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analytics specialist

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for our fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are currently recruiting for a Data Scientist within the multidisciplinary Advertising Product Insights team. This role is focused on supporting the scaling of the future of Spotify Advertising, our self-service advertising platform, Spotify Ads Manager. Our work sits at the intersection of R&amp;D and the Ads business, and we are responsible for bringing the right data and insights to our breadth of stakeholders to understand Spotify Ads Manager performance, and the advertiser experience with Spotify.</div><div><br>
</div><div>Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use a range of data science tools and capabilities to work closely with product, design, engineering, user research, product marketing, and our business stakeholders on one or more of the following areas:</div><div><br>
</div><div>Customer facing product development for advertisers</div><div>
Data requirements and management for our ever expanding platform</div><div>
Spotify Advertiser and Spotify Ads Manager growth initiatives</div><div>
Experimentation, causal inference and Insights for Spotify Ads Manager optimization</div><div>
Defining new metrics, forecasts, and benchmarks for product evolution</div><div>
Evolving Ads Manager self-service performance and UX reporting
</div></div></div></div><div><div><p>What You'll Do</p><ul><ul><li>
Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions throughout all stages of the product development lifecycle</li><li>
Define data requirements and support the implementation of data specs for product launches</li><li>
Support the management and maintenance of the Spotify Ads Manager&rsquo;s data and reporting (including dashboards) ecosystem</li><li>
Build lasting solutions to surface critical data and performance metrics</li><li>
Design and conduct experiments to drive iterative improvement to both user and advertiser metrics through efficient experimentation</li><li>
Communicate data-driven insights and recommendations to key partners</li><li>
Develop individually to continue to grow your impact, and help mentor peers and early career colleagues</li></ul></ul></div></div><div><div><p>
Who You Are</p><ul><ul><li>
You have 3+ years experience in a similar data science role</li><li>
You are interested in supporting the growth of a maturing platform, building the foundation for the future of Spotify Advertising</li><li>
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, product teams, sales teams or marketing teams</li><li>
You have the technical competence to perform more advanced analytics: Coding skills for analytics and data extraction (SQL, Python - packages such as pandas and numpy) and Data visualization (Tableau, Looker, matplotlib)</li><li>
You have experience performing analysis with large datasets</li><li>
You have a strong understanding of statistics and machine learning</li><li>
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis</li><li>
You are capable of solving very loosely defined problems</li><li>
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms</li><li>
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team</li></ul></ul></div></div><div><div><p>
Where You'll Be</p><ul><ul><li>
We are a distributed workforce enabling our band members to find a work mode that is best for them!</li><li>
Where in the world? For this role, it can be anywhere in the North America region in which we have a work location</li><li>
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.</li><li>
Working hours? We operate within the Eastern time zone for collaboration.</li></ul></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $107,766 - $153,951, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist, Advertising

Boston Consulting Group

<div><p><b>Locations</b>: Washington | Chicago | Atlanta | New York | Pittsburgh | Dallas | Denver | Houston</p><p>
Who We Are</p><p>
The Platinion People Team Senior Specialist provides program management (PMO) support and skilled execution capabilities to support Consulting Team and Business Service Team priorities and people processes in the Platinion office. This is a tremendous opportunity to help refine and execute the CT &amp; BST People Agenda in Platinion, with the goal of continuing to improve the end-to-end staff experience and offer best-in-class talent management support, while supporting other business needs. This individual will be integral to teaming with Talent Managers (TMs) and People Senior Manager to deliver on People priorities.</p><p></p><p><br>
By design, the Platinion People Team Senior Specialist will work across a broad set of topics &ndash; with multiple priorities that will vary over time and in alignment with the priorities of the leadership team and the Talent Senior Managers. Example priority areas will include supporting and executing best-in-class programmatic efforts focused on CT affiliation and belonging; Partner upskilling; Diversity, Equity and Inclusion; Learning and Development incl. Onboarding, technical upskilling, certifications; Career frameworks definition; CT development; mentorship; mobility programs; and more. Importantly, this individual will team most closely with the Talent Managers to drive special projects, define scope and roadmap as well as and drive execution.</p><p><b><br>
</b></p><p>The Platinion People Team Senior Specialist will at times play an important role in special projects and people analytics, whether supporting analysis of cohort pulse check data, formal global surveys (e.g., People Survey), participation to existing trainings and feedback collection, or other ad hoc system/local analyses. In this capacity, the Senior Specialist teams with the TMs and People Senior Manager to translate insights into required action or changes.</p><p></p><p><br>
The Senior Specialist will also coordinate with the TDA ecosystem, working with the TDA People Team Sr Manager and the TDA Programs Director to share best practices, identify areas for synergies and ensure plans are coordinated (e.g., TDA immersion sessions).</p><p></p><p><br>
This role&rsquo;s mandate may evolve over time as strategic programs and projects are identified &amp; implemented. Key priorities will be evaluated on an ongoing basis, to align with business needs and individual goals.</p><p><br>
What You'll Do</p><ul><li>
You are highly organized and able to plan appropriate project timelines, work backward from deadlines, identify milestones and owners, and execute against a project plan.
</li><li>You are able to juggle multiple competing priorities without letting balls drop, including prioritizing your own work and seeking input where needed.
</li><li>You enjoy problem solving and are good at it.
</li><li>You feel at ease with conceptual thinking and think through the impacts that an initiative will have in the organization. At the same time, you are highly practical &ndash; taking a &ldquo;get stuff done&rdquo; approach to work.
</li><li>You are comfortable in both &ldquo;design&rdquo; mode but also in &ldquo;execution&rdquo; mode &ndash; e.g., draft email communications, design a L&amp;D curriculum for a given cohort, provide project status updates , track participants, create meeting agendas, conduct follow-ups to ensure agreed actions are completed.
</li><li>You are a strong writer and are able to adapt your written communication to both the audience and the sender &ndash; e.g., email communication, slide writing.
</li><li>You are adept at and enjoy conducting data analysis with Excel.</li><li>
You are comfortable with technology topics, curious about AI and have experimented with technologies such as custom GPTs or Claude
</li><li>You are adept at using tools to organize project work and collaboration such as Trello, Confluence. You are able to build strong relationships based on trust.
</li><li>You are empathetic and consider other stakeholders&rsquo; perspectives. You team effectively across functions and across levels in the organization.
</li><li>You are also a team player who is willing to pivot to take on different work/activities in a pinch.
</li><li>You are comfortable brainstorming and working jointly as a team, and also owning your independent work and priorities.
</li><li>You seek feedback and development, are flexible, adaptable, and eager to learn new skills and content.</li></ul><p><br>
What You'll Bring</p><p>
This is a new position that sits at the intersection of a broad people agenda. In addition to the skills/strengths identified above, the Senior Specialist must have:</p><ul><li>
A minimum of three years of experience with increasing levels of responsibility, ideally at BCG.</li><li>
An undergraduate degree</li><li>
Comfort with a wide breadth of job responsibilities that cuts across People Agenda topics and types of day-to-day activity</li></ul><p><br>
Who You'll Work With</p><h1 class="jobSectionHeader"><b>
You will work most closely on a day-to-day basis with Talent Senior Managers (TSMs) and People and Business Operations Director. You will also have exposure to the broader leadership team (including Platinion and TDA leaders as well as Platinion Managing Director). You will collaborate with peers and others across people functions in Platinion and with TDA, e.g., staffing operations, Career Development, HR, Recruiting, L&amp;D, and Finance. You will also work with members of the consulting team in key leadership roles, depending on the initiative or priority (for example: ADs/CDs leading Platinion strategic initiatives, etc.).</b></h1><p><br>
Additional info</p><p>
At BCG, our people and relationships are at the heart of everything we do. We believe that in-person work is essential to our culture, mentorship, and professional development. That's why we operate on a hybrid model, with the expectation that team members will be in the office 3 to 5 days per week. This role is designed for those who thrive in a dynamic, collaborative environment and is not intended for remote or virtual work.</p><p></p><p><b><br>
Compensation Information:
</b></p><p>Total compensation for this role includes base salary, annual discretionary performance bonus, contributions to BCG&rsquo;s Profit Sharing and Retirement Fund (PSRF), and a market leading benefits package described below.</p><p></p><p><br>
Some local governments in the United States require job postings to include a reasonable estimate of base compensation. We expect your total annualized compensation to be approximately the following:</p><br>
<p></p><ul><li>
In New York City the base salary is between $100,000- $124,000 (USD); placement within this range will vary based on experience and skill level</li><li>
In Washington D.C. the base salary is between $98,000- $120,667 (USD); placement within this range will vary based on experience and skill level</li><li>
In Chicago and Denver the base salary is between $90,000- $111,333 (USD); placement within this range will vary based on experience and skill level</li><li>
In Dallas and Houston the base salary is between $88,000- $108,000 (USD); placement within this range will vary based on experience and skill level</li><li>
In Atlanta and Pittsburgh the base salary is between $86,000- $106,000 (USD); placement within this range will vary based on experience and skill level</li><li>
In other locations, competitive pay is commensurate with the role and geography</li><li>
Annual discretionary performance bonus between 0-12%</li><li>
5% Profit Sharing Retirement Fund (PSRF) contribution, increasing to 10% after two years of service. Contributions are vested immediately and there is no waiting period</li></ul><p></p><p><br>
All of our plans provide best in class coverage:</p><br>
<p></p><ul><li>
Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children</li><li>
Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs</li><li>
Dental coverage, including up to $5,000 in orthodontia benefits</li><li>
Vision insurance with coverage for both glasses and contact lenses annually</li><li>
Reimbursement for gym memberships and other fitness activities</li><li>
Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan</li><li>
Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement</li><li>
Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month)</li><li>
Paid sick time on an as needed basis</li></ul><div><br>
<br>
<ul><li>Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage.</li></ul></div><p></p><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.</p></div>

Platinion People Team Senior Specialist

REBAR

<div><p><b>About Rebar</b><br>
Rebar is building the operating system for commercial HVAC, Electrical, and Plumbing suppliers. As our AI-powered quoting engine scales across top suppliers in North America, measurement and evaluation become critical infrastructure.<br>
<br>
As a <b>Data Analytics Engineer</b>, you will build the systems that help us understand how our AI performs in the real world &mdash; where it succeeds, where it fails, and how it impacts downstream business outcomes. You will define core product metrics, implement monitoring frameworks, and ship internal and customer-facing data products that turn raw model outputs into trusted intelligence.<br>
<br>
This role sits at the intersection of <b>AI evaluation, product analytics, and data-driven product development</b>. You will be responsible both for developing new derivative data products that create value for our customers, as well as understanding how our AI systems succeed and fail in the real world, tracking those dynamics over time, and helping build derivative data products that create value for both internal teams and customers. This role is ideal for someone who enjoys building measurement systems and analytics infrastructure as much as answering business questions.<br>
<br>
<b>Required Qualifications</b></p><ul><li><p>
Bachelor&rsquo;s or Master's degree in Computer Science, Data Science, or other relevant field.</p></li><li><p>
Strong Python skills, SQL proficiency, and experience with Data Warehousing</p></li><li><p>
Experience working with large, real-world datasets and ambiguous problem definitions.</p></li><li><p>
Experience writing modular, testable analytics code and working in version-controlled environments.</p></li><li><p>
Ability to design meaningful metrics and evaluation frameworks for complex systems from scratch.</p></li><li><p>
Experience building data visualizations and dashboards.</p></li><li><p>
1&ndash;3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.</p></li><li><p>
Comfortable communicating quantitative insights to both technical and non-technical stakeholders.</p></li></ul><p><b>
Responsibilities</b></p><ul><li><p>
Help design and build data-driven product features on top of Rebar&rsquo;s historical datasets.</p></li><li><p>
Define, implement, and productionize metrics to measure AI system performance over time, including automated tracking and monitoring of regressions and drift.</p></li><li><p>
Analyze model failure modes across documents, projects, customers, and time &mdash; and communicate findings clearly to ML and product teams.</p></li><li><p>
Build durable data models, dashboards, internal tools, and lightweight product features that expose metrics, trends, and confidence signals to both internal teams and customers.</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Experience evaluating or monitoring ML systems in production.</p></li><li><p>
Familiarity with computer vision, NLP, or AI-driven products.</p></li><li><p>
Experience working at a startup or in a fast-moving product environment.</p></li></ul><p><b>
Compensation and Benefits</b></p><ul><li><p><b>
Salary</b>: $130-185K, dependent on experience</p></li><li><p><b>
Equity</b>: Meaningful equity package, commensurate with experience</p></li><li><p><b>
Benefits</b>: Comprehensive medical, dental, and vision coverage</p></li></ul><p>
This is a salaried, onsite role based in NYC (Flatiron).</p></div>

Data Analytics Engineer

Resonance

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory.
 <br/>
 <br/>
 With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands&mdash;including THE KIT and Rebecca Minkoff&mdash;to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You&rsquo;ll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack.
 <br/>
 <br/>
 In this role, you&rsquo;ll develop and maintain robust ELT pipelines, transforming data from diverse sources&mdash;including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms&mdash;into structured, accessible datasets within Snowflake. Additionally, you&rsquo;ll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses.
  </li>
  <li>
   Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making.
  </li>
  <li>
   Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users.
  </li>
  <li>
   Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions.
  </li>
  <li>
   Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance.
  </li>
  <li>
   Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness.
  </li>
  <li>
   Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of relevant experience in data engineering, analytics engineering, or a related field.
  </li>
  <li>
   Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices.
  </li>
  <li>
   Hands-on experience with Snowflake or similar cloud data warehousing platforms.
  </li>
  <li>
   Proficiency with SQL and database modeling techniques for analytics.
  </li>
  <li>
   Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered).
  </li>
  <li>
   Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms.
  </li>
  <li>
   Strong analytical mindset, problem-solving capabilities, and attention to detail.
  </li>
  <li>
   Excellent collaboration and communication skills in remote, cross- functional environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous startup or rapid-growth environment experience.
  </li>
  <li>
   Advanced knowledge of Snowflake performance optimization and cost management.
  </li>
  <li>
   Experience with Looker, LookML, and creating intuitive, interactive analytics products.
  </li>
  <li>
   Familiarity with Python scripting for data pipelines and automation.
  </li>
  <li>
   Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility.
 <br/>
 <br/>
 Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.
</div>


Data and Analytics Engineer

GlossGenius

<div>
 <p>
  <strong>
   About GlossGenius
  </strong>
 </p>
 <p>
  GlossGenius is building an ecosystem enabling entrepreneurs to succeed.&nbsp; We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.&nbsp;
 </p>
 <p>
  Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Data Analyst, you will play a key role in translating complex, cross-functional data into actionable insights that directly fuel our revenue growth and operational excellence. You will operate within the central Data Analytics team, providing analytical support to departments across Product, Sales, and Marketing to help drive data-informed decision-making. You will work closely with senior team members to execute analytical projects, contributing to the full lifecycle from data exploration to the final presentation of findings.
 </p>
 <p>
  You will report to the Manager, Data Analytics. You must be commutable to our NYC or San Francisco office and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Define and analyze cross-domain business metrics and KPIs such as customer retention, product utilization, customer growth and satisfaction, and operational efficiency
  </li>
  <li>
   Identify opportunities for optimization and revenue growth through analysis of customer performance data, measuring initiatives&rsquo; success, and defining the customer lifecycle
  </li>
  <li>
   Partner with Product by assisting with experimental design, tracking post-launch impact, and providing data-driven recommendations for iteration.
  </li>
  <li>
   Support the Machine Learning team&rsquo;s ML implementations with guidance on feature development, necessary business-context, and model evaluation
  </li>
  <li>
   Develop, maintain, and share digestible reports and dashboards related to team efficiency, customer lifecycle stages, and various dynamic elements of GlossGenius customers&rsquo; needs and behaviors
  </li>
  <li>
   Drive root-cause analyses for cross-domain business metric investigations&nbsp;
  </li>
  <li>
   Work closely with cross-functional teams, such as Product, Marketing, and Sales, to understand the commonalities of their data needs and use-cases, bridge knowledge gaps, and hone analytics workflows
  </li>
  <li>
   Provide guidance and support to colleagues on interpreting business metrics, using analytics tools, and reporting impact effectively
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Looking For&nbsp;
  </strong>
 </p>
 <ul>
  <li>
   3+ years of experience in a highly analytical role or business/revenue operations role, ideally at a D2C or SaaS company
  </li>
  <li>
   Comfort with ambiguous problem-statements and working directly with a variety of technical and non-technical leadership stakeholders
  </li>
  <li>
   Advanced proficiency in SQL
  </li>
  <li>
   Working knowledge of Python
  </li>
  <li>
   A demonstrated self-starter with strong communication and project management skills
  </li>
  <li>
   Proficiency developing within data warehouse transformation pipelines, such as with dbt
  </li>
  <li>
   Experience with Hex, Looker, Tableau, or other data visualization tools is preferred
  </li>
  <li>
   Familiarity with CRM and martech tools like Hubspot, Iterable and similar is a plus
  </li>
 </ul>
 <p>
  &nbsp;
  <strong>
   Benefits &amp; Perks
  </strong>
 </p>
 <ul>
  <li>
   Flexible PTO
  </li>
  <li>
   Competitive health &amp; dental insurance options, with premiums partially covered by GG
  </li>
  <li>
   Fertility and adoption benefits via Carrot and Kindbody
  </li>
  <li>
   Generous, fully-paid parental leave policy
  </li>
  <li>
   401k benefit - employees are eligible to contribute starting day 1 of employment
  </li>
  <li>
   Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
  </li>
  <li>
   Pre-tax commuter benefits
  </li>
  <li>
   Dependent Care FSA
  </li>
  <li>
   Home office support
  </li>
  <li>
   Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year
  </li>
 </ul>
 <p>
  <em>
   The OTE for this role is between $132,000 - $155,000 + target equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future.&nbsp; Additionally, this role is currently eligible to participate in GlossGenius&rsquo;s equity plan as well as a range of health &amp; wellbeing, retirement savings, and other benefits within our total rewards offering.
  </em>
 </p>
 <p>
  <em>
   At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
  </em>
 </p>
 <p>
  <em>
   Personal Information: Notice at Collection for Employees and Applicants
  </em>
 </p>
 <p>
  <em>
   Agency Submissions
   <br/>
  </em>
  <em>
   If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.&nbsp;
  </em>
 </p>
</div>


Data Analyst

sent

<div><p><b>About Sent</b></p><p>
Sent is an infrastructure for sending A2P messages across SMS, WhatsApp, and RCS through a single unified API. Our intelligent routing model automates channel selection based on deliverability and cost, ensuring lower cost and global reach without any channel-specific integrations.</p><p>
We recently closed a $5.1M Seed round backed by Companyon Ventures, Bessemer Venture Partners, UIF, and CEAS Investments. We're hiring to build the best infrastructure to replace multi-channel messaging stacks.</p><p>
We're hiring a Data &amp; Analytics Engineer to build Sent's data infrastructure from the ground up. You'll design the pipelines, models, and dashboards that make messaging performance, revenue, and operational health legible across the company &mdash; and eventually, directly to our customers.</p><p><b>
About the Role</b></p><p>
Sent processes millions of messages across SMS, WhatsApp, and RCS. The data those messages generate tells a story about delivery performance, carrier behavior, customer growth, and product quality. Right now, much of that story is untold. You'll be the person who builds the systems to surface it.</p><p>
You'll work directly with leadership, engineering, and go-to-market to define the metrics that matter, instrument the platform to capture them, and build the reporting that drives decisions. This is a foundational hire - you'll have significant ownership and influence over how the company uses data.</p><p><b>
In this role, you will&hellip;</b></p><ul><li><p>
Design and build data pipelines that turn raw messaging events into structured, queryable data.</p></li><li><p>
Build internal dashboards and reporting tools that drive decisions across sales, ops, product, and engineering.</p></li><li><p>
Define and maintain core KPIs - delivery rates, latency, carrier performance, customer health, revenue metrics.</p></li><li><p>
Partner with engineering to improve logging, instrumentation, and data capture across the platform.</p></li><li><p>
Lay the groundwork for customer-facing analytics (delivery dashboards, message performance insights).</p></li><li><p>
Support financial and operational reporting as the company scales.</p></li></ul><p><b>
You'll be a great fit if you&hellip;</b></p><ul><li><p>
Have 3+ years in analytics engineering, data engineering, or a similar role.</p></li><li><p>
Are strong in SQL and experienced with modern data stack tools (dbt, Snowflake/BigQuery, Airflow, Fivetran, or similar).</p></li><li><p>
Have built dashboards in tools like Metabase, Looker, or Grafana.</p></li><li><p>
Are comfortable working with event-driven data and high-volume systems.</p></li><li><p>
Can write Python or a similar scripting language for data manipulation.</p></li><li><p>
Have a bias toward building things that are clean, well-documented, and maintainable.</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Experience at an API-first company.</p></li><li><p>
Familiarity with PostHog or similar product analytics tools.</p></li><li><p>
Exposure to usage-based pricing models and how to measure unit economics.</p></li><li><p>
Experience building customer-facing data products or analytics features.</p></li></ul><p><b>
Our Commitment to You</b></p><ul><li><p>
Meaningful equity with high growth potential</p></li><li><p>
Top-tier medical, dental, vision fully covered</p></li><li><p>
401(k) with 100% match up to 4%</p></li><li><p>
Unlimited PTO</p></li><li><p>
Beautiful NYC workspace with daily meals and unlimited snacks</p></li><li><p>
New MacBook Pro + Apple Studio Display</p></li><li><p>
Fully comped Wellhub Gold or Equinox membership</p></li></ul><p><i>
Sent, Inc. is an Equal Opportunity Employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experiences.</i></p><p>
Compensation Range: $130K - $160K</p></div>

Analytic Partners

<div><div>Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world&rsquo;s largest brands for almost 25 years.
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</div><div>Our holistic approach to decisioning is powered by our industry-leading platform and team of experts, who help leaders make better decisions, faster &ndash; unlocking business growth and creating powerful customer connections.</div><div>
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With clients in 50+ countries and global offices across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville and Denver, we&rsquo;re growing fast. And we&rsquo;re looking for top talent to join us in shaping the future of analytics.
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</div><div>To learn more about what we do, visit analyticpartners.com &ndash; and see why we&rsquo;re recognized as a Leader in the industry by independent research firms Forrester and Gartner.</div>
<h3 class="jobSectionHeader"><b>What you&rsquo;ll be doing:
</b></h3><ul><li>Collect and analyze data related to consumer behavior, market trends, and campaign performance. Using proprietary tools and techniques to prep, mine and format customer data, analyze, produce models to develop insight dashboards and customer presentations.</li><li>
Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics.
</li><li>Collaborate as part of a team to drive analyses and insights, walking customers through dashboards and developing narratives that explain results and aid in more informed decisions and improved business performance.</li></ul><h3 class="jobSectionHeader"><b>
What we look for in you:</b></h3><ul><li>
Bachelor&rsquo;s degree or above (ideal areas of study: Business Analytics and Management, Economics, Statistics, Mathematics, and/or Marketing)</li><li>
Recent graduates and those with 1-3 years of internship or professional work experience across any combination of advanced and predictive analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications.
</li><li>Strong working knowledge of Microsoft PowerPoint and Excel</li><li>
You demonstrate analytical principles, strong problem-solving skills and attention to detail.</li><li>
Experience working independently on analytical tasks, building, and optimizing &lsquo;big data&rsquo; data pipelines, architectures, and data sets.</li><li>
Comfortable working with a team developing and presenting presentations using insights derived from analytics.</li><li>
Experience using data to solve business questions and drive business solutions.</li><li>
You bring strong written and verbal communication appropriate for a professional work environment.</li></ul><div></div><ul><li><b><br>
Our Leadership Values for Marketing Science Analysts and Company Culture:</b></li><li><b>
Results Driven</b> Anticipates roadblocks and appropriately seeks assistance to plan around them.</li><li><b>
Effective Communication</b> Considers the audience and communicates appropriately.</li><li><b>
Accountability &amp; Integrity</b> Actively looks to offer ways to contribute during downtime.</li><li><b>
Creative Collaboration</b> Builds relationships with team and contributes regularly.</li><li><b>
Harnessing Innovation</b> Seeks opportunities to try out new approaches.</li></ul><div>
The shared salary range is based on our good-faith belief at the time of posting. While the range is for the expectations as laid out in the job description, we are often open to a wide variety of candidates and recognize that the person we hire may be less experienced or more senior than this job description as posted. Total compensation may vary based on work experience, geographic location, market conditions, education/training, and skill level. Compensation Range: Base $68,500-$91,000/yearly + annual cash bonus + benefits such as paid holidays, open PTO, medical, dental, and vision.</div><div>
Our differentiator is &ndash; Our People! We hire the brightest talent and develop them into leaders. We foster a culture of PEOPLE, PASSION and GROWTH.
</div><div>People: We value our people, customers, and partners</div><div>
Passion: We love what we do</div><div>
Growth: Unlimited growth means unlimited potential</div><div>
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AP is a customer-focused, team-oriented organization where innovation and results are rewarded, and individuals can chart the course of their own careers.</div><div>
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As a woman founded and led company, this has meant supporting a meritocracy where everyone has opportunities to achieve their best and ensure we foster an environment of diversity, equity, and inclusion. In practice this means we will not only work to recruit a diverse workforce, but also maximize the full potential of all of our people. You can read more about our commitment to DEI here</div><div>
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Additionally, Analytic Partners participates in the E-Verify program in certain locations, as required by law.</div><div></div><div><br>
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#LI-Hybrid</div></div>

Marketing Science Analyst (Hiring for June 8 Start Date)

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