyst, Data Science

BCforward

<div>
 
 
 BC Forward is currently seeking for a highly motivated Data Analyst for a Onsite Role in New York, NY
 
 
 
 
 
 
 
 Position Title: Data Analyst
 
 
 
 
 Location: New York, NY
 
 
 
 
 Anticipated Start Date:
 
 5/4/2026
 
 
 Please note this is the target date and is subject to change. BCforward will send official notice ahead of a
 
 
 confirmed start date.
 
 
 
 Expected Duration:
 
 03+ Months (W2 contract)
 
 
 
 Job Type:
 
 Contract
 
 
 
 
 
 
 
 Primary Skill Required for the Role: Tableau
 
 
 
 
 Data Analysis Advanced
 
 
 
 
 Microsoft - Excel
 
 
 
 
 
 
 
 
 We are looking for Alteryx, Snowflake and Data Analysis skills/experience.
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Analytics Contractor, you will analyze and interpret complex data sets to provide actionable insights and support decision-making processes.
 
 </li>
 <li>
 
 Collect, process, and analyze large datasets to identify trends, patterns, and insights.
 
 </li>
 <li>
 
 Develop and maintain data models, dashboards, and reports to visualize data findings.
 
 </li>
 <li>
 
 Utilize statistical and analytical tools to perform data analysis and generate insights.
 
 </li>
 <li>
 
 Collaborate with project teams to understand data requirements and deliver relevant analytical solutions.
 
 </li>
 <li>
 
 Ensure data accuracy and integrity by performing data validation and quality checks.
 
 </li>
 </ul>
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work.
 
 
 BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will regardless of the anticipated assignment duration.
 
</div>

Digitas North America

<div>
 
 Company Description
 
 
 
 Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign&rsquo;s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world&rsquo;s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
 
 
 The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
 
 
 
 Overview
 
 
 
 
 Analyst, Data and Analysis
 
 
 
 The Data &amp; Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
 
 
 To help with this, we&rsquo;re looking for an outstanding Analyst &ndash; someone who has a knack for understanding data and telling the story of why it matters. You&rsquo;ll learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
 
 
 As an Analyst, you&rsquo;ll lay the groundwork and contribute to day-to-day reporting needs for client marketing efforts. You&rsquo;ll work on brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
 
 
 
 Day-to-day, Your Role Includes
 
 
 
 <ul>
 <li>
 Keeping a pulse on day-to-day performance data, including display media, site, search, email, and/or social campaigns
 </li>
 <li>
 Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
 </li>
 <li>
 Identifying nuances in data to optimize our clients&rsquo; business
 </li>
 <li>
 Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
 </li>
 <li>
 Expanding industry knowledge and relevant skillsets through internal training
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 We&rsquo;re looking for strong, impactful work experience, which typically includes:
 
 
 
 <ul>
 <li>
 1-3 years of work experience in a relevant industry
 </li>
 <li>
 A four-year college degree
 </li>
 <li>
 Passion for digital marketing, eagerness to learn in a constantly-changing space, and a natural curiosity
 </li>
 <li>
 Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus
 </li>
 <li>
 Comfortable in a fast-paced and deadline-driven environment
 </li>
 <li>
 Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL&middot;E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
 
 
 </li>
 </ul>
 Got the sparkle? Apply if you believe your unique skills are a fit. We&rsquo;d love to hear from you!
 
 
 2026-146472
 
 
 
 Additional Information
 
 
 
 Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
 
 
 If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
 
 
 Compensation Range: $55,765 - $85,878 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/2026.
</div>

Analyst, Data and Analysis

NYU Langone Health

<div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary: 
We have an exciting opportunity to join our team as a Data Analyst.
 
 
The Division of Epidemiology in the Department of Population Health seeks a Data Analyst to work in two of the divisions research areas. Dr. Bozack and Dr. Eisenberg-Guyot are looking to hire a full-time data analyst who can support cohort studies on molecular mechanisms linking environmental exposures to health (Dr. Bozacks projects) and cohort studies on social-class inequities in health (Dr. Eisenberg-Guyots projects). Dr. Bozacks National Institute of Environmental Health Science-funded projects focus on epigenetic modifications and biomarkers, metal exposures, and nutrition, while Dr. Eisenberg-Guyots National Institute on Aging-funded projects aim to identify the socioeconomic causes of growing social-class inequities in mental illness and mortality over the last several decades in the US. Responsibilities will focus on data analysis but may also include literature reviews, scientific writing, and project support.

Job Responsibilities:
<ul>
<li>Contribute to the development of analytic plans in consultation with investigators; recommend solutions to analytical challenges.</li>
<li>Data wrangling and analysis, including data cleaning, calculation of descriptive statistics, and statistical modeling</li>
<li>Prepare results of analyses for review; participate in discussion and interpretation of findings</li>
<li>Create text, tables, and figures for presentations and publications</li>
<li>Document analytic methods, including by writing reproducible code</li>
<li>Lead and/or participate in manuscript and grant writing</li>
<li>Maintain regular communication with PI and other team members to facilitate collaboration</li></ul> 


Additional Position Specific Responsibilities: 
l

Minimum Qualifications: 
To qualify you must have a Masters degree in epidemiology, data science, economics, public health, or a related quantitative field 
Proficiency cleaning, managing, and analyzing data in R 
Experience using common epidemiological methods (e.g., association analyses via linear and logistic regression) 
Experience with data visualization in R (ggplot) 
Strong organizational skills, including documentation and sharing of code 
Proficient in Microsoft Word and reference management software 
Detail-oriented and able to prioritize and alter priorities as circumstances require 
Able to work both independently and collaboratively 
Knowledge of and experience applying project management principles and concepts.

Preferred Qualifications: 
Experience using (or ability to learn how to use) g-methods (e.g., inverse probability weighting, g-computation) in standard epidemiologic settings 
Experience analyzing survival, panel, and complex survey data 
Experience with IRB and grant submissions

Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here</div>

Explore 1272+ Data analytics analyst in New York this May. Find roles across top companies and apply now to boost your career.

1272 data analytics analyst jobs In New York

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