Jobs · OTHR · New York

Product Analytics Associate

Medidata Solutions · New York, United States · 1 mo ago
HybridOTHR$115k–$153k/yrFull-time
We need to output HTML fragment with sections: About the role? Actually we have "About the Team" and "About our Company". The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should include sections only if posting has real specific content. We have content for About the Company, About the Team, Responsibilities, Qualifications, Benefits, Pay. Also maybe "Location" but not needed as heading. We should not repeat job title as heading. No Job ID. Remove boilerplate: EEO, scam warning, etc. Also remove duplicated lines. Keep all substantive info. We need to format:

About the Company

with paragraph(s) containing the company description.

About the Team

with paragraph(s) describing team and role.

Responsibilities

with
  • items.

    Qualifications

    with
    • items.

      Benefits

      with
      • items (medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year). Also maybe mention "Most sales positions are eligible for a commission... many of Medidata's non-sales positions are eligible for annual bonuses." That's part of benefits? Could be included.

        Pay

        with paragraph containing salary range: $114,750- $153,000 for NYC. Also note that base pay is part of Total Rewards. We should not include Schedule section because not specified. We need to preserve all substantive info, not invent. Let's extract details. About the Company paragraph: "Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata." We can keep that as paragraph(s). Could split but one paragraph fine. About the Team: "We are seeking a Product Analytics Associate to serve as a critical bridge between Product, Data Science, Client Delivery, and Sales. In this role, you will lead high value initiatives that are an essential part in driving Medidata's Study Experience product roadmap. You will work on initiatives focused on building new study insights, improving data quality, and supporting the development of advanced AI predictive models. Additionally, you will be instrumental in providing continuous analytics support for pre-sales proposals and client engagements to ensure we provide actionable insights to our customers." We can keep as paragraph. Responsibilities: bullet list from "Product Development and Data Science Innovation" subheadings? The posting lists: - New Insights Development: Explore internal data sources based on customer feedback and market needs to develop new, actionable insights and metrics for our customers - Metric Refinement: Enhance existing product metrics to improve accuracy, consistency, and usability across platforms. - AI Development: independently define and own product requirements for predictive models, partnering with Data Science teams to spearhead product requirements, research, validation for predictive models, ensuring outputs are trusted and understood by customers. - Client Delivery and Revenue Enablement - Customer Analytics: own the end to end development of complex analytics solutions, determining methods and approaches with minimal direction - Develop insights that address immediate client needs and serve as validation for future roadmap features - Cross-Functional Leadership - Stakeholder Collaboration: Serve as a subject matter expect and primary point of contact across Data Engineering, Product Owners, Data Operations and Client Delivery teams - proactively identifying and resolving cross functional issues Also there is a line: "Successful candidates will be skilled in analytical/quantitative thinking, structured communication and excited about building the next horizon of Medidata's journey of powering smarter treatments and healthier people." That seems more like qualifications? Actually it's after Responsibilities but before Qualifications. It could be part of Qualifications or maybe a summary. We'll treat as part of Qualifications? But it's about successful candidates skills. Could be included in Qualifications as bullet. We'll include responsibilities bullets as above. Qualifications: list: - Bachelors degree or equivalent experience - 5+ years of work experience with a Bachelor's degree, or 3+ years with a Master's degree, in one of the following types of highly structured or scientific environments: management/healthcare consulting, life sciences, data and analytics role - Proficiency in data analytics tools and concepts (e.g, Python, SQL, R) - A passion for understanding complex issues with a data driven approach - Outstanding structured and critical thinking - Product or Project Management experience to oversee metric development, productization, and cross-functional roadmap alignment spanning multiple products - The ability to interface directly with internal stakeholders and with clients to generate actionable and scalable self-service analytics tools - (Helpful but not essential) Strong performance in a MS program in Data Science, Statistics, or Computer Science or related field - Experience working in Life sciences or across the healthcare value chain - An entrepreneurial drive and a passion to advance the development of new treatments - A strong analytical background and the ability to quickly digest and evaluate complex analyses with a keen eye for detail Also the line about successful candidates skills could be included as bullet: "Skilled in analytical/quantitative thinking, structured communication and excited about building the next horizon of Medidata's journey of powering smarter treatments and healthier people." We'll include that as bullet under Qualifications. Benefits: list: - medical, dental, life and disability insurance - 401(k) matching - family leave - flexible paid time off - 10 paid holidays per year - Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Pay: paragraph: "The salary range for positions that will be physically based in New York will be $114,750- $153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work." We should not include "As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region." That's also substantive? It's about pay ranges. Might be considered part of Pay section. We could include that as well. It's not boilerplate; it's info about pay. So include. Thus Pay paragraph: include both sentences. Now ensure we don't include any heading with empty content. We'll output HTML fragment:

        About the Company

        ...

        About the Team

        ...

        Responsibilities

        • New Insights Development: Explore internal data sources based on customer feedback and market needs to develop new, actionable insights and metrics for our customers
        • Metric Refinement: Enhance existing product metrics to improve accuracy, consistency, and usability across platforms.
        • AI Development: independently define and own product requirements for predictive models, partnering with Data Science teams to spearhead product requirements, research, validation for predictive models, ensuring outputs are trusted and understood by customers.
        • Customer Analytics: own the end to end development of complex analytics solutions, determining methods and approaches with minimal direction
        • Develop insights that address immediate client needs and serve as validation for future roadmap features
        • Stakeholder Collaboration: Serve as a subject matter expert and primary point of contact across Data Engineering, Product Owners, Data Operations and Client Delivery teams - proactively identifying and resolving cross functional issues
        Note: fix typo "expect" to "expert". We must preserve original text? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The original had "subject matter expect". That's a typo but it's part of the posting. Should we keep it as is? Probably keep original text, even if typo. So we keep "subject matter expect". We'll not correct. Thus bullet: "Stakeholder Collaboration: Serve as a subject matter expect and primary point of contact across Data Engineering, Product Owners, Data Operations and Client Delivery teams - proactively identifying and resolving cross functional issues" Now Qualifications:

        Qualifications

        • Bachelors degree or equivalent experience
        • 5+ years of work experience with a Bachelor's degree, or 3+ years with a Master's degree, in one of the following types of highly structured or scientific environments: management/healthcare consulting, life sciences, data and analytics role
        • Proficiency in data analytics tools and concepts (e.g, Python, SQL, R)
        • A passion for understanding complex issues with a data driven approach
        • Outstanding structured and critical thinking
        • Product or Project Management experience to oversee metric development, productization, and cross-functional roadmap alignment spanning multiple products
        • The ability to interface directly with internal stakeholders and with clients to generate actionable and scalable self-service analytics tools
        • Skilled in analytical/quantitative thinking, structured communication and excited about building the next horizon of Medidata's journey of powering smarter treatments and healthier people.
        • Strong performance in a MS program in Data Science, Statistics, or Computer Science or related field (helpful but not essential)
        • Experience working in Life sciences or across the healthcare value chain (helpful but not essential)
        • An entrepreneurial drive and a passion to advance the development of new treatments (helpful but not essential)
        • A strong analytical background and the ability to quickly digest and evaluate complex analyses with a keen eye for detail (helpful but not essential)
        But we need to mark helpful but not essential maybe as separate bullet with note. Could keep as bullet with parentheses. Now Benefits:

        Benefits

        • medical, dental, life and disability insurance
        • 401(k) matching
        • family leave
        • flexible paid time off
        • 10 paid holidays per year
        • Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses.
        Now Pay:

        Pay

        The salary range for positions that will be physically based in New York will be $114,750- $153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.

        Check for any duplicated lines: we have not included location hybrid etc. Not needed as heading. Check for boilerplate removed: EEO, scam warning,

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