marketing data scientist

WorkGenius Group

<div>
 
 Title:
 
 Data Scientist II
 
 
 
 Industry:
 
 Tech
 
 
 
 Location:
 
 Culver City, CA
 
 
 
 Duration:
 
 12 months
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain machine learning models, forecasting tools, and optimization frameworks
 </li>
 <li>
 Analyze marketing performance and identify trends to improve campaign effectiveness
 </li>
 <li>
 Conduct causal analysis to evaluate the impact of marketing initiatives
 </li>
 <li>
 Develop models to measure upper-funnel marketing performance across diverse data sources
 </li>
 <li>
 Collaborate with cross-functional teams to solve business problems using data
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 3+ years of experience, or Master&rsquo;s degree with 2+ years in data science or related field
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning techniques
 </li>
 <li>
 Proficiency in SQL and Python or R for data analysis
 </li>
 <li>
 Experience with supervised and unsupervised learning methods
 </li>
 <li>
 Understanding of digital marketing data and KPIs (e.g., social, SEO, paid media)
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Data Science
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Causal Analysis
 </li>
 <li>
 Marketing Performance
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 SQL
 </li>
 <li>
 Python
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Digital Marketing
 </li>
 <li>
 Analytical Skills
 
 
 </li>
 </ul>
 Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
 
 
 ref_id: 34755934-4182-4f5b-a324-b304ab950680
 
 
</div>

Data Scientist II

Ascendion

<div>
 About Ascendion
 
 Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what&rsquo;s next.
 
 
 Learn more at &nbsp;https://ascendion.com/.
 
 
 
 Ascendion | Engineering to elevate life
 
 
 
 We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
 
 <ul>
 <li>
 Build the coolest tech for the world&rsquo;s leading brands
 </li>
 <li>
 Solve complex problems - and learn new skills
 </li>
 <li>
 Experience the power of transforming digital engineering for Fortune 500 clients
 </li>
 <li>
 Master your craft with leading training programs and hands-on experience
 </li>
 </ul>
 
 Experience a community of change makers!
 
 
 Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
 
 
 About the Role
 <ul>
 <li>
 
 Job Title:
 
 Data Scientist
 </li>
 <li>
 
 Location:
 
 &nbsp;Redmond, WA,&nbsp;98052
 </li>
 <li>
 
 Summary:
 
 This is a Marketing Data Science role. Marketing analytics experience required.
 </li>
 </ul>
 
 Job Responsibilities
 
 <ul>
 <li>
 Work with senior management, technical and client teams to determine data requirements, business data implementation approaches, and best practices for advanced data manipulation.
 </li>
 <li>
 Write and code logical and physical database descriptions and specify identifiers of the database.
 </li>
 <li>
 Design, implement, automate, and maintain large-scale enterprise data ETL processes.
 </li>
 <li>
 Modify existing databases and database management systems, test programs or databases, correct errors, and make necessary modifications.
 </li>
 </ul>
 &nbsp;Minimum Qualifications
 <ul>
 <li>
 Bachelor's degree in a technical field such as computer science, computer engineering, or related field required.
 </li>
 <li>
 8-10 years of applicable experience required.
 </li>
 <li>
 Experience with database technologies, knowledge of the ETL process, and at least one scripting language.
 </li>
 <li>
 Strong written and oral communication skills, troubleshooting, problem-solving skills, and a demonstrated history of success.
 </li>
 </ul>
 &nbsp;Desired Qualifications
 <ul>
 <li>
 Desire to work with data and help businesses make better data-driven decisions.
 </li>
 </ul>
 &nbsp;
 
 Explain a typical day in the role
 
 &nbsp;
 <ul>
 <li>
 Partner with Marketing, business, and finance teams to understand and analyze digital marketing campaigns, create measurement plans, and drive post-mortem analyses. Build segmentation and KPI foundations for performance marketing. Collaborate with analytics engineers on building automations and reporting.
 </li>
 </ul>
 
 What is the ideal background of a candidate for this role?
 
 <ul>
 <li>
 We are ideally looking for a professional with direct marketing experience in digital products, preferably in gaming.
 </li>
 </ul>
 
 Top 3 Must-Have HARD Skills &amp; years of experience for each
 
 <ul>
 <li>
 Marketing analytics
 </li>
 <li>
 SQL/Python
 </li>
 <li>
 Databricks is strongly preferred for candidates to have but not required
 </li>
 </ul>
 
 
 Salary and Other Compensation:
 
 The annual [salary] for this position is between [$1,45,600 - $1,66,400 annually] .Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
 
 
 
 
 Benefits:
 
 The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long term disability insurance [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
 
 
 Want to change the world? Let us know.
 
 Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!
 
</div>

Data Scientist

Spotify

<div>
 We are looking for a Data Scientist to join the Business Analytics team at Spotify. In this role, you&rsquo;ll shape Spotify&rsquo;s performance marketing and growth strategy by developing models, designing experiments and measuring the impact of marketing investments. Partnering with the Growth Analytics Lead, you&rsquo;ll turn data into strategies that guide budget allocation, optimize spend and accelerate efficient growth across paid media channels. You&rsquo;ll collaborate with a global, cross-functional team of analysts, data scientists, marketers, business leaders, and engineers to scale insights and drive efficient growth. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.
 
 
 The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 700M+ users around the globe. At your fingertips, you&rsquo;ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio!
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Develop data-driven strategies to drive the growth of Spotify users and subscribers, with a focus on performance marketing
 </li>
 <li>
 Refine attribution practices and define robust, data-backed methods to measure the incremental impact of marketing spend
 </li>
 <li>
 Partner with third-party advertising platforms and agencies to design and implement comprehensive experiments and lift studies
 </li>
 <li>
 Contribute to annual and quarterly planning through impact forecasting, budget allocation and scenario modelling
 </li>
 <li>
 Build scalable data pipelines and dashboards to track marketing efficiency and Global business performance
 </li>
 <li>
 Collaborate closely with business partners to understand growth drivers and guide strategic marketing decisions
 </li>
 <li>
 Present insights and recommendations to senior stakeholders, influencing the course of our business
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 3+ years synthesizing insights from data using tools such as Python/R and SQL
 </li>
 <li>
 Hands-on experience supporting marketing organizations with their paid media strategy, including running and analyzing incrementality tests on platforms like Meta, Google and TikTok
 </li>
 <li>
 Proven experience building advanced models to understand and optimise paid media campaigns
 </li>
 <li>
 Skilled at collaborating with business partners to measure the impact of marketing initiatives and presenting those findings in coherent recommendations
 </li>
 <li>
 Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
 </li>
 <li>
 Have a background in Computer Science, Statistics, Engineering or other relevant field
 </li>
 <li>
 Comfortable working on a globally distributed team (with occasional international travel)
 
 
 </li>
 </ul>
 Where You'll Be
 
 
 <ul>
 <li>
 This role is based in New York
 </li>
 <li>
 We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
 
 
 </li>
 </ul>
 The United States base range for this position is $110,018 - $157,169, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, paid sick leave. These ranges may be modified in the future.
 
 
 Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
 
 At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.
 
 
 Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.
</div>

Data Scientist - Growth Analytics (Performance Marketing)

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know our
 
 
 Team:
 
 
 
 The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
 
 
 
 In this Role, you&rsquo;ll get
 
 
 to:
 
 
 
 <ul>
 <li>
 Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
 </li>
 <li>
 Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to
 
 
 Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science)
 </li>
 <li>
 Ability to communicate fluently in English
 </li>
 <li>
 Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau
 </li>
 <li>
 Good numerical reasoning skills
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Intellectual curiosity and analytical skills
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you
 
 
 Have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing
 </li>
 <li>
 Academic research experience
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3
 
 
 <ul>
 <li>
 Experience in R studio, data modeling, hypothesis testing is a plus
 
 
 </li>
 </ul>
 
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java
 
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Data Analyst (Bangkok Based, relocation provided)

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get To Know The Team:
 
 
 
 The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
 
 
 Due to continued expansion,
 
 there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:
 
 
 
 <ul>
 <li>
 Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding&amp; pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap
 </li>
 <li>
 Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to
 
 
 Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study
 </li>
 <li>
 0 to 4 years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company
 </li>
 <li>
 Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
 </li>
 <li>
 Excellent verbal and written communication skills in English
 </li>
 <li>
 Ability to move fast and be efficient, making decisions on objective data evidence
 </li>
 <li>
 Innate desire to take ownership, make an impact and influence outcomes
 </li>
 <li>
 Excellent organizational skills, attention to detail and ability to work independently
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you
 
 
 Have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing or e-commerce
 </li>
 <li>
 Experience with A/B testing and other testing metrics
 </li>
 <li>
 Strong presentation and negotiation skills
 
 
 </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Strategy Analyst (Bangkok Based, Relocation Provided)

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to know our team:
 
 
 
 The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
 
 
 Due to continued expansion,
 
 there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:
 
 
 
 <ul>
 <li>
 Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding&amp; pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
 </li>
 <li>
 Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap
 </li>
 <li>
 Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study
 </li>
 <li>
 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company
 </li>
 <li>
 Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
 </li>
 <li>
 Excellent verbal and written communication skills in English
 </li>
 <li>
 Ability to move fast and be efficient, making decisions on objective data evidence
 </li>
 <li>
 Innate desire to take ownership, make an impact and influence outcomes
 </li>
 <li>
 Excellent organizational skills, attention to detail and ability to work independently
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Experience in digital marketing or e-commerce
 </li>
 <li>
 Experience with A/B testing and other testing metrics
 </li>
 <li>
 Strong presentation and negotiation skills
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
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 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
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 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
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