marketing data scientist

Learneo

<div><div><p><b>About Learneo</b><br>
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.</p></div><p><b>
About QuillBot</b><br>
QuillBot was founded in 2017 with a mission to help students and professionals&mdash;especially those learning English&mdash;strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, QuillBot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully&mdash;across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us</p>
<p><b>
Role Overview</b><br>
We are looking for a Data Scientist focused on Marketing Analytics to elevate decision&#8209;making for the Marketing org. You will own the end&#8209;to&#8209;end analytics workflow&mdash;from data engineering and statistical modeling to experimentation and dashboarding&mdash;turning complex data into insight&#8209;rich narratives that move the business. Reporting to the Global Marketing Operations Manager, you'll partner closely with channel owners and cross&#8209;functional stakeholders to design tests, quantify impact, and surface growth opportunities at global scale.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Supporting in building, automating, and maintaining self&#8209;serve dashboards in Amplitude and Chargebee covering acquisition, activation, engagement, retention, and revenue metrics.</li>
<li>Audit, refine, and evolve our current single&#8209;touch attribution model into a robust multi&#8209;touch attribution framework spanning paid media, influencers, organic social, SEO, and content touchpoints.</li>
<li>Design and execute incrementality tests (geo&#8209;split, hold&#8209;out, PSA, audience suppression) to quantify true lift of paid campaigns, influencer activations, product campaigns, etc</li>
<li>Develop statistically sound methodologies&mdash;propensity matching, causal impact, Bayesian hierarchical modeling&mdash;to measure the business impact of influencer programs (organic &amp; paid) and organic social initiatives.</li>
<li>Partner with channel owners to translate insights into channel mix, budget allocation, and creative optimizations that drive efficient MAU, installs and revenue growth.</li>
<li>Conduct deep&#8209;dive analyses on customer cohorts, funnel friction points, and landing experiences to inform growth hypotheses.</li>
<li>Collaborate with Data Engineering to improve data pipelines, tracking accuracy, and event instrumentation in Amplitude.</li>
<li>Communicate complex analyses in clear, compelling narratives to executives and democratize insights across Marketing, Product, and RevOps teams</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>5+ years in Marketing Analytics, Growth Data Science, or similar role at a high&#8209;growth consumer company.</li>
<li>Hands&#8209;on expertise with Amplitude and Chargebee is a big plus</li>
<li>Advanced SQL and data&#8209;wrangling skills; proficiency in Python or R for statistical modeling and experiment design.</li>
<li>Deep experience building and validating attribution models (last&#8209;touch, time&#8209;decay, data&#8209;driven, Shapley, Markov) and translating results into actionable recommendations.</li>
<li>Strong background in experimentation and incrementality testing methodologies.</li>
<li>Demonstrated ability to quantify influencer and organic social impact using reach, engagement, and downstream revenue signals.</li>
<li>Excellent storytelling and visualization skills (dbt, Hex, Tableau, Mode, or similar) with the ability to tailor insights to technical and non&#8209;technical stakeholders.</li>
<li>Bachelor's or Master's in Statistics, Economics, Computer Science, or related field (or equivalent experience).</li>
</ul>
<p><b>Benefits &amp; Perks</b></p>
<ul>
<li>Competitive salary &amp; annual bonus</li>
<li>Medical coverage</li>
<li>Life and accidental insurance</li>
<li>Vacation &amp; leaves of absence (menstrual, flexible, special, and more!)</li>
<li>Developmental opportunities through education &amp; developmental reimbursements &amp; professional workshops</li>
<li>Maternity &amp; parental leave</li>
<li>Hybrid &amp; remote model with flexible working hours</li>
<li>On-site &amp; remote company events throughout the year</li>
<li>Tech &amp; WFH stipends &amp; new hire allowances</li>
<li>Employee referral program</li>
<li>Premium access to QuillBot</li>
</ul>
<ul><li>Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process.</li></ul>
<p>
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!<br>
<br>
<b>This role is eligible for hire in India.</b><br>
<br>
We are a virtual-first company and have employees dispersed throughout the United States, Canada, India, Israel, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation.<br>
<br>
#Learneo<br>
#LI-Remote<br>
#LI-MG1</p><div><p><b><br>
Equal Employment Opportunity Statement (EEO)</b></p>
<p>
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.</p></div></div>

Marketing Data Scientist

Quillbot

<div><div><p><b>About Us</b><br>
QuillBot was founded in 2017 with a mission to help students and professionals&mdash;especially those learning English&mdash;strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, QuillBot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully&mdash;across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us.</p></div><p><b>
Role Overview</b><br>
We are looking for a Data Scientist focused on Marketing Analytics to elevate decision&#8209;making for the Marketing org. You will own the end&#8209;to&#8209;end analytics workflow&mdash;from data engineering and statistical modeling to experimentation and dashboarding&mdash;turning complex data into insight&#8209;rich narratives that move the business. Reporting to the Global Marketing Operations Manager, you'll partner closely with channel owners and cross&#8209;functional stakeholders to design tests, quantify impact, and surface growth opportunities at global scale.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Supporting in building, automating, and maintaining self&#8209;serve dashboards in Amplitude and Chargebee covering acquisition, activation, engagement, retention, and revenue metrics.</li>
<li>Audit, refine, and evolve our current single&#8209;touch attribution model into a robust multi&#8209;touch attribution framework spanning paid media, influencers, organic social, SEO, and content touchpoints.</li>
<li>Design and execute incrementality tests (geo&#8209;split, hold&#8209;out, PSA, audience suppression) to quantify true lift of paid campaigns, influencer activations, product campaigns, etc</li>
<li>Develop statistically sound methodologies&mdash;propensity matching, causal impact, Bayesian hierarchical modeling&mdash;to measure the business impact of influencer programs (organic &amp; paid) and organic social initiatives.</li>
<li>Partner with channel owners to translate insights into channel mix, budget allocation, and creative optimizations that drive efficient MAU, installs and revenue growth.</li>
<li>Conduct deep&#8209;dive analyses on customer cohorts, funnel friction points, and landing experiences to inform growth hypotheses.</li>
<li>Collaborate with Data Engineering to improve data pipelines, tracking accuracy, and event instrumentation in Amplitude.</li>
<li>Communicate complex analyses in clear, compelling narratives to executives and democratize insights across Marketing, Product, and RevOps teams</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>5+ years in Marketing Analytics, Growth Data Science, or similar role at a high&#8209;growth consumer company.</li>
<li>Hands&#8209;on expertise with Amplitude and Chargebee is a big plus</li>
<li>Advanced SQL and data&#8209;wrangling skills; proficiency in Python or R for statistical modeling and experiment design.</li>
<li>Deep experience building and validating attribution models (last&#8209;touch, time&#8209;decay, data&#8209;driven, Shapley, Markov) and translating results into actionable recommendations.</li>
<li>Strong background in experimentation and incrementality testing methodologies.</li>
<li>Demonstrated ability to quantify influencer and organic social impact using reach, engagement, and downstream revenue signals.</li>
<li>Excellent storytelling and visualization skills (dbt, Hex, Tableau, Mode, or similar) with the ability to tailor insights to technical and non&#8209;technical stakeholders.</li>
<li>Bachelor's or Master's in Statistics, Economics, Computer Science, or related field (or equivalent experience).</li>
</ul>
<p><b>Benefits &amp; Perks</b></p>
<ul>
<li>Competitive salary &amp; annual bonus</li>
<li>Medical coverage</li>
<li>Life and accidental insurance</li>
<li>Vacation &amp; leaves of absence (menstrual, flexible, special, and more!)</li>
<li>Developmental opportunities through education &amp; developmental reimbursements &amp; professional workshops</li>
<li>Maternity &amp; parental leave</li>
<li>Hybrid &amp; remote model with flexible working hours</li>
<li>On-site &amp; remote company events throughout the year</li>
<li>Tech &amp; WFH stipends &amp; new hire allowances</li>
<li>Employee referral program</li>
<li>Premium access to QuillBot</li>
</ul>
<ul><li>Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process.</li></ul>
<p>
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!<br>
<br>
<b>This role is eligible for hire in India.</b><br>
<br>
We are a virtual-first company and have employees dispersed throughout the United States, Canada, India, Israel, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation.<br>
<br>
#QuillBot<br>
#LI-Remote<br>
#LI-MG1</p><div><p><b><br>
Equal Employment Opportunity Statement (EEO)</b><br>
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.</p></div></div>

Deloitte

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 Assistant Manager: Data Scientist &ndash; Brand Research &amp; Insights
 <br/>
 <br/>
 Looking for candidates who can support the strategic marketers with advanced analytics, data-driven insights, predictive modeling, and AI-enabled solutions to elevate research, campaign strategy, and reporting. Someone with experience in data science, statistical modeling, data visualization, and marketing analytics&mdash;who is adept at turning complex data into actionable recommendations. The ideal candidate is collaborative, innovative, and eager to learn, with the ability to quickly adapt to changing business requirements and marketing priorities.
 <br/>
 <br/>
 Key skills and professional experience:
 <br/>
 <br/>
 <ul>
  <li>
   Overall, 7+ years&rsquo; experience with at least 5+ years of relevant data science, statistical analysis, or marketing analytics experience, ideally with exposure to U.S./Global marketers or professional services.
  </li>
  <li>
   Good knowledge of data science, machine learning, and AI concepts&mdash;including regression, clustering, predictive modeling, and data mining.
  </li>
  <li>
   Hands-on experience with programming languages such as Python and/or R, and proficiency in statistical software (SPSS, SAS, or similar).
  </li>
  <li>
   Proficiency in data visualization tools such as Power BI and Tableau, with the ability to present complex analyses in intuitive graphical and tabular formats.
  </li>
  <li>
   Experience with Generative AI tools and techniques (e.g., large language models, prompt engineering, or AI-driven analytics) is a strong plus.
  </li>
  <li>
   Familiarity with survey programming platforms (Qualtrics, Decipher) and secondary research databases (EIU, EMIS, Gartner, IDC, etc.) is advantageous.
  </li>
  <li>
   Excellent analytical and problem-solving skills, with the ability to synthesize large datasets, spot trends, and draw logical inferences.
  </li>
  <li>
   Strong project management skills&mdash;ability to scope, plan, execute, and deliver analytics projects on time.
  </li>
  <li>
   Collaborative and team-oriented, with a proven ability to manage multiple activities and competing demands simultaneously.
  </li>
  <li>
   Strong communication skills, able to translate technical findings into actionable business insights and present them to non- technical stakeholders.
  </li>
  <li>
   Attention to detail and quality, with a track record of ensuring data integrity and actionable recommendations.
   <br/>
   <br/>
  </li>
 </ul>
 Work you&rsquo;ll do
 <br/>
 <br/>
 As a Data Scientist, you will support marketing analytics, advanced research, and campaign strategy for various industries, markets, and functions. You will conduct deep-dive analyses, build predictive models, and generate actionable insights to inform marketing decisions and drive business growth. You&rsquo;ll be expected to proactively identify new opportunities for data- driven marketing, quickly analyze information, spot exceptions or trends, and conduct required follow-up. You should be team-oriented, able to manage multiple projects, and comfortable collaborating with marketers, researchers, and leadership.
 <br/>
 <br/>
 Key job responsibilities include:
 <br/>
 <br/>
 <ul>
  <li>
   Advanced analytics and modeling:
  </li>
  <li>
   Develop and implement statistical models (e.g., regression, clustering, segmentation) and machine learning algorithms to extract insights from marketing, survey, and external data.
  </li>
  <li>
   Leverage Generative AI and other emerging technologies to enhance marketing research and campaign effectiveness.
  </li>
  <li>
   Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
  </li>
  <li>
   Create dashboards, infographics, and visualizations to communicate findings to stakeholders.
  </li>
  <li>
   Marketing and business research:
  </li>
  <li>
   Analyze market, client, and competitor data to inform marketing strategy and campaign planning.
  </li>
  <li>
   Oversee brand data and analytics to identify emerging market trends and opportunities for Deloitte.
  </li>
  <li>
   Collaboration:
  </li>
  <li>
   Build strong relationships with marketers, researchers, and leadership to understand business needs and deliver impactful analytics solutions.
  </li>
  <li>
   Regularly interact with marketing teams to adapt to changing requirements and priorities.
  </li>
  <li>
   Day-to-day responsibilities:
  </li>
  <li>
   Collaborating with teams leads to manage workflow, ensuring adequate resources, and supporting work requests.
  </li>
  <li>
   Contribute to knowledge sharing and continuous improvement of analytics capabilities within the team.
   <br/>
   <br/>
  </li>
 </ul>
 Location: Hyderabad
 <br/>
 <br/>
 Shift timings: 11am &ndash; 8pm
 <br/>
 <br/>
 The team
 <br/>
 <br/>
 The Brand Research &amp; Insights (BR&amp;I) team is part of the broader Brand Marketing &amp; Communications team. The USI BR&amp;I team supports strategic marketers in developing and implementing effective marketing strategies and plans across industries, regions, and functions. The team provides a wide range of services, which help the Business Chief Marketing Officers, Strategic Marketers, and Partners, Principals, and Directors (PPDs) expand client relationships and build Deloitte&rsquo;s presence and reputation in the market. It develops marketing and research-based insights through competitive intelligence reports, executive profiles, persona-based research, event analysis, research material, and marketing brochures to equip leadership teams to drive strategic initiatives and win business for the firm.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required: Master&rsquo;s degree in Statistics, Mathematics, Data Science, or a related field. Bachelor&rsquo;s degree in Statistics, Mathematics/ B.Tech
 <br/>
 <br/>
 How you&rsquo;ll grow
 <br/>
 <br/>
 At Deloitte, we&rsquo;ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities&mdash;including exposure to leaders, sponsors, coaches, and challenging assignments&mdash;to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices, is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people&rsquo;s growth and development. Explore DU: The Leadership Center in India
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
 <br/>
 <br/>
 Deloitte&rsquo;s culture
 <br/>
 <br/>
 Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
 <br/>
 <br/>
 Corporate citizenship
 <br/>
 <br/>
 Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte&rsquo;s impact on the world.
 <br/>
 <br/>
 <strong>
  Our purpose
  <br/>
  <br/>
 </strong>
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 <br/>
 <br/>
 <strong>
  Our people and culture
  <br/>
  <br/>
 </strong>
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 <br/>
 <br/>
 <strong>
  Professional development
  <br/>
  <br/>
 </strong>
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 <br/>
 <br/>
 <strong>
  Benefits To Help You Thrive
  <br/>
  <br/>
 </strong>
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 <br/>
 <br/>
 <strong>
  Recruiting tips
  <br/>
  <br/>
 </strong>
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 <br/>
 <br/>
 Requisition code: 312839
</div>


Hyderabad - Data Scientist - Assistant Manager

Microsoft

<div><div>The Global Marketing Engines and Experiences (E&amp;E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans. The Marketing Analytics and Data Science team within E&amp;E enables data-driven decision making by providing data products and insights that measure marketing&rsquo;s performance and impact, deepen understanding of customer behavior, and drive marketing efficiency and ROI.</div><div><br>
</div><div>We are looking for a Senior Marketing Data Analyst who thrives at the intersection of data, digital marketing, and business impact - someone who can transform complex data across multiple systems into clear narratives that influence strategic marketing and investment decisions.</div><div></div><div><br>
Are you interested in data, analytics, and digital marketing? Would you like to be on a team that is solving problems in online marketing, in partnership with some of the world&rsquo;s brightest and most advanced marketers? And all of that whilst working in the dynamic, customer-focused, and data-rich world of cloud-based business products? As a Senior Marketing Data Analyst in E&amp;E, you will be responsible for the creation of intelligent tools, analysis and insights that deliver results to product marketers and sales partners with rapidly evolving requirements. You will connect data across Microsoft&rsquo;s marketing ecosystem, including Adobe, Marketo, Sprinklr, and Event Registration systems, to attribute marketing efforts to key outcomes like registrations and pipeline performance. You&rsquo;ll design end-to-end attribution frameworks that clarify the true impact of channels such as email, social, and paid media on demand generation performance. You&rsquo;ll also deliver executive-ready dashboards and automated insights, through agentic enablement, empowering marketing leaders to make faster, more informed decisions about where to invest.</div><div><br>
</div><div>This role requires both strong technical acumen and storytelling skills to make data not just accessible but actionable across audiences ranging from analytics peers to senior marketing executives. We are seeking someone who is curious, comfortable with ambiguity, detail-oriented and able to use rigorous analytical techniques to develop scalable, efficient, and effective analytical data products, at times taking a deep dive into data to tell a story. In addition, you build on the successes of others, value cross team collaboration, and contribute to a diverse and inclusive workplace.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><div></div><div><br>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><b>
Channel Attribution &amp; Marketing Impact</b></div><ul><li>
Build and optimize attribution models that connect social, paid, and email channels to registrations, event attendance, and pipeline outcomes.</li><li>
Integrate and normalize data across Adobe, Marketo, Sprinklr, and event systems to create a unified view of marketing performance.</li><li>
Identify patterns and correlations in multichannel engagement data to inform targeting and media optimization strategies.</li></ul><div><b>
Executive Reporting &amp; Insights</b></div><ul><li>
Develop automated, executive-ready dashboards that clearly communicate marketing performance, ROI, and channel contribution to business outcomes.</li><li>
Partner with demand generation and product marketing teams to translate insights into recommendations that improve channel efficiency and engagement quality.</li><li>
Deliver recurring reporting packages that support leadership decision cycles and business planning rhythms.</li></ul><div><b>
Analytics Development &amp; Enablement</b></div><ul><li>
Design and implement scalable reporting tools and self-service dashboards that democratize access to performance insights.</li><li>
Collaborate with Data Services to ensure underlying datasets are accurate, compliant, and ready for analytical use.</li><li>
Apply statistical and analytical techniques (e.g., regression, time-series forecasting) to assess campaign effectiveness and predict performance trends.</li></ul><div><b>
Storytelling &amp; Business Partnership</b></div><ul><li>
Transform data into compelling business narratives, bridging marketing activity, customer behavior, and measurable business impact.</li><li>
Partner cross-functionally with engineering, product marketing, and media teams to inform investment and optimization decisions.</li><li>
Serve as a subject matter specialist on channel attribution and social performance analytics across E&amp;E.</li></ul><div><b>
Other</b></div><ul><li>
Embody our culture and values.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required/minimum qualifications</b></div><br>
<div></div><ul><li>
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.</li><li>
4+ years of hands-on experience analyzing B2B marketing performance data, with a focus on attribution modeling, social media engagement metrics, and awareness of paid media/acquisition campaigns.</li><li>
4+ years experience proven ability to integrate and interpret multi-touch attribution data, lead and account-level profiles, and marketing/sales funnel analytics from disparate sources (CRM, ad platforms, social channels, and internal data systems).</li><li>
4+ years of experience applying quantitative methods, data modeling, and statistical techniques to optimize marketing ROI and channel performance.</li><li>
4+ years building attribution frameworks and incrementality testing for paid and organic social campaigns.</li><li>
4+ years writing efficient, readable, and extensible code for data processing and modeling.</li></ul><div></div><div><b><br>
Additional or preferred qualifications</b></div><ul><li>
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.</li></ul><div>
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.</div><div></div><div><br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay</div><div></div><div><br>
Microsoft will accept applications for the role until November 7, 2025.</div><div></div><div><b><br>
#EandEJobs</b></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior Data Analyst

Accenture Middle East

<p> <b>Key Responsibilities</b> </p> <p> <b>Consulting &amp; Strategy</b> </p> <ul> <li>Partner with clients to understand their business goals, particularly in <b>marketing, customer experience, and digital transformation</b>.</li> <li>Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models).</li> <li>Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance.</li> </ul> <p> <b>Data &amp; AI Solutioning</b> </p> <ul> <li>Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing).</li> <li>Work with structured and unstructured data to generate insights that inform <b>brand, product, and digital strategies</b>.</li> <li>Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions.</li> <li>Explore and apply <b>Agentic AI frameworks</b> to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases</li> </ul> <p> <b>Marketing Analytics &amp; Insights</b> </p> <ul> <li>Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis.</li> <li>Build dashboards and visualizations that communicate <b>data-driven stories</b> to marketing and leadership teams.</li> <li>Provide actionable insights that drive <b>customer acquisition, retention, and engagement</b>.</li> </ul> <p> <b>Client Engagement &amp; Enablement</b> </p> <ul> <li>Act as a trusted advisor to marketing and business stakeholders.</li> <li>Lead workshops and training sessions on <b>AI in marketing</b> (generative AI, personalization, predictive modeling).</li> <li>Stay ahead of AI, data, and marketing technology trends to guide clients on <b>emerging opportunities</b>.</li> </ul> <p> </p> <p> </p> <p> </p> <ul> <li>4+ years of work experience.</li> <li>Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI).</li> <li>Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau).</li> <li>Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics).</li> <li>Experience in building Agentic AI systems, conversational AI / AI bots , Prompting  </li> <li>Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment.</li> </ul> <p> <b>Professional Skills</b> </p> <ul> <li>Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders.</li> <li>Strong client-facing consulting experience.</li> <li>Ability to work cross-functionally and manage multiple projects simultaneously.</li> </ul>

Data & AI Consultant

10X Genomics

<div><p>10x Genomics is seeking a <b>Principal, Marketing Analytics</b> to lead the development of advanced analytics frameworks that drive marketing performance and strategic growth. This senior individual contributor role blends deep technical expertise with strategic influence, serving as a thought leader in marketing analytics while remaining highly hands-on in execution.</p>
<p>
You will own the design and delivery of full-funnel marketing insights, attribution models, and performance optimization strategies. Your work will directly shape marketing decisions, customer acquisition strategies, and investment priorities across channels. This role is part of the Business Insights &amp; Analytics team in Commercial Organization.</p>
<h3 class="jobSectionHeader"><b>
What you will be doing:</b></h3>
<ul><li>Serve as a strategic partner to marketing leadership, translating business goals into data-driven strategies and measurable outcomes.</li>
<li>Architect and advocate for a unified customer data model, collaborating with data engineering to ensure scalable, high-quality data infrastructure.</li>
<li>Lead the development of attribution models and marketing mix analyses to identify high-impact campaigns and optimize spend.</li>
<li>Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels.</li>
<li>Conduct deep-dive analyses of customer behavior, campaign effectiveness, and channel ROI to uncover growth opportunities.</li>
<li>Define and track key metrics such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), and conversion rates.</li>
<li>Design and analyze A/B tests to improve campaign performance and user experience.</li>
<li>Partner with marketing operations to enhance automation, segmentation, and targeting strategies using data insights.</li>
<li>Improve data accuracy, reporting processes, and analytics workflows across the marketing organization.</li>
<li>Analyze digital performance across SEO/SEM, website traffic, social media, and email campaigns.</li>
<li>Collaborate cross-functionally with Finance, Sales, and Product to align marketing analytics with broader business objectives.</li>
</ul><h3 class="jobSectionHeader"><b>Minimum Requirements:</b></h3>
<ul><li>Bachelor's degree in Marketing, Business, Statistics, Data Science, or a related field</li>
<li>6+ years of experience in <b>marketing analytics</b>, data science, or a related field, with a proven track record of driving measurable impact.</li>
<li><b>Expert-level proficiency in SQL </b>and either Python or R for data manipulation and statistical analysis.</li>
<li>Strong understanding of statistical modeling, marketing attribution, and predictive analytics.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics).</li>
<li>Experience with CRM and marketing automation platforms (e.g., Salesforce, Marketo).</li>
<li>Ability to synthesize complex data into clear, actionable insights for both technical and non-technical stakeholders.</li>
<li>Excellent communication, collaboration, and project management skills.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Advanced degree preferred</li>
<li>Experience in a fast-paced, high-growth environment, ideally within a healthcare/life sciences multinational or tech-driven organization.</li>
</ul>
<p><b><i>This is a high-impact role that will directly influence marketing strategy and business growth through data-driven insights.</i></b></p><div><p><b>
About 10x Genomics</b></p>
<p>
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.<br>
<br>
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.<br>
<br>
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.</p>
<p><i>
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.</i></p>
<p>
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.</p></div></div><p></p>

Principal, Marketing Analytics

Databricks

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 At Databricks our mission is to democratize data and AI. We are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world&rsquo;s best data and AI infrastructure and making it accessible for companies of any size to easily self-serve the platform capabilities to derive data insights and accelerate decision making.
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 In this role, you&rsquo;ll help scale our marketing impact by building data-driven insights and predictive models that shape messaging, channel strategy, and customer engagement across the funnel. You'll partner closely with Marketing, Product, Sales, and Engineering to deliver measurement frameworks that drive real-time optimization and long-term growth.
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  Outcomes You Will Drive
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  <li>
   Attribution &amp; ROI Modeling: Design and manage Multi-Touch Attribution (MTA) and Marketing Mix Models (MMM) to quantify the impact of marketing across the buyer journey.
  </li>
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   Causal Inference &amp; Marketing Lift: Apply techniques like propensity score matching and double robust regression to isolate marketing&rsquo;s incremental impact.
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   Experimentation: Partner with teams to design and analyze A/B tests and incrementality studies that optimize campaign performance.
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   Segmentation &amp; Personalization: Develop audience clusters using first- and third-party data to improve targeting, message relevance, and conversion.
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   Funnel Enablement: Build lead prioritization models and scoring systems to improve sales velocity and conversion.
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   Insight Generation: Translate complex data into clear insights and executive narratives that influence strategy and drive decision-making.
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   Campaign Optimization: Use ML and regression models to improve targeting, spend allocation, and segmentation at scale.
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  <li>
   Buyer Journey Analytics: Map full-funnel journeys across direct and partner-led paths to identify drop-off points and optimize nurture.
  </li>
  <li>
   Education &amp; Enablement: Build playbooks, dashboards, and training to operationalize analytics and empower stakeholders.
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  </li>
 </ul>
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  Basic Qualifications
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  <li>
   Degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Marketing Analytics, or a related discipline)
  </li>
  <li>
   7+ years of experience in marketing analytics, marketing data science, or business intelligence, ideally in B2B SaaS or marketplace environments
  </li>
  <li>
   Proven experience with B2B marketing funnels, campaign KPIs (e.g., conversion rates, CAC, ROI), and performance measurement
  </li>
  <li>
   Proficiency in Python (or R) with libraries like pandas, NumPy, scikit-learn, or statsmodels for data analysis and modeling
  </li>
  <li>
   Strong grasp of causal inference methods and experience applying them in real-world marketing use cases
  </li>
  <li>
   Experience with experimentation platforms, A/B testing frameworks, and interpreting results at scale
  </li>
  <li>
   Skilled at relationship building, communications, and project management to drive strategic alignment and execution across stakeholders at all levels.
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  </li>
 </ul>
 <strong>
  About Databricks
  <br/>
  <br/>
 </strong>
 Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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  Benefits
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 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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  Our Commitment to Diversity and Inclusion
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  <br/>
 </strong>
 At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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  Compliance
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  If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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