it business lead analyst - vice president

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human resources data analyst Jobs in New York

human resources data analyst

it business lead analyst - vice president Jobs in New York

ai data engineer

senior data mining analyst

Ventas, Inc.

<div><h1 class="jobSectionHeader"><b>Job Description:
</b></h1><p>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.
</p><p></p><div>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.
</div><p></p><p><b>About the Role
</b></p><p>The Senior 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:
</p><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><p></p><p><b>Qualifications
</b></p><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>4+ 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><p></p><p><i>The estimated base salary range for this position is $105,000 &ndash; $130,000 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.
</i></p><p></p><p><i>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.
</i></p><p></p><p>Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
</p><p></p><p>Ventas, Inc. is an Equal Opportunity Employer.
</p><p></p><p>Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.</p></div>

Senior Analyst, Data Science

CrowdStrike

<div><div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We&rsquo;re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.</div><div></div><div><b>
About the Role:</b></div><div>
CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Lead will serve as the strategic leader and primary champion of this practice, establishing vision, strategy, while ensuring cost efficiency continues beyond our FY27 Cost Reduction Program.</div><div></div><div><b><i>
PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.</i></b></div><div></div><div><b>
What You'll Do:</b></div><div><b>
Strategic Leadership</b></div><ul><li><div>
Establish and champion the FinOps vision, strategy, across the engineering organization</div></li><li><div>
Drive FinOps capability maturity across all Cloud Cost Management Framework pillars (Understand, Quantify, Optimize)</div></li><li><div>
Serve as primary liaison between Engineering, Finance, and Executive Leadership on cost management initiatives</div></li><li><div>
Participate in Infrastructure Foundations Program Management governance to ensure alignment with FY27 Cost Reduction Program</div></li><li><div>
Report FinOps metrics, outcomes, and strategic recommendations to senior leadership</div></li></ul><div></div><div><b>
Organizational Coordination</b></div><ul><li><div>
Coordinate FinOps activities across fourteen product groups and eleven platform groups in our matrix organization</div></li><li><div>
Facilitate allocation methodology discussions between platform and product groups</div></li><li><div>
Ensure consistency in cost reporting and optimization approaches across all groups</div></li><li><div>
Lead the FinOps Working Group with representatives from key product and platform groups</div></li><li><div>
Build and maintain relationships with product group-specific program managers</div></li></ul><div></div><div><b>
Capability Development</b></div><ul><li><div>
Define and prioritize FinOps capability development roadmap aligned with organizational needs</div></li><li><div>
Drive changes toward cost-conscious engineering across the entire organization</div></li><li><div>
Establish FinOps governance structures, policies, and standards</div></li><li><div>
Collaborate with Data Analytics Team on TechOps Analytics Data Solution FinOps requirements</div></li><li><div>
Partner with Infrastructure Foundations PgM to ensure no duplication and clear handoffs</div></li></ul><div></div><div><b>
Team Leadership</b></div><ul><li><div>
Build, lead, and mentor the FinOps core team (Senior FinOps Analyst, FinOps Analyst, FinOps Engineer, FinOps Program Manager)</div></li><li><div>
Manage FinOps budget and resource allocation</div></li><li><div>
Establish regular cadences for team operations, stakeholder engagement, and executive reporting</div></li><li><div>
Foster a collaborative environment that encourages innovation and continuous improvement</div></li></ul><div></div><div><b>
What You'll Need:</b></div><div><b>
Required Qualifications</b></div><ul><li><div>
FinOps Certified Practitioner certification (or commitment to obtain within 90 days)</div></li><li><div>
7+ years of experience in cloud cost management, engineering leadership, or related field</div></li><li><div>
Deep understanding of cloud platforms (AWS, Azure, GCP) and their pricing models</div></li><li><div>
Proven experience navigating complex matrix organizations and building cross-functional partnerships</div></li><li><div>
Strong stakeholder management and communication skills with ability to influence at all organizational levels</div></li><li><div>
Technical credibility with engineering teams and ability to understand infrastructure and application architectures</div></li><li><div>
Experience establishing and maturing organizational practices or centers of excellence</div></li></ul><div></div><div><b>
Preferred Qualifications:</b></div><ul><li><div>
FinOps Certified Professional certification</div></li><li><div>
Experience in cybersecurity or SaaS industry</div></li><li><div>
Background in both engineering and finance/business functions</div></li><li><div>
Experience with data center operations and hybrid cloud environments</div></li><li><div>
Familiarity with commitment-based discount programs (Reserved Instances, Savings Plans, CUDs)</div></li><li><div>
Track record of delivering measurable cost optimization results</div></li></ul><div></div><div><b>
Key Competencies:</b></div><ul><li><div>
Strategic thinking with ability to position near-term wins and long-term capability building</div></li><li><div>
Exceptional communication skills for technical and non-technical audiences</div></li><li><div>
Data-driven decision making with strong analytical capabilities</div></li><li><div>
Collaborative leadership style that builds consensus and drives action</div></li><li><div>
Comfort with ambiguity and ability to establish structure in emerging practice areas</div></li></ul><div></div><div>
#LI-LY1</div><div>
#HTF</div>
This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.<div></div><div><b>
Benefits of Working at CrowdStrike:</b></div><ul><li><div>
Market leader in compensation and equity awards</div></li><li><div>
Comprehensive physical and mental wellness programs</div></li><li><div>
Competitive vacation and holidays for recharge</div></li><li><div>
Paid parental and adoption leaves</div></li><li><div>
Professional development opportunities for all employees regardless of level or role</div></li><li><div>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</div></li><li><div>
Vibrant office culture with world class amenities</div></li><li><div>
Great Place to Work Certified&trade; across the globe</div></li></ul><div><br>
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.</div><div></div><div>
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.</div><div></div><div>
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at <div>recruiting@crowdstrike.com</div> for further assistance.</div><div></div><div><div>
Find out more about your rights as an applicant.</div></div><div></div><div>
CrowdStrike participates in the E-Verify program.</div><div></div><div><div>
Notice of E-Verify Participation</div></div><div><div>
Right to Work</div></div><div></div>
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.<div></div><div>
For detailed information about the U.S. benefits package, please <div>click here</div>.</div></div><div></div>

Sr. Engineer, Data Analytics (Hybrid)

The New York Times

<div><div><div><div><div><div><p><b>The </b><b>mission</b><b> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.</b></p>
</div>
</div></div></div></div><p><b>About the Role, Mission or Department Overview</b></p>
<p>
The New York Times is looking for a Senior Analyst to join our Enterprise Analytics Team within the Data and Insights Group (DIG).</p>
<p>
As part of the Enterprise Analytics team, you will work with teams across DIG, Data Platforms, and Strategy. You will uncover meaningful patterns from our data, automate reporting, create consistent metric definitions, in support of a trustworthy, scalable enterprise data foundation. You will help shape an enterprise-wide view of the journalistic, product and commercial drivers of the business to inform strategy, quarterly earnings and other related deliverables. You will report to the Director, Enterprise Analytics.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>You will collaborate with Strategy teams and DIG counterparts to deliver holistic analyses and performance reporting (slide decks, memos) on audience, engagement, and subscription growth to executives, the Board, and Wall Street</p>
</li>
<li><p>You will build and maintain centralized reporting dashboards and automated reports on enterprise metrics, for use by analysts and business stakeholders across the organization</p>
</li>
<li><p>You will code in R or Python to analyze data, build visualizations, and create automated reporting infrastructure</p>
</li>
<li><p>You will write SQL to build pipelines, reporting architecture, and analyze large datasets.</p>
</li>
<li><p>You will demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</p></li></ul><br>
<p>
</p><p><b>Basic Qualifications:</b></p>
<ul>
<li><p>2+ years of experience working with data analytics or data science teams to deliver reporting and analysis</p>
</li>
<li><p>Proficiency in SQL and experience working with relational databases</p>
</li>
<li><p>2+ years of experience in at least one additional scripting language like R or Python</p>
</li>
<li><p>1+ years experience with data visualization and presenting insights from data</p></li></ul><br>
<p>
</p><p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>1+ years of experience working in big data environments such as BigQuery or dbt, querying 10M+ rows</p>
</li>
<li><p>1+ years of experience working in dbt or other data transformation or scheduling tool</p>
</li>
<li><p>1+ years of experience with version control (Github, code review)</p>
</li>
<li><p>1+ years of experience with subscription or revenue metrics</p>
</li>
</ul><p>REQ-019896</p><div><p>
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.</p>
<p>
For roles outside of the U.S., information on benefits will be provided during the interview process.</p>
<p>
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p>
<p>
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.</p>
<p>
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p>
<p>
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p>
<p>
For information about The New York Times' privacy practices for job applicants click here.</p>
<p>
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p>
<p>
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</p></div></div><p></p>

Senior Analyst, Data & Insights, Enterprise Analytics

Criteo

<div><h3 class="jobSectionHeader"><b>What You'll Do:</b></h3><p>
As part of the Retail Media Brand Analytics team the analyst will provide support to internal and external stakeholders. For internal stakeholders, this includes campaign troubleshooting, sales collateral development and client support. For external stakeholders, it includes custom insights and reporting, incrementality A/B testing, and troubleshooting. The ideal candidate is someone who can structure and formulate data to answer business questions.</p><p>
You will:</p><ul><li>
Support internal and external stakeholders with advanced analytics, insights, reporting and assist with client meetings, campaign troubleshooting, where required.</li><li>
Develop self-service Tableau reports to help internal and external stakeholders improve their campaign and keyword bidding strategies.</li><li>
Work with an agentic AI system to auto-generate queries to increase efficiency in developing queries to pull custom data.</li><li>
Develop seasonal holiday insights to support sales efforts for key events</li></ul><h3 class="jobSectionHeader"><b>
Who You Are:</b></h3><ul><li>
3-4+ years experience required</li><li>
Ideal educational background and/or certificates needed Math, economics, econometrics, analytics, engineering, computer science, any data and analytics-related background</li><li>
Hands-on experience developing reporting, insights and other analytics to internal or external clients.</li><li>
Strong technical background, but also some business acumen; Experience with AdTech is a plus.</li><li>
Stack SQL, Python, Tableau</li><li>
Knowledge of Tools / Systems Ad tech or marketing analytics experience preferred, but not required</li></ul><p>
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we&rsquo;d love to see your application!
</p><h3 class="jobSectionHeader"><b>Who We Are:</b></h3><p>
We&rsquo;re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.<br>
<br>
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.<br>
<br>
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs&mdash;never on non-job-related factors or legally protected characteristics.
</p><h3 class="jobSectionHeader"><b>What We Offer:</b></h3><div><p>
 Ways of working &ndash; Our hybrid model blends home with in-office experiences, making space for both.
 Grow with us &ndash; Learning, mentorship &amp; career development programs.
 Your wellbeing matters &ndash; Health benefits, wellness perks &amp; mental health support.
 A team that cares &ndash; Diverse, inclusive, and globally connected.
 Fair pay &amp; perks &ndash; Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
</p></div><div></div><div><p>Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.</p></div><p>
For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days.</p><p>
The US base salary pay range for this position per year is:</p>
$115,000 - $140,000</div>

Sr. Data Analyst

Openkyber

<div><b>Title: Senior Data Analyst Location: Irving Place, New York, NY(Hybrid) Job Type: Contract Interview:- F2F Interview Job Description:</b>
<p>A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment. Advanced SQL Azure Databricks Data Engineer Associate Certificate full-stack Python Generative AI Knowledge of statistical modeling and machine learning concepts Machine Learning Operations Power BI Dashboards python Pyspark programming Nice To Have JOB SUMMARY Data Analyst w/ ML Experience JOB DESCRIPTION Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.</p>
<p>Required Skills/Experience (Skills that the successful candidate(s) must have) Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics , or related field. Strong experience in machine learning algorithms , predictive modeling, and data mining. Proficiency in Python (required) for data science workloads. Strong SQL (required) knowledge and experience with relational databases. Proficiency in PySpark(required) for data science workloads. Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. Experience with Azure Databricks , Oracle , and modern data science libraries (e.g., scikit-learn, pandas, NumPy). Experience with GenAI and large language models. Ability to interpret complex datasets and produce actionable insights. Must know how to analyze the root cause of dashboard errors. Have experience in ML Ops and have strong coding background. Have experience with Natural Language Processing (NLP). Knowledge or experience with A/B Testing. Working knowledge of designing, training, and implementing machine learning models. Familiarity with cloud-based infrastructure Excellent communication and problem-solving skills. 7 or more years of experience in data science and machine learning engineering.</p>
<p>Additional Skills (Skills that are a plus, but not required) Knowledge of statistical methods and experimental design.</p>
<p>Responsibilities Advanced Analytics &amp; Machine Learning Design, develop, and optimize machine learning models (forecasting, classification, clustering). Apply data mining techniques to uncover patterns and insights in large datasets. Perform feature engineering, model validation, and performance tuning. Explore and deploy modern AI and ML approaches to enhance automation and analytics.</p>
<p>Data Preparation &amp; Quality Prepare structured and unstructured data for modeling and advanced analysis. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with Data Engineering to maintain efficient data pipelines. Identify data quality issues and propose remediation.</p>
<p>Analytics, Insights &amp; Reporting Conduct deep-dive analyses to identify trends and improvement opportunities. Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. Support the development of dashboards, metrics, and analytical solutions.</p>
<p>Cross-Team Collaboration Work with architects, engineers, and analysts to define analytical requirements. Contribute to conceptual data model design and workflow optimization. Promote best practices in machine learning, analytics, and data governance.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Cognos Business Intelligence Analyst

Lyft

<div><p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>
Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.</p>
<p>
As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You'll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.</li>
<li>Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action</li>
<li>Construct and fit statistical, machine learning, or optimization models</li>
<li>Design and analyze online experiments; communicate results and act on launch decisions</li>
<li>Develop analytical frameworks to monitor business and product performance</li>
<li>Establish metrics that measure the health of our products, the business, as well as the driver experience</li>
<li>Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.</li>
</ul><h2 class="jobSectionHeader"><b>Experience:</b></h2>
<ul><li>Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience</li>
<li>5+ years of industry experience in a data science, analytics, or management consulting role.
</li><li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Ability to manage, influence, negotiate, and inspire others in a fast-moving environment</li>
<li>Proficiency in SQL and Python</li>
<li>Experience with insurance claims analytics a plus</li>
<li>Strong oral and written communication skills, and ability to collaborate with cross-functional partners</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Benefits:</b><br>
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>
The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p></div>

Senior Data Scientist, Decisions - Risk

DailyPay Inc

<div><p><b>About Us:</b><br>
DailyPay is transforming the way people get paid. As a worktech company and the industry&rsquo;s leading on demand pay solution, DailyPay uses an award-winning technology platform to help America&rsquo;s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.<br>
DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center.</p><h2 class="jobSectionHeader"><b>
The Role:</b></h2><p></p><p>
DailyPay is looking for a Senior Data Analyst to join our growing Data Team! The Senior Data Analyst will utilize various types of data to draw insights and build strategic recommendations to drive business value for the company, while working collaboratively to empower internal teams including Sales, Marketing, Product and Customer Success. This position will also enable client success through supporting the development of customer-facing data products and analytics.
</p><p>The mission of the Data Team is critical for continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay&rsquo;s leading role in the early wage access industry - and the Senior Data Analyst will be instrumental in helping to realize this vision for DailyPay.</p><p>
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.</p><p></p><h2 class="jobSectionHeader"><b>
How You Will Make an Impact:</b></h2><ul><li><p><b>
Lead Advanced Analytics Initiatives</b>: Take ownership of complex analytics projects, proactively identifying opportunities to deliver actionable insights that drive strategic business outcomes.</p></li><li><p><b>
Translate Data into Strategic Recommendations</b>: You'll go beyond reporting, providing in-depth analysis and clear, data-driven recommendations to influence key business decisions.</p></li><li><p><b>
Collaborate Cross-Functionally</b>: Partner with stakeholders across departments to understand their needs, define requirements, and deliver impactful analytics solutions.
</p></li><li><p><b>Mentoring and leadership</b>: Guide the training and development of the analytics team&rsquo;s strategic problem solving skill set</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You Bring to The Team:</b></h2><ul><li><p>
4+ years SQL experience; strong SQL capability</p></li><li><p>
4+ years Analytics and/or Data Science experience</p></li><li><p>
Proficiency in programming languages such as Python or R, and experience with data analysis tools and libraries</p></li><li><p>
Strong background in statistical analysis, machine learning algorithms or predictive modeling techniques</p></li><li><p>
Excellent written and verbal communication skills, including presenting findings to stakeholders</p></li><li><p>
Ability to influence decision-making with data-driven insights, providing actionable recommendations that drive business outcomes</p></li><li><p>
Strong problem-solving and critical thinking skills</p></li><li><p>
Strategic, creative thinker will be highly valued for this role</p></li></ul><h2 class="jobSectionHeader"><b>
What We Offer:</b></h2><ul><li><p>
Exceptional health, vision, and dental care</p></li><li><p>
Opportunity for equity ownership</p></li><li><p>
Life and AD&amp;D, short- and long-term disability</p></li><li><p>
Employee Assistance Program</p></li><li><p>
Employee Resource Groups</p></li><li><p>
Fun company outings and events</p></li><li><p>
Unlimited PTO</p></li><li><p>
401K with company match</p></li></ul><p></p><p><br>
Compensation Range: $115K - $151K</p></div>

Senior Analyst, Product Analytics

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