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associate, digital marketing

senior marketing data analyst

VillageCare

<div><p>Join VillageCare as a Senior Financial Data Analyst in the dynamic healthcare sector. This exciting opportunity allows you to contribute to impactful financial decision-making while working from the convenience of your home. Enjoy the flexibility of a remote work environment, allowing you to balance your professional and personal life effectively. With a competitive salary ranging from $87,647.11 to $98,603.00, you will be rewarded for your expertise and dedication.</p><p>
Your analytical skills will play a crucial role in enhancing our customer-centric services and driving excellence in healthcare delivery. If you're looking for a position that combines flexibility, professional growth, and the chance to make a difference, consider applying today. Join our energetic team based in New York, NY, and be part of a forward-thinking organization dedicated to transforming healthcare.</p><h3 class="jobSectionHeader"><b>
HELLO, WE'RE VILLAGECARE</b></h3><p>
VillageCare is a community-based, not-for-profit organization serving people with chronic care needs, as well as seniors and individuals in need of continuing care and managed care services. Our mission is to promote healing, better health and well-being to the fullest extent possible. Our care is offered through a comprehensive array of community and residential programs, as well as managed care. VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years.</p><h3 class="jobSectionHeader"><b>
MAKE A DIFFERENCE AS A SENIOR FINANCIAL DATA ANALYST - HEALTHCARE</b></h3><p>
As a Senior Financial Data Analyst at VillageCare, you will be integral to enhancing our Finance department's reporting capabilities. You will develop and maintain customized reports and dashboards using SQL, Tableau, and RedShift, collaborating closely with the IT department to automate these reports for efficient metric monitoring. Your role involves designing and developing dashboards while creating member economics reports that empower leadership in strategic business decisions.</p><p>
You'll also be responsible for automating regulatory reports for the New York State Department of Health and CMS, leading the medical claims reinsurance reporting and reconciliation process. Additionally, you'll support the completion of monthly and quarterly provider group financial statements while documenting reporting rules in partnership with the provider team and manager. Your efforts will ensure timely and accurate reporting, consistently reflecting VillageCare's commitment to Service Excellence, as you tackle various ad hoc requests that arise.</p><h3 class="jobSectionHeader"><b>
WOULD YOU BE A GREAT SENIOR FINANCIAL DATA ANALYST - HEALTHCARE?</b></h3><p>
To thrive as a Senior Financial Data Analyst at VillageCare, candidates must possess a Bachelor's degree in Healthcare, Finance, or a related field, or equivalent professional experience. A minimum of five years in a relevant position is essential, with a proven ability to perform complex data analysis and develop insightful reports and dashboards in a healthcare setting. Successful candidates will demonstrate strong analytical and logical thinking skills, coupled with exceptional attention to detail. The capacity to multi-task while maintaining high levels of accuracy is crucial in this fast-paced environment.</p><p>
Additionally, strong communication skills, both verbal and written, are required for effective collaboration with team members and stakeholders. Your ability to present complex findings clearly and build interpersonal relationships will significantly contribute to the organization's success in strategic decision-making.</p><p>
Knowledge and skills required for the position are:</p><ul><li>
Education: Bachelor's degree in Healthcare, Finance or relevant field or equivalent years of experience required.</li><li>
Minimum 5 years of relevant professional work experience. Ability to perform complex data analysis and report/dashboard development in a health care setting. Capacity to multi-task at high detail-oriented level. Strong communication skills (verbal written presentation interpersonal). Strong analytical and logical skills paired with strong attention to detail.</li></ul><h3 class="jobSectionHeader"><b>
READY TO JOIN OUR TEAM?</b></h3><p>
Applying for this position is a walk in the park if you feel it's a good fit for you. Best of luck!</p><p><b><br>
**MUST LIVE IN NJ/NY/CT**</b></p></div>

Senior Financial Data Analyst - Healthcare

Uber

<div><b>About the Role
</b><br>
<br>
The Customer Experience Analytics (CXA) team powers data-driven decision making across Uber's Community Operations (CommOps) org. Our team is currently looking to hire for our Global Customer Support Analytics team. As a Data Analyst, you will shape and influence a world class experience for our customers interacting with support at Uber. This role will focus on reducing defective experiences, increasing user retention, and evaluating the effectiveness of our policies &amp; tech.
<br>
<br>
You will drive analyses and experimentation behind company-wide decisions related to our support experience; and build scalable tools that enable internal and external stakeholders to demonstrate data and act upon insights. You will be working on a wide range of high-priority projects, and have exposure to multiple stakeholders across Uber (Operations, Product and Engineering). Additionally, you will uncover insights from support interactions to drive product and operational improvements.
<br>
<br>
<b>What You Will Do
</b><br>
<ul><li>Conduct analyses on various projects to improve the experience of our customer interactions
</li><li>Drive experimentation and insight generation in order to quantify the value of support and advise return on investment tradeoffs
</li><li>Leverage cutting edge AI and analytics tools to build and manage data infrastructure, build self-service data products, and develop insights that move the business forward
</li><li>Partner with senior leadership to advocate for customer-first changes to our products, app features, and support policies
</li><li>Quantity the impact and efficiency of new products and business processes
</li>Develop analytical frameworks to support decision-making across various markets<br>
<li>
</li></ul><br>
<br>
<b>Basic Qualifications
</b><br>
<ul><li>4+ years experience in data analytics, business intelligence, data engineering, or within a similar role
</li><li>BA/BS Degree obtained
</li><li>Expertise in SQL and data modeling to transform raw, distributed data into stable, &quot;single source of truth&quot; architectures.
</li>Skill in building intuitive, self-service tools (Tableau, Looker, or Streamlit) for non-technical users and business leaders.<br>
<li>
</li></ul><br>
<br>
<b>Preferred Qualifications
</b><br>
<ul><li>Experience with Python and AI tools (like Cursor or Claude Code) to analyze data and automate workflows
</li><li>Analyze advanced A/B testing data (exposure to experimental design is a plus)
</li><li>Experience working with customer support or customer insights
</li><li>MS obtained in Statistics, Business Analytics, Data Science or a similar field
</li><li>Experience translating complex data insights into actionable, executive-ready narratives
</li>Accustomed to working in an ambiguous environment<br>
<li>
</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Data Analyst, Customer Experience Analytics

<div><b>About the Role</b>
<br>
<br>
We are seeking a motivated and skilled Sr Data Analyst with a focus on data &amp; automation for Uber's Ads team. This role is pivotal in optimizing the strategic insights analytics and streamlining the reporting processes through advanced technical expertise in SQL, Python, and APIs. The successful candidate will be instrumental in improving the efficiency and effectiveness of data-driven decision-making within Uber's Ads operations.
<br>
<br>
<b>What You'll Do:
</b><ul><li>Develop and maintain SQL queries and scripts to extract, manipulate, and analyze large datasets
</li><li>Utilize Python to automate data workflows and perform data analysis and extrapolation
</li><li>Integrate various data sources and APIs to contribute to real-time data monitoring and automation solutions
</li><li>Collaborate with cross-functional teams to support data-driven strategies and business decisions
</li><li>Aid in the preparation and maintenance of detailed reporting models and dashboards
</li><li>Conduct exploratory data analysis to identify trends and opportunities for growth within Uber Ads
</li><li>Assist in designing and implementing data automation frameworks to enhance operational processes
</li></ul><b>Basic Qualifications:
</b><ul><li>4+ years' experience in Analytics, Business Intelligence, Automation, Data Science or similar
</li><li>Previous experience in Data Automation
</li><li>Experience within data visualization platform such as Tableau, PowerBI or similar
</li><li>Advanced proficiency in SQL for complex data querying and manipulation; <b>live assessment required for interview process</b>
</li><li>Advanced proficiency in Python, with a focus on data extraction, transformation, and automation; <b>live assessment required for interview process</b>
</li><li>Bachelor's degree, preferably within Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field
</li></ul><b>Preferred Qualifications:
</b><ul><li>Understanding of digital advertising or media analytics
</li><li>Experience with Python web development framework such as Flask or Django
</li><li>Experience with leveraging GenAI to automate workflow and/or data analysis
</li>Ability to work in a fast-paced, dynamic environment and manage multiple priorities<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For New York, NY-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Data Analyst, Measurement Science, Ads

Google

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics or a related field and 6 years of experience in the job offered or in a Business Data Science-related occupation.
  </li>
  <li>
   Alternatively, will accept a Master&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics or a related field, and 4 years of experience in the job offered or in a Business Data Science-related occupation.
  </li>
  <li>
   Position requires 4 years of experience in the following:
  </li>
  <ul>
   <li>
    SQL for querying databases and extracting data
   </li>
   <li>
    Data extraction, manipulation, and cleaning for analysis
   </li>
   <li>
    Framing ambiguous business problems into tractable quantitative problems
   </li>
   <li>
    Python or R for statistical analysis and implementing algorithms
   </li>
   <li>
    Presenting and defending data-driven solutions to senior leadership
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 The US base salary range for this full-time position is $169,550 - $239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 <br/>
 <br/>
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 <br/>
 <br/>
 Position reports to the Google New York, New York office and may allow for a hybrid schedule per Google policy.
 <br/>
 <br/>
 The Global Business Organization (GBO) is the engine that powers Google&rsquo;s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with stakeholders to translate business goals into tractable analytical questions, defining requirements and roadmaps.
  </li>
  <li>
   Lead the gathering, extraction, and validation of data from diverse sources, ensuring quality, security, and confidentiality.
  </li>
  <li>
   Formulate and interpret complex datasets to generate actionable conclusions and provide expert guidance on analytical challenges.
  </li>
  <li>
   Develop key performance metrics and create automated dashboards and tools to monitor solutions and guide product decisions.
  </li>
  <li>
   Drive product strategy by identifying gaps through data analysis, helping teams prioritize work, and influencing business decisions. Implement and scale solutions by writing production-level code, creating reusable documentation, and driving adoption of recommendations.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Business and Marketing Data Scientist

Fanatics

<div><div><div><p><b>About Fanatics Advertising</b></p>
</div><div><p>Fanatics Advertising is building the world&rsquo;s leading sports media network, connecting brands with fans across Fanatics&rsquo; ecosystem of e-commerce, collectibles, media, and live events. We help advertisers reach highly engaged sports audiences through data-driven media products, unique commerce integrations, and premium sponsorship opportunities.</p></div><br>
<p></p><div><p><b>The Role</b></p>
</div><div><p>The Sr. Manager - Ads Data Platform is a <b>senior individual contributor</b> role, with significant autonomy and technical ownership. This role is responsible for owning and evolving the ads-specific data layer that underpins Fanatics Ads, from strategy through execution.</p></div><br>
<p></p><div><p>The role defines the data foundations that power audience targeting, contextual solutions, identity, activation, and reporting across onsite and offsite advertising products. It requires deep technical fluency, strong product instincts, and the ability to independently drive complex initiatives across teams.</p></div><br>
<p></p><div><p>This role extends and complements the work of the core FanGraph and owns all Ads-centric data requirements, schemas, taxonomies, and outputs. Acting as a single-threaded owner, the Ads Data Platform Lead ensures Fanatics Ads has a scalable, privacy-forward, and future-proof data strategy.</p></div><br>
<p></p><div><p>This is a high-impact IC role with end-to-end ownership of strategy, roadmap, prioritization, and delivery, operating with minimal oversight and significant influence across Product, Engineering, and partner teams.</p></div><br>
<p></p><div><p><b>What You&rsquo;ll Do:</b></p>
</div><div><ul><li>Own the Ads Data Platform roadmap, defining the ads-specific data layer that extends FanGraph capabilities and supports onsite and offsite Ads products.</li>
</ul></div><div><ul><li>Act as the single-threaded owner for all Ads-centric data requirements, schemas, taxonomies, and downstream outputs.</li>
</ul></div><div><ul><li>Lead the evolution of the Ads-centric FanGraph, including identifying, evaluating, and onboarding new data sources to improve audience and contextual depth.</li>
</ul></div><div><ul><li>Own Fanatics Ads&rsquo; identity strategy, including partner expansion, addressability improvements, and activation readiness.</li>
</ul></div><div><ul><li>Own CDP configuration and export pipelines across the Ads ecosystem, ensuring reliable, privacy-safe audience activation to SSPs and other partners.</li>
</ul></div><div><ul><li>Define Ads reporting schemas and metric definitions, including delivery and audience insight outputs.</li>
</ul></div><div><ul><li>Enable advertiser-facing insights and internal reporting through standardized, scalable data outputs.</li>
</ul></div><div><ul><li>Lead the data foundations for Fanatics Ads&rsquo; DCR (Dynamic Creative / Data-Driven Creative) offering.</li><br>
</ul></div><p></p><div><p><b>What We&rsquo;re Looking For:</b></p>
</div><div><ul><li>8&ndash;12+ years of experience in ads data platforms, ad tech, or large-scale data systems, with clear ownership of complex, cross-functional initiatives</li>
</ul></div></div><div><div><ul><li>Hands-on experience designing and owning CDP configurations, SSP/DSP integrations, and audience export pipelines</li>
</ul></div><div><ul><li>Strong technical fluency across data models, schemas, pipelines, identity, and platform architecture; able to engage deeply with engineering without requiring day-to-day coding</li>
</ul></div><div><ul><li>Advanced SQL proficiency with hands-on experience working in modern cloud data warehouses (e.g., Snowflake) to explore data, validate pipelines, and define data outputs</li>
</ul></div><div><ul><li>Comfort acting as a single-threaded owner for a critical platform surface with high visibility and impact</li>
</ul></div><div><ul><li>Strong cross-functional communication skills, with the ability to influence without direct authority</li><br>
</ul><p></p><p><i>Achieving our goals requires strong collaboration and partnership between our teams and our internal stakeholders. To best support this, the person who accepts this role is expected to be on site, in office four days per week. To provide our employees with flexibility, we offer a unique benefit where employees at Fanatics' corporate entity can work remotely for up to four weeks per year, which can be taken in daily or weekly increments.</i></p><br>
<p></p><p>The salary range for this position is <b>$190,000 to $238,000,</b> which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.</p>
</div></div><div>Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting &amp; Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.</div></div>

Sr. Manager, Ads Data Platform Lead

Harlem Children's Zone

<div><p>Harlem Children&rsquo;s Zone (HCZ) &mdash; a world-renowned education and poverty-fighting organization based in New York &mdash; seeks an enthusiastic, dedicated, and mission-aligned Senior Salesforce Analyst for the Research and Evaluation Department.</p><p></p><p>
The <b>Senior Salesforce Analyst</b> will bring a passion for the mission of Harlem Children&rsquo;s Zone: break the cycle of intergenerational poverty with comprehensive, on-the-ground programming that builds up opportunities for children and families to thrive in school, work, and life.</p><p></p><p><br>
Harlem Children's Zone seeks a <b>Senior Salesforce Analyst</b> to join our Data Science team within the Research and Evaluation Department, reporting to the Director of Data Science. As a crucial team member, you will play a key role in shaping our Salesforce strategy, providing technical expertise, and ensuring the long-term success of our Salesforce instance. The ideal candidate is a forward-thinking individual with a solid technical background and experience in Salesforce administration and project management.
</p><p></p><p>For more information, check out Want to Work at Harlem Children&rsquo;s Zone. Here&rsquo;s 7 Things You Need to Know.</p><b><br>
Requirements</b><br>
<ul><li>
A bachelor's degree in Business Administration, Information Systems, Computer Science, or a combination of relevant education and equivalent professional experience.</li><li>
Minimum of 5+ years of experience in Salesforce administration and development, with experience creating and implementing Salesforce data strategy, preferably at a non-profit organization.</li><li>
Salesforce Apex Certification
</li></ul><p></p><b>Who You Are</b><ul><li>
Deep experience with Nonprofit Success Pack (NPSP) (required), Education Cloud, Marketing Cloud, Analytics Cloud, and Tableau CRM/Einstein Analytics.</li><li>
Expert-level knowledge of current Salesforce features, roadmap, and emerging technologies.</li><li>
Advanced proficiency in creating complex flows, process automation, and workflow optimization; strong knowledge of Apex, SOQL, and Lightning Platform development.</li><li>
Experience with Salesforce implementation; familiarity with data modeling and object-oriented design.
</li><li>Proven track record in data analysis, reporting, and dashboard creation with a focus on actionable insights.</li><li>
Strong project management and stakeholder management skills with the ability to lead cross-functional initiatives.</li><li>
Excellent communication skills for both technical and non-technical audiences, and a collaborative mindset.</li><li>
Strategic mindset with the ability to align technology solutions with organizational objectives and long-term vision.</li></ul><p></p><b>
What You&rsquo;ll Do</b><ul><li>
Develop and communicate a strategic vision for HCZ&rsquo;s Salesforce architecture.</li><li>
Design and implement scalable and efficient solutions to address business needs, aligning with industry best practices and HCZ&rsquo;s mission, values, and goals, in collaboration with the Salesforce Administrator and internal/external stakeholders. Solutions should be oriented towards increasing automation, easing data entry, improving data quality, and reducing data storage.</li><li>
Utilize expertise in Salesforce administration, Apex, flows, and database management to implement and customize Salesforce solutions.</li><li>
Manage and lead complex projects related to Salesforce, from planning and execution to monitoring and closure.</li><li>
Collaborate with department heads and cross-functional teams to identify project requirements, scope, and timelines.</li><li>
Ensure compliance with data privacy and security policies, including adherence to industry best practices, in collaboration with the Salesforce Administrator.</li><li>
Evaluate, select, and manage relationships with third-party vendors and integration tools in collaboration with the Director of Data Science and support their integration into the Salesforce environment.</li><li>
Provide technical mentorship and guidance to Salesforce Administrator and junior team members.</li><li>
Develop training materials and conduct knowledge transfer sessions.</li><li>
Stay current with Salesforce releases and industry best practices, sharing insights with the broader organization.</li><li>
Support day-to-day Salesforce administration tasks as needed, ensuring seamless operations.</li></ul><p></p><b>
Schedule</b><ul><li>
Monday through Friday, 9 AM - 5 PM
</li><li>Hybrid (3 days in the office, 2 days remote)</li><li>
This is an exempt, full-time position under applicable wage and hourly laws</li></ul><p></p><b><br>
Benefits</b><p><br>
As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping the Evaluation Department thrive. We offer highly competitive salaries, a comprehensive benefits package, and growth opportunities.</p><p>
Our exceptional full-time benefits include:</p><ul><li>
Highly competitive base salaries</li><li>
Paid time off</li><li>
Employee referral bonus</li><li>
Career Advancement</li><li>
No-cost health insurance</li><li>
Life Insurance</li><li>
Short-and long-term disability</li><li>
Additional voluntary benefits</li><li>
Wellness discounts</li><li>
Commuter benefits</li><li>
Financial wellness perks</li><li>
Additional Benefits (Discounts on flights, hotels, theme parks, concert tickets, and more.)</li></ul><p></p><p>
The salary range for this position is $85,000-$95,000 per year. To be considered, interested applicants should apply directly through the posting. No telephone inquiries or recruiters, please. Replies will only be sent to qualified applicants. Harlem Children's Zone and Promise Academy Charter Schools are unable to provide employment visa sponsorship for this position.</p></div>

Senior Salesforce Analyst

Lyft

<div>
 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.
 <br/>
 <br/>
 Data Science is at the heart of Lyft&rsquo;s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world&rsquo;s best transportation solutions. We tackle a wide range of challenges&mdash;from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.
 <br/>
 <br/>
 We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You&rsquo;ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leverage data and analytical frameworks to identify opportunities for improving operational efficiency
  </li>
  <li>
   Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
  </li>
  <li>
   Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
  </li>
  <li>
   Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions
  </li>
  <li>
   Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence
  </li>
  <li>
   Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets
  </li>
  <li>
   Be proactive in pursuing opportunities and have a true ownership mindset to get things done
  </li>
  <li>
   Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s, Master&rsquo;s, or PhD in a quantitative field such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience.
  </li>
  <li>
   3+ years of industry experience in decision science, analytics, statistics, or data science, with a track record of influencing strategy and business outcomes through data.
  </li>
  <li>
   Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration.
  </li>
  <li>
   Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy is a plus.
  </li>
  <li>
   Proficiency in SQL, Python, and tools for data manipulation, statistical modeling, visualization, and reproducible pipelines.
  </li>
  <li>
   Ability to translate analytical insights into clear, actionable recommendations for both technical and executive audiences.
  </li>
  <li>
   Proven success driving alignment and influencing cross-functional teams in fast-paced, ambiguous, high-stakes environments.
  </li>
  <li>
   Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs.
  </li>
  <li>
   Experience working with financial data is a plus.
  </li>
  <li>
   Experience building and scaling monitoring systems and business health dashboards that identify anomalies, trends, and opportunities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <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 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>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 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
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 The expected base pay range for this position in the San Francisco area is $128,000 - $160,000, 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.
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Data Scientist, Decisions - Central Market Management

Explore 1850+ Senior marketing data analyst in New York this March. Find roles across top companies and apply now to boost your career.