data analyst

MaintainX

<div>
 MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
 <br/>
 <br/>
 We're growing fast and hiring the talent to match.
 <br/>
 <br/>
 As a
 <strong>
  Data Analyst - GTM
 </strong>
 , you will use your expertise in analysis &amp; BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data &amp; Analytics team - who are tasked with supporting MX as a whole.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner&mdash;anticipating needs &amp; prioritizing execution
  </li>
  <li>
   Accountable for marketing BI infrastructure: Build, maintain &amp; enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
  </li>
  <li>
   Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
  </li>
  <li>
   Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
  </li>
  <li>
   Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
  </li>
  <li>
   Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
  </li>
  <li>
   Budget setting: Support stakeholders with goal setting &amp; related reporting
  </li>
  <li>
   Information sharing: Present dashboards, results and recommendations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
  </li>
  <li>
   4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
  </li>
  <li>
   You're a builder, not just an analyst: You don't just answer questions&mdash;you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
  </li>
  <li>
   You're a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
  </li>
  <li>
   You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
  </li>
  <li>
   Strong proficiency in Tableau and Salesforce
  </li>
  <li>
   Excellent SQL skills and experience with database management systems &amp; pipelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What&rsquo;s In It For You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and meaningful equity opportunities.
  </li>
  <li>
   Healthcare, dental, and vision coverage.
  </li>
  <li>
   401(k) / RRSP enrollment program.
  </li>
  <li>
   Take what you need PTO.
  </li>
  <li>
   A Work Culture where:
  </li>
  <ul>
   <li>
    You&rsquo;ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
   </li>
   <li>
    We believe in meritocracy, where ideas and effort are publicly celebrated.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Our mission is to deliver one platform for maintenance, repair &amp; operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That&rsquo;s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
 <br/>
 <br/>
 MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>


Data Analyst, GTM

Forge

<div>
 At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.
 <br/>
 <br/>
 With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge's goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.
 <br/>
 <br/>
 Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.
 <br/>
 <br/>
 Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 We are looking to hire a
 <strong>
  Senior Data Analyst
 </strong>
 to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models &mdash; ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction.
  </li>
  <li>
   Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources.
  </li>
  <li>
   Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies.
  </li>
  <li>
   Automate recurring reporting and analytics processes using Python.
  </li>
  <li>
   Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders.
  </li>
  <li>
   Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge.
  </li>
  <li>
   Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4 years of experience in analytics, product analytics, data science or a related field.
  </li>
  <li>
   Expert-level SQL (advanced queries, optimization, and performance tuning).
  </li>
  <li>
   Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling.
  </li>
  <li>
   Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake.
  </li>
  <li>
   Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap.
  </li>
  <li>
   Demonstrated ability to develop predictive models and apply statistical analysis in a business context.
  </li>
  <li>
   Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses.
  </li>
  <li>
   Strong communication and storytelling skills &mdash; able to present complex insights in a clear, actionable way to both technical and non-technical audiences.
  </li>
  <li>
   Track record of working cross-functionally and managing multiple stakeholders and priorities.
  </li>
  <li>
   Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field.
  </li>
  <li>
   Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   For residents of San Francisco, CA the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors
   <br/>
   <br/>
  </em>
 </strong>
 Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.
 <br/>
 <br/>
 Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.
</div>


Senior Data Analyst

Horizontal Talent

<div>
 Join a dynamic team where your analytical skills will drive innovation in transportation technology. This role offers the opportunity to work on exciting projects that enhance urban mobility and connect communities.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enhance map data quality and coverage through rigorous analysis and reporting.
  </li>
  <li>
   Create and maintain dashboards to track key performance indicators and identify data quality issues.
  </li>
  <li>
   Collaborate with cross-functional teams to translate analytical insights into actionable product improvements.
  </li>
  <li>
   Lead deep-dive reviews and contribute to program status updates and KPI planning.
  </li>
  <li>
   Manage the lifecycle of analytical models and support product analytics across various experiences.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in engineering, science, analytics, GIS, or equivalent experience.
  </li>
  <li>
   Proficiency in SQL and data visualization tools to derive actionable insights.
  </li>
  <li>
   Strong communication skills for engaging with internal stakeholders.
  </li>
  <li>
   Advanced analytical and problem-solving abilities.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with AI data tools such as Mode or Hex.
  </li>
  <li>
   Experience in cross-functional collaboration with product management and engineering teams.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We are committed to fostering a diverse and inclusive workplace where all individuals are valued and empowered to succeed. Diversity, equity, and inclusion are integral to our company culture and mission.
 <br/>
 <br/>
 By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
 <br/>
 <br/>
 Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $49 per hour based on qualifications and experience.
</div>


Data Analyst, Mapping

SmithRx

<div><p><b>Who We Are:</b></p>
<p>
SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.</p>
<p>
We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:</p>
<ul>
<li><b>Integrity:</b> Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.</li>
<li><b>Courage:</b> We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward&mdash;always.</li>
<li><b>Together: </b>The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.</li>
</ul>
<p><b>Job Summary:</b></p><br>
<p>
You are the source of truth for member data on the MCSS (Member Communications Shared Services) team. While the Marketing Operations Manager owns the pipes that deliver communications, you own what flows through them &mdash; the accuracy, completeness, and integrity of every member list. You are responsible for sourcing, validating, and preparing member data drawn from many internal systems, ensuring that every letter, email, and text we send reaches the right member with the right information.</p>
<p>
At SmithRx, data integrity is a legal requirement &mdash; not a best practice. Our member communications are heavily regulated and compliance-driven, and this role works directly with Protected Health Information (PHI). A single bad record isn't a minor error; it's a risk to our members and our business. You will report directly to the Member Comms Team Lead and maintain a dotted-line relationship with our centralized Data team &mdash; contributing to shared Snowflake data models, aligning with enterprise data standards, and coordinating on upstream changes that affect member communications. Over time, high performers in this role will have the opportunity to expand their scope beyond member communications into broader marketing analytics.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><b>Data Sourcing &amp; List Building</b>
<ul><li>Own the end-to-end process of extracting and compiling member lists from multiple internal data sources &mdash; eligibility systems, pharmacy data, client records, and more &mdash; for use across email, SMS, and print communications. Your primary workspace is Snowflake, querying across the data models maintained by our Data Engineering and Analytics teams.</li>
</ul></li></ul><ul><li><b>Data Quality &amp; Validation</b>
<ul><li>Define and enforce data quality standards across all member lists before they enter the delivery pipeline. Build and maintain automated checks that surface anomalies &mdash; duplicate records, missing fields, invalid formats, eligibility mismatches &mdash; before a single message is triggered.</li>
</ul></li></ul><ul><li><b>PHI Stewardship &amp; Compliance</b>
<ul><li>Handle Protected Health Information with the rigor and discipline it demands. Own suppression list logic, ensuring members who have opted out, are ineligible, or fall under regulatory exclusions are accurately reflected across all lists at all times. Treat opt-out, preference, and PHI data as the highest-priority data in the pipeline.</li>
</ul></li></ul><ul><li><b>Cross-Functional Partnership</b>
<ul><li>Work hand-in-hand with the Marketing Operations Manager to ensure lists are formatted, mapped, and structured exactly to the schema required by communication platforms. Maintain an active working relationship with the centralized Data team &mdash; contributing to shared data models and quality standards, staying aligned on upstream changes, and advocating for member communications data needs at the infrastructure level.</li>
</ul>
</li></ul><p><b>What you will do:</b></p>
<ul>
<li>Extract, transform, and validate member data from multiple internal systems using Snowflake, producing clean, audit-ready lists for every communication send</li>
<li>Build and maintain automated data validation workflows that catch quality issues &mdash; gaps, duplicates, mismatched fields, ineligible members &mdash; before lists are handed to Marketing Operations</li>
<li>Own suppression and exclusion logic, including regulatory opt-outs, eligibility exclusions, and client-specific rules, and ensure they are consistently applied across all channels and send types</li>
<li>Partner closely with the Marketing Operations Manager on list specifications, field mapping requirements, and pre-send data checks &mdash; you are the upstream dependency for every campaign they deploy</li>
<li>Maintain clear documentation of data sources, transformation logic, field definitions, and business rules to support auditability and regulatory compliance</li>
<li>Collaborate with the centralized Data team to stay aligned on Snowflake data model changes, contribute to shared data quality standards, and represent member communications requirements in data infrastructure decisions</li>
<li>Proactively identify, escalate, and root-cause data quality issues, partnering with the Member Comms Team Lead and internal data owners to drive resolution</li>
<li>Support ad-hoc data pulls for compliance reporting, campaign sizing, program performance analysis, and regulatory inquiries</li>
</ul>
<p><b>What you will bring to SmithRx:</b></p>
<ul>
<li>4+ years of hands-on experience in data analytics, data operations, or a closely related discipline</li>
<li>Experience working with Protected Health Information (PHI) and a working knowledge of HIPAA requirements as they apply to data handling &mdash; this is a requirement, not a nice-to-have</li>
<li>Strong SQL proficiency in Snowflake &mdash; comfortable writing complex queries, joining across multiple sources, and transforming raw data into clean, validated output</li>
<li>A quality-obsessed approach to data &mdash; you have experience building validation logic, reconciling data across systems, and treating data integrity as non-negotiable</li>
<li>Familiarity with member or customer data concepts including suppression lists, opt-out and preference management, eligibility logic, and regulated data handling</li>
<li>Experience working within a shared data infrastructure (e.g., contributing to or consuming dbt models, working alongside Data Engineering or Analytics teams) strongly preferred</li>
<li>Strong cross-functional communication skills &mdash; you can translate data findings and quality issues clearly to both technical and non-technical stakeholders</li>
<li>Healthcare or PBM industry experience is strongly preferred</li>
<li>A security-first mindset: You treat every member record as if it were your own medical history &mdash; because to someone, it is</li>
</ul>
<p><b>What SmithRx Offers You:</b></p>
<ul>
<li>Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&amp;D Insurance</li>
<li>Flexible Spending Benefits</li>
<li>401(k) Retirement Savings Program</li>
<li>Short-term and long-term disability</li>
<li>Discretionary Paid Time Off</li>
<li>Paid Company Holidays</li>
<li>Wellness Benefits</li>
<li>Commuter Benefits</li>
<li>Paid Parental Leave benefits</li>
<li>Employee Assistance Program (EAP)</li>
<li>Well-stocked kitchen in office locations</li>
<li>Professional development and training opportunities</li></ul></div>

Marketing Data Analyst

Common Sense Media

<div><p><b>Data Scientist</b></p><div></div><div><div><div><div><p><b>
Organization</b></p><p><br>
Common Sense Media</p></div><div><p><b><br>
Department</b></p><p><br>
Data</p></div><div><p><b><br>
Reports To</b></p><p><br>
Senior Director, Data &amp; Analytics</p></div><div><p><b><br>
Location</b></p><p><br>
San Francisco, CA</p></div><div><div><p><b><br>
Classification</b></p><p><b><br>
Salary Range</b></p></div><div><p><br>
Full-time, Exempt</p>
<p>$140,00&ndash;$166,250</p></div></div><br>
</div></div></div><p>
</p><p></p><p><b>POSITION OVERVIEW</b></p><p>
Common Sense Media is seeking a Data Scientist to help build data capabilities that allows the organization to answer the questions that matter most to advancing our mission and driving impact for kids and families. This is a hands-on, full-stack individual contributor role responsible for developing pipelines, models, and analyses that turn data from across the Common Sense Media ecosystem into reliable, decision-ready insights.</p><p>
The Data Scientist will develop predictive and statistical models that support organization-wide decisions, design and analyze experiments, apply causal inference methods, and lead impact analyses that measure how Common Sense Media's work affects kids, families, and educators, translating findings into clear, actionable recommendations for both technical and non-technical audiences. The Data Scientist's work will span the full range of data science at Common Sense Media, from foundational data engineering and data modeling through analytics, machine learning, experimentation, and impact analysis.</p><p>
As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.</p><p>
</p><p><b>KEY RESPONSIBILITIES</b></p><p><i>
Analytics &amp; Modeling</i></p><ul><li><p>
Conduct rigorous exploratory and descriptive analyses that establish the foundational understanding of our audiences, programs, and performance.</p></li><li><p>
Develop predictive and statistical models that support organization-wide decisions.</p></li><li><p>
Apply modern machine learning techniques to ship models and analyses that drive impact.</p></li></ul><p><i>
Experimentation &amp; Causal Inference</i></p><ul><li><p>
Design and execute A/B tests and randomized controlled trials.</p></li><li><p>
Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.</p></li></ul><p><i>
Impact Measurement</i></p><ul><li><p>
Lead rigorous impact analyses and program evaluations that measure how Common Sense Media's work affects kids, families, and educators.</p></li><li><p>
Apply causal inference and evaluation methods to measure real-world outcomes.</p></li></ul><p><i>
Insights &amp; Communication</i></p><ul><li><p>
Translate findings into clear, actionable recommendations for both technical and non-technical audiences.</p></li><li><h1 class="jobSectionHeader">
Partner closely with colleagues across Common Sense Media to put data to work across the organization.</h1></li></ul><p><i><br>
Analytics Engineering</i></p><ul><li>
Own the data models that turn raw data into clean, reliable, analysis-ready data sets used across the organization.</li><li>
Work with internal teams and external partners to establish data collection approaches, integrate new data sources, and ensure that incoming data is structured and trustworthy.</li><li><h1 class="jobSectionHeader">
Build and maintain the data pipelines and transformations necessary to support modeling, reporting, and impact measurement.</h1></li></ul><p><i><br>
Technical Leadership</i></p><ul><li><p>
Serve as a senior technical voice on the team, advising on methodology and raising the technical bar around how to use data in thoughtful decision-making.</p></li><li><p>
Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.</p></li></ul><p>
</p><p><b>QUALIFICATIONS</b></p><ul><li>
8+ years of experience in applied data science, analytics, or a closely related quantitative field, with a track record of shipping models and analyses that have changed decisions.</li><li>
Strong hands-on skills in SQL and Python or R, and expert use of standard machine learning libraries.</li><li>
Experience building and maintaining production data pipelines using modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalents).</li><li>
Demonstrated experience designing and analyzing experiments, including A/B tests, quasi-experiments, and causal inference methods.</li><li>
Experience leading rigorous impact or program evaluation that measures real-world outcomes.</li><li>
Experience mentoring junior data scientists.</li><li>
Excellent written and verbal communication skills, with the ability to translate technical work into clear narratives for both technical and non-technical audiences.</li><li>
Demonstrated ability to serve as a senior technical voice within an organization, raising the technical bar of teammates and helping non-technical colleagues use data and AI tools effectively in their work.</li><li><h1 class="jobSectionHeader">
Strong understanding of data governance, privacy, and responsible data and AI practices, with particular sensitivity to data involving children and families.</h1></li><li><h1 class="jobSectionHeader">
Familiarity with product analytics, CRM, and marketing platforms (Amplitude, Google Analytics, Salesforce, Braze) and their underlying data structures is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience building predictive models for subscription, retention, lifetime value, or similar member or customer lifecycle problems is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience implementing and evaluating generative AI or LLM-based solutions, including prompt engineering, fine-tuning, retrieval-augmented generation, or self-hosted models, with rigorous evaluation against human or ground-truth baselines, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience designing AI evaluation frameworks, including human-in-the-loop evaluation, bias and fairness assessment, and ongoing monitoring of model performance, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Prior experience in a mission-driven, nonprofit, education, or media organization is a plus.</h1></li></ul><p>
</p><p><b>WHAT WE OFFER</b></p><ul><li>
The opportunity to really make a difference in the lives of kids and families!</li><li>
A mission-driven team with a 23-year track record of impact for families and children.</li><li>
Competitive nonprofit compensation and comprehensive benefits.</li><li>
A collaborative, flexible work environment with meaningful leadership access and visibility.</li></ul><p>
</p><p><b>ABOUT COMMON SENSE MEDIA</b></p><p>
Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.</p></div><p></p>

Data Scientist

Data Scientist, Product Analytics

Ennoble Care

<div><div><p><b>About Us</b></p>
<p>
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, &quot;To Care is an Honor.&quot; Join Ennoble Care today!</p></div><h3 class="jobSectionHeader"><b>
Position Overview</b></h3>
<p>
We are seeking an experienced Actuary (5+ years of experience) for our value-based care (VBC) team. This role requires a seasoned professional in <b>medical economics, actuarial, or equivalent data analytics experience</b> who can navigate the complex landscape of Medicare risk models, value-based care arrangements, and population health analytics. The ideal candidate will play a critical role in optimizing our organization's performance under CMS total cost of care models while ensuring sustainable financial outcomes. Candidates will ideally have their ASA certification or have passed at least the first three exams.</p>
<p>
This role is currently scoped as an individual contributor, with a growth trajectory toward leadership over time.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<h4 class="jobSectionHeader"><b>Data Management &amp; Medicare Analytics</b></h4>
<ul><li>Analyze VBC performance under various CMS and CMMI total cost-of-care models.</li>
<li>Monitor and forecast financial performance across assigned patient populations.</li>
<li>Conduct comprehensive claims analysis using CCLF (Claims and Claims Line Feed) and BCDA (Beneficiary Claims Data API) datasets.</li>
<li>Refine key reporting and projection methodologies, including IBNR and Risk Score projections.</li>
<li>Process and analyze large healthcare datasets, combining multiple data sources including EHR systems and Medicare claims data.</li>
<li>Ensure data quality and integrity across all analytical processes.</li>
<li>Develop and maintain SQL-based data structures to support population experience studies and VBC program analytics.</li>
</ul><h4 class="jobSectionHeader"><b>Business Intelligence &amp; Reporting</b></h4>
<ul><li>Create fit-for-purpose analytical reports that translate complex actuarial findings into actionable business insights.</li>
<li>Develop executive dashboards and performance metrics aligned with organizational strategic goals.</li>
<li>Present findings and recommendations to leadership teams and clinical stakeholders.</li>
<li>Support budget planning and financial forecasting processes.</li>
</ul><h4 class="jobSectionHeader"><b>Regulatory Compliance &amp; Process Improvement</b></h4>
<ul><li>Stay current with evolving CMS and CMMI program requirements and quality measures.</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Education &amp; Certification</b></h4>
<ul><li>Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, or related quantitative field</li>
<li>ASA credentials preferred for Actuarial candidates</li>
</ul><h4 class="jobSectionHeader"><b>Experience Requirements</b></h4>
<ul><li>Strong healthcare data analytics experience in Medicare-focused or Medicare Advantage environments (5+ years of experience)</li>
<li>Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models</li>
<li>Experience working with CMS and CMMI total cost of care (ACO) programs</li>
<li>Proven track record spearheading claims analytics using Medicare claims data</li>
<li>In-depth knowledge of healthcare billing processes from both provider and CMS perspectives</li>
</ul><h4 class="jobSectionHeader"><b>Technical Proficiency</b></h4>
<ul><li>Advanced proficiency in Microsoft Excel and model building</li>
<li>Strong SQL skills with the ability to write complex queries</li>
<li>Experience with the Microsoft Azure cloud platform and related analytics tools preferred</li>
<li>Experience with integrating data across multiple large, nuanced data sources (e.g., integration of EHR data with claims datasets)</li>
<li>Experience developing/integrating AI-forward workflows into analytics</li>
</ul><h4 class="jobSectionHeader"><b>Core Competencies</b></h4>
<ul><li>Exceptional analytical and problem-solving capabilities</li>
<li>Strong business acumen with the ability to translate technical findings into strategic recommendations</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Proven team player with a collaborative approach to cross-functional projects</li>
<li>Demonstrated capability to understand and respond to evolving business needs</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Compensation</b></h4>
<ul><li>The salary range is $150- 170k with a $30- 40k bonus range</li></ul><p></p><div><p><b><br>
Full-time employees qualify for the following benefits:</b></p>
<ul>
<li>Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.</li>
<li>Paid Time Off</li>
<li>Paid Office Holidays</li>
</ul>
<p><b>All employees qualify for these benefits:</b></p>
<ul>
<li>Paid Sick Time</li>
<li>401(k) with up to 3% company match</li>
<li>Referral Program</li>
<li>Payactiv: pay-on-demand. Cash out earned money when and where you need it!</li>
</ul>
<p><b>Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.</b></p>
<p><i>
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against </i><i>protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national </i><i>origin, religion, disability, and veteran status.</i></p></div></div>

Actuary – Value-Based Care

Explore 124+ Data analyst in San Francisco this July. Find roles across top companies and apply now to boost your career.