customer insights analyst

Xanterra

Overview (Text Only): 
Awarded World’s Best Small Ship Cruise line, Windstar Cruises is known for intimate yacht style experience and unique voyages to the world’s best small ports and hidden harbors. Its three sailing yachts and four all-suite yachts carry just 148 to 342 guests and cruise around the world. Our mission is to imagine and deliver personalized and immersive experiences 180 degrees from ordinary. We enrich people’s perspective through inspired travel.
 
Our Mission: We imagine and deliver personalized and immersive experiences 180 degrees from ordinary
 Our Vision: Enriching people’s perspective through inspired travel
 Our Values: Welcoming, Innovative, Now, Discipline, Serve, Teamwork, Authentic, Responsible
 
Job Summary: 
We are seeking an Analyst – Customer Insights & Data Analytics to join our Revenue Management team! This Analyst role is responsible for transforming data into actionable insights that support vacation planning, customer demand, and commercial decisionmaking. This role sits within a centralized team of Data Analysts and Data Scientists, sharing common data assets, tools, and standards, while maintaining a dedicated partnership with the Vacation Planning team. The ideal candidate has a strong data analytics or data science background, is comfortable working with business stakeholders, and excels at turning complex data into clear, decisionready insights. This role is crucial in driving data-informed and AI augmented decision-making across inbound, outbound, and onboard service & sales operations. The individual will also have projects related to data science structure and analytics automation.
 
Responsibilities (Text Only): 
Business Intelligence, Data Science, & Analytics
 <ul>
<li>Apply statistical analysis, forecasting techniques, and exploratory data analysis to business problems</li>
<li>Develop analytical models, dashboards, and tools to support revenue optimization</li>
<li>Design, build, and maintain dashboards, reports, and selfservice analytics to support business decisionmaking</li>
<li>Analyze customer behavior, booking patterns, preferences, and trends related to vacation planning</li>
<li>Translate business questions into analytical approaches and data requirements</li>
<li>Ensure data accuracy, consistency, and alignment with enterprise metrics and definitions</li>
<li>Automate recurring reports and analyses to improve efficiency and scalability</li>
<li>Validate data quality and ensure analytical outputs align with business reality</li>
<li>Communicate insights clearly through visualizations and executiveready summaries</li>
<li>Improve documentation and knowledge transfer for analytics consumers</li>
</ul>
Vacation planning support
 <ul>
<li>Act as a primary analytics partner to the Vacation Planning team.</li>
<li>Support planning, forecasting, and performance analysis related to vacation products, itineraries, destinations, and customer journeys.</li>
<li>Provide insights into demand drivers, conversion, customer engagement, product performance, and incentive payments.</li>
<li>Assist with adhoc analysis, presentations, and executive summaries for planning and commercial reviews.</li>
<li>Proactively identify opportunities to improve planning decisions through data.</li>
<li>Leverage AI tools and advanced analytics to uncover customer behavior patterns, booking trends, and revenue opportunities.</li>
<li>Develop customer insights frameworks that translate raw data into meaningful, actionable business recommendations.</li>
<li>Deliver proactive, forward-looking insights (not just retrospective reporting), including predictive indicators for sales performance, staffing needs, and guest demand.</li>
<li>Integrate AI capabilities into dashboards (e.g., trend detection, anomaly alerts, next-best-action recommendations).</li>
<li>Continuously evolve dashboards to include predictive analytics, scenario modeling, and automated insights generation.</li>
<li>Train team leads, supervisors, and managers on how to interpret dashboard and leverage insights.</li>
</ul>
Qualifications (Text Only): 
<ul>
<li>Minimum of 3-5 years of data science, business intelligence, or vacation planning / call center experience</li>
<li>Bachelor’s degree in an analytical field (e.g. statisics, data science, data analytics)</li>
<li>Experience in Cruise, Travel, Hospitality, or transportation industry strongly preferred</li>
<li>Experience in a sales environment or call center beneficial but not required</li>
<li>Strong analytical, quantitative, and problem solving skills with a business mindset</li>
<li>Proficiency preferred in analytical tools such as:</li>
<li>Python or R</li>
<li>SQL</li>
<li>BI and Data visualization (e.g. Power Bi, Tableau, etc)</li>
<li>Understanding of database structure and data management</li>
<li>Understanding of forecasting and demand management concepts</li>
<li>Strong organization, technical aptitude, management and collaboration skills.</li>
<li>Ability to communicate complex analysis in clear, actionable terms</li>
</ul>
Benefits: 
For full-time employees, Windstar offers a comprehensive benefits package including: Medical, Dental & Vision; HSA & FSA; Life & Disability; Accident, Hospital & Critical Illness; Pet Insurance; Vacation, Sick Time and paid Holidays; 401(k) with Company Match; Employee Assistance Plan; Education Assistance and Employee Discounts & Travel Deals.
 
EEO: 
Windstar is committed to a diverse and inclusive workplace. We are an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, pregnancy, genetic information, protected veteran status, or any other legally protected status.

Analyst, Customer Insights & Data Analytics

Full House Resorts

<div><div>Casino Marketing Analyst &ndash; Campaign Analytics &amp; AI-Enabled Measurement 
Location: Las Vegas, NV (On-site) 
If This Sounds Like You... 
<ul><li>Do you use data to tell clear, actionable stories about what is and isn&rsquo;t working in marketing?</li><li>Do you focus on driving **profitable** customer behavior and long-term value, not just clicks</li></ul>
or visits? 
<ul><li>Are you fluent in AI-enabled modeling and excited to use it to improve targeting, offers, and</li></ul>
media effectiveness? 
<ul><li>Do you enjoy collaborating across marketing, operations, finance, and IT to get to better</li></ul>
business outcomes? 
<ul><li>Are you a self-starter who is intellectually curious and comfortable testing, learning, and</li></ul>
iterating? 
<ul><li>Do you think in terms of customer lifetime value, incremental revenue, and ROI instead of</li></ul>
vanity metrics? 
If yes, we&rsquo;d like to talk with you. 
Do Not Apply If... 
<ul><li>You are not a collaborator or dislike cross-functional work</li><li>You are not willing to travel as business needs require</li><li>You are not currently located in the Las Vegas area</li><li>You are not fluent in AI-enabled modeling and analytics</li><li>You require a rigid, inflexible schedule</li><li>You lack an undergraduate degree with 4+ years of relevant experience, or a graduate degree</li></ul>
with relevant experience 
<ul><li>You are looking for a systems/data engineering role rather than an analyst/insights role</li></ul>
About the Role 
This senior individual contributor supports the Chief Marketing Officer in developing 
measurements and making recommendations for campaign optimization across a network of 
strategic business units. You will design, measure, and optimize direct marketing and media 
campaigns to drive customer lifetime value (CLV), incremental trips, and incremental revenue, 
using advanced analytics and AI-based modeling. 
What You&rsquo;ll Do 
<ul><li>Design test-and-learn approaches (A/B, multivariate, control vs. test) for direct mail, email,</li></ul>
SMS, app, and paid media</div>
<ul><li>Build and maintain AI/ML models (segmentation, propensity, churn, offer optimization, next-</li></ul>
best-action)
<ul><li>Analyze heavy direct marketing programs (reinvestment, tier, reactivation, high-value players)</li></ul>
and connected media spend 
<ul><li>Develop frameworks to measure incrementality and distinguish true lift from natural behavior</li></ul>
<ul><li>Partner with leaders across strategic business units to define KPIs and turn insights into clear</li></ul>
recommendations 
<ul><li>Build dashboards and recurring reports on campaign performance, customer value, and</li></ul>
media effectiveness
<div>
What We&rsquo;re Looking For 
<ul><li>Undergraduate degree with 4+ years in analytics/marketing, or a quantitative graduate</li></ul>
degree with relevant experience 
<ul><li>Deep experience in direct marketing analytics (direct mail, email, SMS, loyalty, reinvestment)</li><li>Strong skills in AI-enabled modeling (e.g., propensity, look-alike, churn, optimization) using</li></ul>
Python/R, SQL, or similar 
<ul><li>Experience with visualization tools (Tableau, Power BI, Looker, etc.)</li><li>Ability to connect analytics to business outcomes (CLV, incremental revenue, profitability)</li><li>Comfort working with large casino and loyalty datasets</li><li>Self-starter, intellectually curious, highly collaborative, and adaptable</li></ul>
Nice to Have 
<ul><li>Casino, gaming, hospitality, or entertainment experience</li><li>Hands-on work with patron management systems (Konami), casino data warehouses, CMS,</li></ul>
and player loyalty databases 
<ul><li>Experience with media mix, attribution, or cross-channel measurement</li></ul>
Work Environment 
<ul><li>On-site in Las Vegas, NV</li><li>Travel as needed for property visits and cross-unit collaboration</li><li>Reports to the Chief Marketing Officer and works closely with the VP of Advertising across</li></ul>
five properties 
Do you meet these requirements and want to use AI-driven analytics to shape the future 
of casino marketing? Apply now.</div></div>

Casino Marketing Analyst

Enlyte

<div>Company Overview:
<div>
At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.</div><div></div><div> 
Be part of a team that makes a real difference.</div>
Job Description :
<div>
The Customer Intelligence Strategy Analyst is responsible for leading the evolution of customer intelligence capabilities through AI‑driven insights and integrated customer data. This role builds a unified, predictive, and holistic view of the customer across the post‑sale lifecycle and drives revenue retention by converting complex customer signals into clear, actionable guidance for customer success, sales, executive sponsors, and operational teams. This role owns the vision, governance, and evolution of customer intelligence, including data ingestion, customer health modeling, churn prediction, behavioral analytics, KPI tracking and AI‑enabled insight generation.</div><h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Lead the development of predictive retention and churn‑risk models, leveraging behavioral, engagement, product‑usage, and sentiment analytics.</li><li>
Execute the roadmap for AI‑enabled customer intelligence, including generative AI, machine learning, and automated insight generation.</li><li>
Own customer‑intelligence data within Salesforce and related systems, ensuring governance, accuracy, scalability, and integration into AI models.</li><li>
Partner with Enterprise Business Technology to unify customer data across Salesforce, CX platforms, and feedback tools into a single holistic customer view, while leading shared technical resources.</li><li>
Establish and enhance analytics frameworks for customer health scoring, introducing AI‑supported workflows that surface risks, expansion signals, and recommended actions.</li><li>
Own revenue‑retention analytics, including predictive churn indicators and risk modeling.</li><li>
Develop standardized analytics connecting customer behavior, product usage, adoption maturity, renewal performance, and operational indicators across market segments.</li><li>
Synthesize customer intelligence into clear narratives, providing recommendations with measurable business impact.</li><li>
Partner with Client Services leadership to optimize Salesforce workflows, improving visibility into customer engagement and predictive indicators.</li><li>
Lead strategy, evaluation, and implementation of Voice of the Customer tools, including surveys, interviews, sentiment analysis, and unstructured‑data processing.</li><li>
Serve as a trusted partner to Customer Success, Sales, and Product, delivering insights that shape renewal planning, customer journeys, and value messaging.</li><li>
Drive accountability for data‑driven decision‑making, influencing actions through insights, storytelling, and a deep understanding of the customer lifecycle.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree required with 5+ years in customer analysis, customer intelligence analytics, customer success operations, or related field.</li><li>
Strong analytical and synthesis skills, especially with qualitative customer data.</li><li>
Understanding of customer success, retention levers, and post‑sale lifecycle management.</li><li>
Strong customer success and retention mindset with a data-driven approach.</li><li>
Advanced Salesforce expertise in reporting, dashboards, and data governance.</li><li>
Strong project and stakeholder management skills; able to lead without direct authority.</li><li>
Experience partnering with senior stakeholders and influencing outcomes across functions.</li><li>
Exceptional communication and executive‑level presentation skills.</li><li>
Experience managing vendors and cross-functional technology resources.</li><li>
Strategic thinker with an operational mindset. Ability to translate insights into improvements.</li><li>
Proven experience implementing or leveraging AI, predictive analytics, or automation within sales or customer success ecosystems.</li><li>
Proficiency with generative AI tools (ChatGPT, Claude) and strong understanding of AI governance, risks, and opportunities.</li><li>
Demonstrated experience owning retention metrics and customer feedback programs.</li></ul>
Benefits:
<div>
We&rsquo;re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&amp;D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $80,000 - $115,000 annually, and will be based on a number of additional factors including skills, experience, and education.</div><div> 
</div>The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.<div> 
</div><div>Don&rsquo;t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div> 
#LI-AP1</div><div>
#LI-Remote</div><div>
#ENT</div></div><div></div>

Customer Intelligence Strategy Analyst

FMCG

Key Responsibilities:<ul><li>Analyze customer feedback from surveys, complaints, and service interactions.</li><li>Monitor customer satisfaction metrics such as CSAT, NPS, and Customer Retention Rate.</li><li>Identify gaps in customer service processes and recommend improvements.</li><li>Prepare reports and dashboards on customer experience performance.</li><li>Work closely with marketing, sales, and operations teams to improve the customer journey.</li><li>Track customer complaints and ensure timely resolution.</li><li>Conduct customer journey mapping and identify pain points.</li><li>Support implementation of customer experience strategies and initiatives.</li><li>Provide insights based on data analysis to improve products and services.</li><li>Ensure a high standard of customer satisfaction across all touchpoints.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Business Administration, Marketing, or a related field.</li><li>2&ndash;4 years of experience in customer experience, customer service analysis, or a similar role.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in Excel, Power BI, or data analysis tools.</li><li>Excellent communication and reporting skills.</li><li>Ability to analyze data and convert insights into actionable recommendations</li></ul>Job Type: Full-timePay: From Rs85,000.00 per monthWork Location: In person

Customer Experience Analyst

Thorne

<div>
 
 
 Department:
 
 Marketing
 
 
 
 Location:
 
 Remote
 
 
 
 Compensation:
 
 $150,000 - $165,000 / year
 
 
 
 
 Description
 
 
 
 
 At Thorne, we work to deliver high-quality, science-backed solutions to empower individuals to take a proactive approach to their well-being. Each day begins with a mission to help others discover and achieve their best health. We count on our team members to challenge and push the boundaries to make that happen. At Thorne, you&rsquo;ll be joining a team of more than 750 passionate individuals committed to our cause of providing superior health solutions at every age and life stage.
 
 
 
 The Marketing Data Scientist will lead modeling and analytics initiatives that improve how we understand, engage, and grow our customer base. This role will focus on building models that uncover insights about customer demographics, behaviors, and preferences to drive more effective marketing strategies.
 
 
 This role will partner closely with marketing, analytics, and product teams to identify opportunities where modeling can improve targeting, customer engagement, and marketing performance. This role will also own and refine the organization&rsquo;s Marketing Mix Model while developing new models that enhance customer segmentation, lifecycle marketing, and product insights.
 
 
 The ideal candidate combines strong statistical and machine learning expertise with the ability to translate analytical findings into clear strategic recommendations for business stakeholders.
 
 
 
 
 
 
 RESPONSIBILITIES
 
 
 
 
 Marketing Mix Modeling &amp; Channel Measurement
 
 <ul>
 <li>
 Own and refine the organization&rsquo;s Marketing Mix Model (MMM), evaluating current methodology and improving model accuracy and interpretability.
 </li>
 <li>
 Translate model outputs into actionable insights that inform marketing investment decisions and channel strategy.
 </li>
 <li>
 Partner with marketing stakeholders to ensure model outputs are effectively incorporated into planning and performance evaluation.
 </li>
 </ul>
 
 
 Customer Segmentation &amp; Behavioral Modeling
 
 <ul>
 <li>
 Develop advanced customer segmentation models that leverage demographic, behavioral, and transactional data to improve targeted marketing strategies.
 </li>
 <li>
 Build models that identify meaningful customer cohorts, lifecycle stages, and engagement patterns.
 </li>
 <li>
 Support marketing teams in operationalizing segmentation frameworks that drive personalized marketing and audience targeting.
 </li>
 </ul>
 
 
 Marketing Engagement &amp; Journey Modeling
 
 <ul>
 <li>
 Analyze customer interaction patterns to identify optimal marketing engagement strategies across the customer lifecycle.
 </li>
 <li>
 Develop models that inform more effective marketing journeys, channel sequencing, and customer touchpoints.
 </li>
 <li>
 Partner with marketing and data teams to enable activation of model outputs through marketing platforms and customer data infrastructure.
 </li>
 </ul>
 
 
 Customer Insights &amp; Sentiment Modeling
 
 <ul>
 <li>
 Build models that help identify emerging customer needs, sentiment trends, and product opportunities.
 </li>
 <li>
 Analyze customer feedback, engagement behavior, and other signals to uncover insights that inform marketing strategy and product development.
 </li>
 <li>
 Provide recommendations on how insights from customer behavior and sentiment can guide new product or feature opportunities.
 </li>
 </ul>
 
 
 Model Development &amp; Innovation
 
 <ul>
 <li>
 Identify new opportunities where statistical or machine learning models can improve marketing effectiveness and customer understanding.
 </li>
 <li>
 Design and build models using modern data science tools and methodologies.
 </li>
 <li>
 Continuously evaluate emerging techniques and determine their applicability to marketing and customer analytics.
 </li>
 </ul>
 
 
 Stakeholder Partnership
 
 <ul>
 <li>
 Partner with marketing channel owners and product teams to identify analytical opportunities that support marketing strategy and customer growth.
 </li>
 <li>
 Present modeling insights and recommendations to marketing leadership and cross-functional stakeholders.
 </li>
 <li>
 Help build a data-driven culture within marketing by translating complex analyses into actionable business insights.
 </li>
 </ul>
 
 
 Vendor &amp; Cross-Functional Collaboration
 
 <ul>
 <li>
 Collaborate with external partners and vendors that support modeling, machine learning engineering, or advanced analytics initiatives.
 </li>
 <li>
 Partner with internal analytics, engineering, and data platform teams to ensure models can be integrated into data infrastructure and marketing activation workflows.
 
 
 
 
 </li>
 </ul>
 
 WHAT YOU NEED
 
 
 
 
 Required Competencies:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
 </li>
 <li>
 4+ years of experience in data science, marketing science, econometrics, or a related quantitative field.
 </li>
 <li>
 Strong experience building statistical or machine learning models using Python or R.
 </li>
 <li>
 Experience developing customer segmentation, clustering, or behavioral models.
 </li>
 <li>
 Strong foundation in statistical techniques such as regression, clustering, classification, and causal analysis.
 </li>
 <li>
 Strong SQL skills and experience working with large datasets in cloud data environments.
 </li>
 <li>
 Ability to communicate complex analytical findings clearly to non-technical stakeholders.
 </li>
 </ul>
 
 Preferred Competencies/Experience:
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Statistics, Data Science, Economics, Applied Mathematics, Computer Science, or a related quantitative field.
 </li>
 <li>
 Experience working with marketing or customer analytics data.
 </li>
 <li>
 Experience building models that support audience targeting, lifecycle marketing, or personalization.
 </li>
 <li>
 Familiarity with marketing technology platforms, customer data platforms (CDPs), or marketing activation tools.
 </li>
 <li>
 Experience collaborating with external modeling or data science vendors.
 </li>
 <li>
 Experience operationalizing models in production or working alongside ML engineering teams.
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 WHAT WE OFFER
 
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 100% company-paid medical, dental, and vision insurance coverage for employees
 </li>
 <li>
 Company-paid short- and long-term disability insurance
 </li>
 <li>
 Company- paid life insurance
 </li>
 <li>
 401k plan with employer matching contributions up to 4%
 </li>
 <li>
 Gym membership reimbursement
 </li>
 <li>
 Monthly allowance of Thorne supplements
 </li>
 <li>
 Paid time off, volunteer time off and holiday leave
 </li>
 <li>
 Training, professional development, and career growth opportunities
 
 
 </li>
 </ul>
 Thorne is the leader in science-backed health and wellness solutions committed to helping individuals live healthier longer. As the top recommended clinical brand by healthcare practitioners, Thorne offers a comprehensive range of products including nutritional supplements and health tests designed to meet the unique needs of individuals at every stage of life. Founded in 1984, Thorne products are formulated with the highest-quality ingredients, supported by clinical research, and rigorously tested to ensure purity, potency, and efficacy. Thorne is trusted by 47,000+ health-care professionals, thousands of professional athletes, more than 100 professional sports teams, multiple U.S. National Teams, and more than five million consumers. For more information, visit Thorne.com.
 
 
 
 THORNE IS AN EQUAL OPPORTUNITY EMPLOYER
 
</div>

Marketing Data Scientist

AlphaSense

<div>
 
 About AlphaSense
 
 
 
 The world&rsquo;s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients&rsquo; own research content.
 
 
 The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&amp;P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
 
 
 
 About The Team
 
 
 
 Working hand-in-hand with our Directed Content and 1x1 Call Services groups, this team provides timely channel checks and voice-of-customer interviews that reveal real-time demand signals, competitive dynamics, and purchasing behavior across priority industry verticals. By identifying the right operator, distributor, or end-customer profiles&mdash;and engaging them at the optimal moment in the quarter&mdash;we help investors surface differentiated, actionable insights.
 
 
 Channel &amp; Customer Research (CCR) delivers scalable primary research that provides real-time insight into company performance and industry conditions. Through structured interviews with distributors, resellers, suppliers, consultants, and other channel partners, CCR captures the perspectives of professionals directly involved in how products and services move through the market. Leveraging AlphaSense&rsquo;s AI Interviewer technology, CCR is able to conduct and scale structured expert interviews continuously, expanding coverage while maintaining consistency and analytical rigor. Covering hundreds of companies across major sectors, CCR provides investors and corporate users with channel research that offers a continuous view of demand trends, competitive dynamics, and market conditions as they develop.
 
 
 
 About The Role
 
 
 
 Analysts are the execution engine for our Channel and Customer Research offering. You will:
 
 
 <ul>
 <li>
 Map the expert universe for assigned verticals
 </li>
 <li>
 Source and vet high-value channel partners and customers
 </li>
 <li>
 Build long-term relationships with key channel sources
 </li>
 <li>
 Coordinate and monitor interviews
 </li>
 <li>
 Form sector expertise through regular and consistent research to remain up-to-date on industry trends and news
 
 
 </li>
 </ul>
 This role blends investigative research, stakeholder management, and rapid-fire project execution&mdash;perfect for early-career professionals eager to accelerate their learning curve inside a high-growth, data-driven organization.
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 Energetic Team Player: You have a proven ability to manage fast turnaround projects, meet deadlines and targets while maintaining a team-first mentality.
 </li>
 <li>
 Adaptable: You are a creative problem solver who is comfortable with changes and new challenges. You thrive in ambiguity and remain resilient when faced with adversity.
 </li>
 <li>
 Inquisitive: You are naturally interested in learning and quickly see patterns that help you to identify the best possible experts for a given research project.
 </li>
 <li>
 Organized: You have demonstrated an ability to handle and prioritize multiple tasks and deadlines simultaneously and autonomously
 </li>
 <li>
 Detail Oriented: You have a strong attention to detail, with the ability to discern and precisely document the core elements of an expert&rsquo;s relevant skills or experience vis-a-vis a defined scope.
 </li>
 <li>
 Excellent Communicator: You&rsquo;ll regularly be engaging with industry experts to learn about their background and convey what it means to participate in our network. You are comfortable with all communication methods, including phone and email.
 </li>
 <li>
 Goal Oriented: You are motivated by the idea of identifying and delivering the best-possible expert profiles for each project scope quickly and efficiently
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Expert Sourcing &amp; Outreach: Drive email, phone, and LinkedIn campaigns to recruit best-fit experts; negotiate honoraria that balance insight value with cost discipline.
 </li>
 <li>
 Screening &amp; Onboarding: Conduct vetting calls to confirm role, recency, and perspective; ensure compliance with AlphaSense and client guidelines.
 </li>
 <li>
 Landscape Research: Develop and maintain target lists of distributors, resellers, customers, and other market participants aligned to quarterly coverage priorities.
 </li>
 <li>
 Interview Guide Creation: Build and maintain interview guides targeted to each type of call, industry sector, and expert profile - ensuring the best and most relevant insights are captured.
 </li>
 <li>
 Interview Facilitation: Schedule sessions at optimal times in the sell-side calendar; monitor calls, troubleshoot tech issues, and capture real-time highlights.
 </li>
 <li>
 Quality &amp; Compliance: Uphold rigorous data-privacy standards and maintain accurate records in internal CRM and workflow tools.
 </li>
 <li>
 Continuous Improvement: Share feedback on talk tracks, sourcing tactics, and emerging themes to refine our playbooks and coverage roadmap.
 
 
 </li>
 </ul>
 For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.
 
 
 You may also be offered a performance-based bonus, equity, and a generous benefits program.
 
 
 Base Compensation Range
 
 
 $52,000&mdash;$72,000 USD
 
 
 AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense&rsquo;s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
 
 
 In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
 
 
 Recruiting Scams and Fraud
 
 
 We At AlphaSense Have Been Made Aware Of Fraudulent Job Postings And Individuals Impersonating AlphaSense Recruiters. These Scams May Involve Fake Job Offers, Requests For Sensitive Personal Information, Or Demands For Payment. Please Note
 
 
 <ul>
 <li>
 AlphaSense never asks candidates to pay for job applications, equipment, or training.
 </li>
 <li>
 All official communications will come from an @alpha-sense.com email address.
 </li>
 <li>
 If you&rsquo;re unsure about a job posting or recruiter, verify it on our Careers page.
 
 
 </li>
 </ul>
 If you believe you&rsquo;ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
</div>

Channel and Customer Research Analyst

Chalhoub Group

<div>INSPIRE | EXHILARATE | DELIGHT
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040. 
What you'll be doing
Working as a CRM Associate &ndash; Customer Analytics, you will support the Customer Analytics and CRM teams in analyzing customer data and generating insights to improve engagement, retention, and lifetime value across GCC and USA markets. The role focuses on assisting with campaign analysis, customer segmentation, reporting, and supporting personalized communications across email, app, SMS, and other channels.
You will work with different customer data sources to help understand customer behavior, measure campaign performance, and contribute insights that improve the overall customer experience and support business growth<ul><li>
Work with large, diverse data sets including transactional data, app usage, web behavior, eCommerce data, retail data, and qualitative inputs across GCC &amp; USA markets.</li><li>
Execute CRM campaigns across email, SMS, app push, clienteling and WhatsApp to achieve KPIs.</li><li>
Maintain automated customer journeys, lifecycle flows, and trigger-based communications.</li><li>
Partner with, trade, content, creative, and digital marketing teams to ensure campaigns align with brand tone and objectives.</li><li>
Leverage customer data to create targeted segments based on behavior, demographics, and purchase patterns.</li><li>
Execute of cross-functional personalization strategies that improve engagement, conversion, and retention.</li><li>
Support loyalty program activities (e.g., MUSE) by integrating segmentation, tailored offers to acquire and retain clients via group initiatives.</li><li>
Monitor campaign KPIs (engagements, conversion, revenue uplift, unsubscribe rates).</li><li>
Prepare weekly and monthly reports on CRM performance for stakeholders.</li><li>
Work closely with analytics, digital marketing, and trade teams to align CRM with broader growth goals.</li><li>
Support testing strategies (A/B and multivariate tests) to optimize campaign performance.</li><li>
Upskill wider team on all customer analytics matters.</li></ul>
What you&rsquo;ll need to succeed
<ul><li>Strong analytical and problem-solving skills</li><li>
Advanced customer segmentation, behavioral analysis, and predictive modeling</li><li>
Experience with customer experience (CX), user experience (UX), and media performance analytics</li><li>
Data querying skills via SQL, GBQ, python</li><li>
Ability to work collaboratively in agile, cross-functional environments</li><li>
High attention to detail with speed, accuracy, and adaptability</li><li>
Understanding of customer behavior patterns, especially within the GCC region</li><li>
Strong commitment to data integrity, governance, and ethical use of analytic</li></ul>
What we can offer you
With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
We Invite All Applicants to Apply
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</div>

CRM Associate - Level Shoes

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