it business lead analyst - vice president

marketing manager - audience growth, event & campaign strategy

staff data scientist (growth & marketing)

human resources data analyst Jobs in New York

human resources data analyst

it business lead analyst - vice president Jobs in New York

marketing manager - audience growth, event & campaign strategy Jobs in New York

staff data scientist (growth & marketing) Jobs in New York

ad marketing manager

senior marketing data analyst

Proxima

<div><p><b>About Proxima</b></p><p>
Proxima (proxima.ai) sits at the intersection of AI and commerce data. Our Commerce Graph is a proprietary consumer purchase-behavior dataset powering smarter targeting, better creative, and measurable growth for ecommerce brands and the data and adtech ecosystem that serves them.</p><p><b>
The Role</b></p><p>
We're looking for a Senior Product Marketing Manager to own the go-to-market motion for Proxima's data business. This is a strategic, high-visibility role focused on bringing the Commerce Graph to market for data and adtech buyers, including DSPs, CDPs, measurement platforms, and agency partners. You'll be the connective tissue between product, sales, and the market.</p><p><b>
What You'll Own</b></p><ul><li><p>
Positioning and messaging for Proxima's DaaS offering, translating complex data products into compelling narratives for technical and commercial audiences</p></li><li><p>
Sales enablement: building the decks, one-pagers, battlecards, and objection-handling frameworks that help the team win enterprise deals</p></li><li><p>
ABM strategy and execution targeting high-value accounts across the adtech and data ecosystem</p></li><li><p>
Analyst and partner relations that expand Proxima's visibility and credibility in the data market</p></li><li><p>
Launch and campaign strategy for new Commerce Graph capabilities and partnership announcements</p></li></ul><p><b>
What We're Looking For</b></p><ul><li><p>
5+ years in product marketing, preferably with a data, adtech, or martech company</p></li><li><p>
Experience with enterprise or partner-led sales motions, including ABM programs</p></li><li><p>
Strong ability to translate technical data concepts into clear, differentiated value propositions</p></li><li><p>
Comfortable working closely with sales teams and contributing directly to pipeline</p></li><li><p>
Familiarity with the data licensing or DaaS landscape (data marketplaces, clean rooms, LiveRamp ecosystem, etc.)</p></li><li><p>
Excellent written communication skills and strong instincts for positioning</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Experience marketing data products to programmatic, retail media, or performance marketing buyers</p></li><li><p>
Familiarity with co-op data models or purchase-behavior datasets</p></li><li><p>
Background in ecommerce or retail technology</p></li></ul><p>
Compensation Range: $100K - $140K</p></div>

Senior Product Marketing Manager, Data & Partnerships

American Express

<div><div><div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you&rsquo;ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.<br>
<br>
</p></div><div><p>With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you&rsquo;ll learn and grow as we help you create a career journey that&rsquo;s unique and meaningful to you&mdash;supported by benefits, programs, and flexibility that help you thrive personally and professionally.
</p></div><div><p>At American Express, you&rsquo;ll be recognized for your contributions and impact. Every colleague has the opportunity to share in the company&rsquo;s success. Together, we&rsquo;ll win as a team&mdash;upholding our values and the promise of powerful backing to deliver the world&rsquo;s best customer experience every day.<br>
</p></div><p></p><div><p><b>About the Team:
</b></p></div><div><p>The <b>Analytics, Investments and Marketing Enablement (AIM) </b>team&mdash;within Global Commercial Services Marketing (GCSM)&mdash;is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences.
</p></div><div><p>This Senior Analyst role sits within <b>Corporate Digital Acquisition Analytics </b>, supporting the strategy, development, and optimization of personalized digital experiences for Commercial corporate prospects across Digital channels using data, advanced analytics, and emerging AI.<br>
</p></div><div></div><div><p><b>How will you make an impact </b><b>in </b><b>this role?
</b></p></div><div><p>As a Senior Analyst, you will lead analytical work that fuels the next generation of AMEX&rsquo;s Corporate digital acquisition engine. You will design and implement data-driven strategies, build analytical solutions to optimize targeting, personalization, and prospect conversion.
</p></div><div><p>This role is ideal for someone who is passionate about digital marketing analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate prospects in a dynamic and competitive digital landscape.
</p></div><div><p><b>Key Responsibilities:
</b></p></div><div><ul><li><div><b>Develop analytical solutions and data products </b>that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website.
</div></li></ul></div><div><ul><li><div><b>Build and enhance targeting </b><b>models </b>leveraging AMEX&rsquo;s vast first-party data and evolving digital intelligence capabilities.
</div></li></ul></div><div><ul><li><div><b>Apply emerging AI and GenAI techniques </b>, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
</div></li></ul></div><div><ul><li><div><b>Drive experimentation, performance measurement and </b><b>Investment optimization - </b>designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.
</div></li></ul></div></div><div><div><ul><li><div><b>Develop &amp; foster cross functional relationships with partners </b>across American Express to ensure implementation of analytical solutions and ensure business impact.<br>
</div></li></ul></div><div></div><div><p><b>Minimum Qualifications:
</b></p></div><div><ul><li><div>Bachelor's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
</div></li></ul></div><div><ul><li><div>2+ years of professional work experience in Data Science and Analytics domain
</div></li></ul></div><div><ul><li><div>Experience working with LLMs and in building ML models like XGBoost , K-Means, etc with proficiency in analytical tools such as <b>SQL, Python, </b>or similar; knowledge of digital analytics or experimentation frameworks is a plus.
</div></li></ul></div><div><ul><li><div>Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems
</div></li></ul></div><div><ul><li><div>Excellent written and oral communication skills<br>
</div></li></ul></div><div></div><div><p><b>Preferred Qualifications:
</b></p></div><div><ul><li><div>Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
</div></li></ul></div><div><ul><li><div>Experience in large data processing and handling; and basic understanding of data science: XGBoost , decision trees, regression modeling, etc.
</div></li></ul></div><div><ul><li><div>Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.
</div></li></ul></div><div><ul><li><div>Strong communication skills with the ability to influence partners and drive action.<br>
</div></li></ul></div></div><div></div><p>Salary Range: $89,250.00 to $150,250.00 annually + bonus + benefits
</p><p>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</p><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
</p><p>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
</p><p>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
</p><p>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.</p></div>

Senior Analyst-Data Science (Digital Targeting & Analytics)

MetroPlusHealth

<div><p><b>Job Ref: </b>TE0118<br>
<b>Category: </b>Marketing<br>
<b>Department: </b>MARKETING ADMINISTRATION<br>
<b>Location: </b>50 Water Street, 7th Floor, New York, NY 10004
<br>
<b>Job Type: </b>Regular<br>
<b>Employment Type: </b>Full-Time<br>
<b>Work Arrangement: </b>Hybrid<br>
<b>Salary Range: </b>$80,000.00 - $90,000.00<br>
</p><p></p><p><b>Position Overview</b></p><br>
<p></p><h2 class="jobSectionHeader"><b>Empower. Unite. Care.</b></h2><br>
<p></p>
<p><b>MetroPlusHealth</b> is committed to empowering New Yorkers by uniting communities through care. We believe that Health care is a right, not a privilege. If you have compassion and a collaborative spirit, work with us. You can come to work being proud of what you do every day.</p><br>
<p></p>
<p>The Salesforce Marketing Cloud Data Analyst manages data on Salesforce Marketing Cloud (SFMC), integrates data of all campaigns and ensures data quality and consistency. The person reports to SFMC Data Manager, collaborates with marketing teams to execute targeted campaigns, manages user access, data, and system configuration, ensures accurate customer information, enhances interactions, and contributes to overall business success. The person analyzes data to identify trends, measure campaign performance, and inform strategies. The person works closely with the SFMC Campaign Manager to optimize campaigns.</p>
<p><b>Duties &amp; Responsibilities</b></p>
<ul><li><b>Data Quality &amp; Governance:</b><br>
 Ensure accuracy, completeness, and consistency of marketing data across platforms.</li>
<li><b>Segmentation &amp; Audience Management:</b><br>
 Create data extensions and manage audience based on behavioral, demographic, and performance attributes.</li>
<li><b>Advanced Analytics:</b><br>
 Analyze campaign results, user behavior, and funnel metrics to identify growth opportunities.</li>
<li><b>Dashboarding &amp; Visualization:</b><br>
 Build and present Tableau dashboards and analytic tools that help teams make data‑driven decisions.</li>
<li><b>Predictive &amp; Trend Insights:</b><br>
 Identify patterns in campaign performance and market behavior to anticipate future outcomes.</li>
<li><b>Cross‑Team Partnership:</b><br>
 Collaborate with marketing, CRM, and data teams to ensure analytic requirements are met.</li>
<li><b>Campaign Operations:</b><br>
 Support the planning and execution of targeted marketing campaigns in partnership with cross‑functional teams.</li>
<li><b>Automation &amp; Process Optimization:</b></li>
</ul>
 <p>Support and improve automated workflows to streamline campaign intake, approvals, and reporting.</p><br>
<p></p>
<p><b>Minimum Qualifications</b></p>
<ul><li>Bachelor's degree in business, Marketing, Information Technology, or a related field.</li>
<li>Proven experience in data analytics or a related role.</li>
<li>Proficiency in CRM software (e.g., Salesforce). Certifications preferred.</li>
<li>3-year minimum in an analytical role specializing in data manipulation, interpretation, report writing, and data insight summarization/reporting.</li></ul></div><p></p>

Salesforce Marketing Cloud Data Analyst

Synchrony

<div><div><div>Job Description</div>
<div><div><div><b>Job ID</b></div>
<div>2600963</div>
</div><div><div><b>Category</b></div>
<div>Data &amp; Analytics</div>
</div><div><div><b>Date posted</b></div>
<div>04/02/2026</div>
</div></div><div><div><b>Role Summary/Purpose:</b></div><div>
The Senior Analyst, Scalable Marketing Measurement Analytics will support the Scalable Marketing Measurement Team in driving key initiatives &amp; projects related to Marketing Campaign Performance, building enterprise-wide dashboards, and other tools, and provide Ad hoc analysis as required. This role will be responsible for preparing dashboards, performing data validation, and evaluating feedback received with the goal being to incorporate scalable marketing solution enhancements that enable users to gain valuable insights.</div><div><b>
Essential Responsibilities:</b></div><ul><li>
Assist the Scalable Marketing Measurement team in driving adoption of tools and capabilities related to Campaign Performance</li><li>
Maintain dashboards and tools that team owns, develop a flexible structure that can be leveraged for client/portfolio specific data. Validate data accuracy and completeness</li><li>
Engage with 3rd party partners to integrate, automate, and standardize data feeds, validate data for accuracy and competence</li><li>
Provide support to Portfolio Marketers and Analytics to understand the performance metrics for marketing campaigns, provide guidance on campaign design as required</li><li>
Ability to work across multiple time zones, collaborating cross-functionally with onshore and offshore teams</li><li>
Use Synchrony Project Management tools such as Kanban board to track progress and timelines for all tasks within the team</li><li>
Perform other duties and/or special projects as assigned.</li></ul><div><b>
Qualifications/Requirements:</b></div><ul><li>
Bachelor's degree and 1+ years of analytics experience; OR in lieu of a degree, a high school diploma and 4+ years of analytics experience</li><li>
Experience to include:<ul><li>
1+ years of experience in an analytics role</li><li>
1+ years of experience in data visualization and storytelling utilizing tools such as Tableau, or another data visualization tool</li><li>
1+ years of experience with statistical tools such as SAS, SQL, R, or Python</li><li>
1+ years of experience querying and analyzing large amounts of data</li></ul></li></ul><div><b>
Desired Characteristics:</b></div><ul><li>
Analytics experience with a marketing focus such as campaigns.</li><li>
Bachelor's degree in STEM or related quantitative field</li><li>
Retail or financial services/ credit card or payments industry experience.</li><li>
The ideal candidate will need to think quantitatively and analytically as well as creatively</li><li>
Strong experience with SQL, Python, and SAS - ability to perform ETL processes</li><li>
Experience with cloud-based analytical tools (AWS, Azure, etc.)</li><li>
Proficient in data visualization utilizing Tableau and Microsoft PowerPoint, strong understanding of best practices when visualizing data</li><li>
Ability to clearly explain technical and analytical information (verbally, written &amp; in presentation form) and summarize for key stakeholders</li><li>
Understanding of credit card and consumer finance industry dynamics, as well as P&amp;L metrics and definitions</li><li>
Manage offshore team resources</li><li>
Strong analytic and project management skills with ability to manage multiple priorities</li><li>
Ability to provide wing-to-wing analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations</li><li>
Familiarity with how marketing campaigns work and how they are measured across different channels, portfolios, and types</li></ul><div><b>
Grade/Level: 09
</b></div><div>The salary range for this position is <b>60,000.00 - 112,000.00</b> USD Annual and is eligible for an annual bonus based on individual and company performance.</div><div>
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.</div><div>
Salaries are adjusted according to market in CA, NY Metro and Seattle.</div><div><b>
Our Way of Working</b><b>:</b></div><div>
We&rsquo;re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events.</div><ul><li>Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.</li></ul><div><b>
Eligibility Requirements:</b></div><ul><li>
You must be 18 years or older</li><li>
You must have a high school diploma or equivalent</li><li>
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process</li><li>
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.</li><li>
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months&rsquo; time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months&rsquo; time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don&rsquo;t meet the time in position or performance expectations).</li></ul><div>
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</div><div><b>
Our Commitment:</b></div><div>
When you join us, you&rsquo;ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard &ndash; but valued. Together, we&rsquo;re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.</div><div>
This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We&rsquo;re proud to have an award-winning culture for all.</div><div><b>
Reasonable Accommodation Notice:
</b></div><ul><li>Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</li><li>
If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am &ndash; 5pm Monday to Friday, Central Standard Time</li></ul><div><b>
Job Family Group:</b></div>
Data Analytics</div></div></div><p></p>

Senior Analyst, Scalable Marketing Measurement Analytics

Asana

<div>
 The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana&rsquo;s marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design.
 <br/>
 <br/>
 This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll achieve:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines.
  </li>
  <li>
   Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability.
  </li>
  <li>
   Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach.
  </li>
  <li>
   Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops.
  </li>
  <li>
   Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably.
  </li>
  <li>
   Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation.
  </li>
  <li>
   Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience
  </li>
  <li>
   6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects
  </li>
  <li>
   4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift)
  </li>
  <li>
   Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness
  </li>
  <li>
   Proven track record developing, deploying, and maintaining scalable production ML solutions and data products
  </li>
  <li>
   Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus
  </li>
  <li>
   Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we&rsquo;ll offer:
  <br/>
  <br/>
 </strong>
 Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
 <br/>
 <br/>
 For this role, the estimated base salary range is between $202,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
 <br/>
 <br/>
 In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
 <br/>
 <br/>
 <ul>
  <li>
   Mental health, wellness &amp; fitness benefits
  </li>
  <li>
   Career coaching &amp; support
  </li>
  <li>
   Inclusive family building benefits
  </li>
  <li>
   Long-term savings or retirement plans
  </li>
  <li>
   In-office culinary options to cater to your dietary preferences
   <br/>
   <br/>
  </li>
 </ul>
 These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
 <br/>
 <br/>
 <strong>
  Join Asana&rsquo;s Talent Network
 </strong>
 to stay up to date on job opportunities and life at Asana.
 <br/>
 <br/>
</div>


Staff Data Scientist, Marketing

DailyPay Inc

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

Senior Analyst, Product Analytics

Harbor Group International

<div>
 <p>
  <strong>
   Investment Management Analyst
  </strong>
 </p>
 <p>
  <strong>
   Position:
  </strong>
  Investment Management Analyst
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB SUMMARY:
  </strong>
 </p>
 <p>
  HGI is seeking an Analyst to join our Investment Management team. The Analyst will play a pivotal role in analyzing, monitoring, and reporting on all aspects of an investment. The Analyst will perform investment management duties consisting of performance analysis, direct equity and credit investment valuation, investor reporting, investment model review, distributions, waterfall calculations, and other special projects. The team also focuses on communicating the company&rsquo;s products, platform, competitive advantages, business model, and financial results to internal and external audiences, including HGI executives, auditors, and investors. The Analyst will work closely with the firm&rsquo;s senior members and executives. The role is onsite, based in New York City.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Review investment and fund performance, including financial modeling, pro forma cash flow, and analysis of market landscapes.
  </li>
  <li>
   Work with transactions team to evaluate the risk/return and potential fit of new investments.
  </li>
  <li>
   Contribute to quarterly distribution processes by aggregating financial data, analyzing performance, reviewing projections, and performing waterfall calculations.
  </li>
  <li>
   Assist in the valuation processes of investments within the portfolio
  </li>
  <li>
   Assist with the evaluation of new opportunities across property sectors and capital structures.
  </li>
  <li>
   Prepare detailed quarterly asset and fund performance reports, as well as custom investor reporting.
  </li>
  <li>
   Compile portfolio data for marketing materials such as due diligence requests and pitchbooks.
  </li>
  <li>
   Complete special projects and other related responsibilities.
  </li>
  <li>
   Communicate with third parties directly including investors, lenders, and auditors.
  </li>
  <li>
   Coordinate with all verticals of a private equity real estate firm, including Transactions, Asset Management, Accounting and Finance, Legal and Compliance, and Investor Relations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in finance, real estate, or a similar field; or equivalent work experience.
  </li>
  <li>
   At least one year of relevant experience in commercial real estate private equity, private equity, accounting or financial services.
  </li>
  <li>
   Proficient understanding of underwriting, deal structure, waterfalls, and private equity real estate fundamentals.
  </li>
  <li>
   Ability to work independently and collaboratively in a multidisciplinary team.
  </li>
  <li>
   Strong knowledge of Microsoft Excel, Word, PowerPoint and other similar platforms.
  </li>
  <li>
   Excellent attention to detail, analytical skills, and ability to prioritize projects.
  </li>
  <li>
   Exceptional interpersonal &amp; communication skills, both verbal and written.
  </li>
 </ul>
 <p>
  #LI-TB1
 </p>
</div>


Investment Management Analyst

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