senior data analyst Jobs in Jeddah Saudi Arabia

senior data analyst

senior data scientist Jobs in Jeddah Saudi Arabia

senior data scientist

data analyst

Tamer Group

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  The Senior Data Analyst &ndash; Financial Planning &amp; Analysis (FP&amp;A) will play a key role in enhancing our financial data analytics capabilities across the Group. This role is responsible for developing high-quality dashboards, improving data accuracy, and supporting forecasting and performance analysis activities. The position will work closely with Group Finance leaders and business stakeholders to deliver actionable insights that support strategic and operational decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop, automate, and maintain financial and operational dashboards and reports (Power BI, SQL, Excel).
  </li>
  <li>
   Support annual budgeting, forecasting cycles, and monthly performance reviews.
  </li>
  <li>
   Drive data quality improvements and ensure data consistency across reporting systems.
  </li>
  <li>
   Conduct deep-dive analysis to identify performance trends, variances, and improvement opportunities.
  </li>
  <li>
   Partner with finance and business teams to translate data into meaningful business insights.
  </li>
  <li>
   Build and maintain data models to support scenario planning, predictive analytics, and financial decision support.
  </li>
  <li>
   Support Group-wide digital finance initiatives and enhancements to reporting processes.
  </li>
  <li>
   Ensure alignment with finance and FP&amp;A best practices and internal reporting standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Finance, Business Analytics, Data Science, or related field.
  </li>
  <li>
   Proven experience in data analytics, preferably within FP&amp;A, finance, or business analysis environment.
  </li>
  <li>
   Strong proficiency in Power BI, SQL, and advanced Excel.
  </li>
  <li>
   Experience with Oracle EPM (FCCS/PBCS) is an advantage.
  </li>
  <li>
   Strong understanding of financial planning, budgeting, and performance management concepts.
  </li>
  <li>
   Excellent analytical, problem-solving, and communication skills.
  </li>
  <li>
   Detail-oriented with a focus on data accuracy, quality, and continuous process improvement.
  </li>
 </ul>
</div>


Senior Data Analyst

Acciona Facility Middle East

<p><b>About the Role</b></p><p>We are looking for a Pricing and Demand Analyst to be responsible for analyzing expected demand based on historical data and seasonality, proposing optimal pricing strategies, and monitoring train quotas to maximize revenue and seat occupancy.</p><p><b>The day-to-day tasks:</b></p><ul><li>Prepare daily, weekly, and monthly reports on booking trends, passenger profiles, and demand forecasts.</li><li>Analyze and adjust train quotas per origin-destination (OD) to optimize seat utilization.</li><li>Develop and propose optimal pricing mixes for each train service.</li><li>Review booking curves and demand patterns to improve load factor and profitability.</li><li>Conduct ad-hoc analyses to support commercial decisions.</li><li>Use Google Analytics to evaluate passenger profiles, website visits, and conversion journeys.</li><li>Measure and report on the performance and ROI of pricing campaigns and promotional offers.</li><li>Support and mentor new team members within the department.</li></ul><p><b>The must have:</b></p><ul><li>Bachelor&rsquo;s degree in Business, Economics, Data Analytics, or a related field.</li><li>Intermediate proficiency in MS Office (Excel and PowerPoint).</li><li>Strong command of English and Arabic, both written and spoken.</li></ul><p><b>The good to have:</b></p><ul><li>Creative and analytical thinking</li><li>Proactive and critical mindset</li><li>Strong problem-solving and decision-making skills</li><li>Excellent communication and presentation abilities</li></ul><p>Interested applicants can send their CV to anayre@acciona.com or send a Whatsapp message to +974 70822906</p><p>Job Types: Full-time, Permanent</p><p>Pay: From &#65020;10,000.00 per month</p>

Pricing and Demand Analyst

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 <strong>
  Our Purpose -
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 <br/>
 <br/>
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 <strong>
  THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
  <br/>
  <br/>
  Location: Bangkok, Thailand (*Not open for remote work)
  <br/>
  <br/>
 </strong>
 <strong>
  Get to Know our Team:
  <br/>
  <br/>
 </strong>
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 <br/>
 <br/>
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 <br/>
 <br/>
 <strong>
  In this Role, you&rsquo;ll get to
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
  </li>
  <li>
   Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
  </li>
  <li>
   Proactively identify opportunities for growth within supply and the wider business.
  </li>
  <li>
   Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
  </li>
  <li>
   Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
  </li>
  <li>
   Automate manual operational processes and present back on time savings gained through modernization of business operations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you&rsquo;ll Need to Succeed
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
  </li>
  <li>
   Advanced working knowledge and hands-on experience in SQL
  </li>
  <li>
   Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
  </li>
  <li>
   Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
  </li>
  <li>
   Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
  </li>
  <li>
   Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
  </li>
  <li>
   Experience in conducting A/B testing experimentation
  </li>
  <li>
   Strong experience in finding data insights and provide business recommendation to the business
  </li>
  <li>
   A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
  </li>
  <li>
   Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
  </li>
  <li>
   Data driven in both decision making and performance measurement.
  </li>
  <li>
   Extreme comfort in ambiguous, fast-paced environment.
  </li>
  <li>
   Ability to multi-task, prioritize and coordinate resources.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s Great if you Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
  </li>
  <li>
   Asian market experience.
  </li>
  <li>
   Travel industry / e-commerce / tech / consulting experience.
   <br/>
   <br/>
  </li>
 </ul>
 #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
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 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>


Lead Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Unilever

<div><div><p><b>ABOUT UNILEVER</b></p></div><p>
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world.</p><p>
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don&rsquo;t believe in the &lsquo;one size fits all&rsquo; approach and instead we will equip you with the tools you need to shape your own future.</p><p></p><p>
The CSP Specialist plays a pivotal role in translating brand and category strategies into actionable commercial plans that drive mutual growth for the company and its customers. By leading the development of channel and customer-specific strategies, this role ensures the effective deployment of pricing, promotion, and assortment levers across the trade. Working cross-functionally with marketing, sales, finance and supply chain teams, the planner delivers data-driven insights, optimizes trade investments, and enables brilliant in-market execution. The role is central to aligning strategic intent with operational excellence, ensuring both brand equity and commercial performance are maximized. &gt;</p><p></p><p><b>
JOB PURPOSE</b></p><p>
Unilever is the place where you can bring your purpose to life with the work that you do &ndash; creating a better business and a better world. If you are someone who is passionate about leading business and see your strategies come alive on shelves&gt; then this role is just for you!</p><p></p><p><b>
WHAT WILL YOUR MAIN RESPONSIBILITIES BE</b></p><ul><li>
&lt; Sales Data Analysis &amp; Reporting:</li><li>
Analyze daily, weekly, and monthly sales performance across categories</li><li>
Track sell-in and sell-out data from retail partners, e-commerce platforms, and distributors across Arabia</li><li>
Develop and maintain dashboards to visualize sales trends, seasonal demand shifts, and promotional campaign performance.</li><li>
Market &amp; Consumer Insights:</li><li>
Monitor market trends, consumer behavior, and competitor activity in the beauty and wellbeing category</li><li>
Provide insights into product performance by region, channel, and customer segment</li><li>
Identify emerging beauty trends and recommend product focus areas based on data-driven insights.</li><li>
Assist in setting sales targets by region, channel, and account, ensuring alignment with strategic business goals.</li><li>
Promotional &amp; Campaign Analysis:</li><li>
Evaluate the effectiveness of promotions and in-store activations.</li><li>
Measure ROI of promotional activities and provide recommendations for future optimization.</li><li>
Track performance across key retail partner</li><li>
Cross-functional Collaboration:</li><li>
Provide ad-hoc analysis and reporting to support executive decision-making.</li></ul><p>
&gt;</p><p></p><p><b>
WHAT YOU NEED TO SUCCEED</b></p><p></p><p><b>
Experiences &amp; Qualifications</b></p><ul><li>
&lt; Bachelor&rsquo;s degree in Business, Economics, Statistics, Marketing, or a related field.</li><li>
2+ years of experience in a sales analyst or similar role.</li><li>
Proficiency in data analysis tools such as Excel, Power BI</li><li>
Strong understanding of CRM systems (e.g., Salesforce).</li><li>
.</li></ul><p></p><p><b>
Skills</b></p><ul><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Ability to work independently and collaboratively in a fast-paced environment</li></ul><p></p><p><b>
Leadership</b></p><ul><li>
You are energized by delivering fantastic results. You are an example to others &ndash; both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.</li><li>
As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.</li></ul><p></p><ul><li><b>
Critical SOL (Standards of Leadership) Behaviors</b><ul><li><b>
PASSION FOR HIGH PERFORMANCE: </b>Takes personal responsibility and accountability for execution and results. Has an owner&rsquo;s mindset, using data and insight to make decisions.</li><li><b>
PERSONAL MASTERY: </b>Sets high standards for themselves. Actively builds own wellbeing and resilience.</li><li><b>
CONSUMER LOVE</b>: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers.</li><li><b>
PURPOSE &amp; SERVICE</b>: Has humility, understanding that leadership is service to others, inside and outside Unilever.</li><li><b>
AGILITY</b>: Explores the world around them, continually learning and developing their skills.</li></ul></li></ul><p></p><p>
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</p><p></p><p>
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their &lsquo;Whole Self&rsquo; to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.</p></div>

B&W Hair CSP Specialist

SALLA

<div><p>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.</p><p></p><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li><b>S</b>trong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul><p><b>Benefits</b></p><ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Senior Data Scientist

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 <strong>
  Our Purpose -
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 <br/>
 <br/>
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 <strong>
  THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
  <br/>
  <br/>
  Location: Bangkok, Thailand (*Not open for remote work)
  <br/>
  <br/>
 </strong>
 <strong>
  Get to Know our Team:
  <br/>
  <br/>
 </strong>
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 <br/>
 <br/>
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 As a BI Developer, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 <br/>
 <br/>
 <strong>
  In this Role, you&rsquo;ll get to
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
  </li>
  <li>
   Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
  </li>
  <li>
   Proactively identify opportunities for growth within supply and the wider business.
  </li>
  <li>
   Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
  </li>
  <li>
   Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
  </li>
  <li>
   Automate manual operational processes and present back on time savings gained through modernization of business operations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you&rsquo;ll Need to Succeed
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
  </li>
  <li>
   Advanced working knowledge and hands-on experience in SQL
  </li>
  <li>
   Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
  </li>
  <li>
   Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
  </li>
  <li>
   Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
  </li>
  <li>
   Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
  </li>
  <li>
   Experience in conducting A/B testing experimentation
  </li>
  <li>
   Strong experience in finding data insights and provide business recommendation to the business
  </li>
  <li>
   A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
  </li>
  <li>
   Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
  </li>
  <li>
   Data driven in both decision making and performance measurement.
  </li>
  <li>
   Extreme comfort in ambiguous, fast-paced environment.
  </li>
  <li>
   Ability to multi-task, prioritize and coordinate resources.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s Great if you Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
  </li>
  <li>
   Asian market experience.
  </li>
  <li>
   Travel industry / e-commerce / tech / consulting experience.
   <br/>
   <br/>
  </li>
 </ul>
 #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
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 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>


BI Developer (Supply Analytics, Bangkok-based, Relocation provided)

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Biological and Environmental Science and Engineering Division (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Thuwal, Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Nov 02, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>We are seeking a highly motivated and quantitatively skilled Research Specialist with a strong background in data science, statistics, and programming to support ongoing and new research projects in the Integrated Reef Fisheries Lab at KAUST.</p>
<p>
The <i>Integrated Reef Fisheries Lab </i>is dedicated to enhancing the sustainability of coral reef fisheries and aquatic food systems both in the Kingdom and around the world. Through collaborative, data-driven research, we integrate ecological, social, and economic data to develop innovative tools and strategies that support resilient fisheries and communities. Working closely with local stakeholders and global partners, our interdisciplinary team strives to create practical solutions that ensure the long-term health and productivity of reef ecosystems worldwide&mdash;especially in the face of climate change.</p>
<p>
The research specialist will work closely with Professor Jessica Zamborain Mason and her team to conduct data-driven analyses, manage large and complex databases, support research design, assist in manuscript preparation, and help maintain smooth lab operations.</p>
<p>
Are you passionate about using data science to tackle real-world environmental challenges? Be part of a team that turns data into solutions&mdash;protecting ecosystems and empowering communities worldwide.</p>
<p><b>
Expectations</b></p>
<p><b>
1. Data Management &amp; Analysis</b></p>
<ul>
<li>Develop, maintain, and optimize data pipelines for collecting, cleaning, harmonizing and transforming large and complex datasets including a range of environmental, ecological, social and economic variables.</li>
<li>Conduct statistical and geospatial analyses, data visualization, and mechanistic modeling as required by project goals.</li>
<li>Ensure data integrity, reproducibility, and documentation throughout the research lifecycle.</li>
<li>Collaborate with the PI to interpret and summarize analytical results.</li>
</ul>
<p><b>2. Research &amp; Writing Support</b></p>
<ul>
<li>Conduct literature reviews and synthesize findings relevant to ongoing research topics.</li>
<li>Assist in preparing manuscripts, reports, presentations, and grant proposals.</li>
<li>Contribute to writing methods sections and developing reproducible analysis scripts.</li>
</ul>
<p><b>3. Technical Infrastructure</b></p>
<ul>
<li>Manage code repositories and collaborative workflows using GitHub/GitLab.</li>
<li>Maintain documentation of code, workflows, and data sources.</li>
<li>Contribute to the development of automated pipelines and reproducible research frameworks.</li>
</ul>
<p><b>4. Lab Coordination &amp; Administration</b></p>
<ul>
<li>Support the PI in coordinating research activities, meetings, and lab schedules.</li>
<li>Assist with data sharing, compliance, and ethics documentation.</li>
<li>Help onboard and mentor new lab members in data practices and computational tools.</li>
</ul>
<p><b>About KAUST:</b></p>
<p>
KAUST is an international graduate-level, merit-based research university dedicated to advancing scientific and technological education and research, acting as a catalyst for innovation, economic development and social prosperity in the region and the world. Our research strives to enhance the welfare of society with a special focus on four areas of global significance &ndash; food, water, energy and health. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch faculty and staff from all over the world, with more than 80 nations represented on campus. In addition to an unparalleled research infrastructure, KAUST offers terrific opportunities to pursue innovation and economic development via startups. For further information about KAUST please visit:</p>
<p>
https://www.kaust.edu.sa</p>
<p>
https://www.kaust.edu.sa/en/live/community-life</p>
<p>
https://bese.kaust.edu.sa</p>
<p>
At KAUST, we attract people from all around the world who want to create impact beyond their own achievements. Irrespective of their national origins, the people of KAUST are &ldquo;people of the world&rdquo; who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness. Located on the beautiful Red Sea coast of Saudi Arabia, KAUST sets exceptional standards in residences, recreational facilities and boasts a truly multicultural community environment which can be enjoyed by all, along with ample opportunities and time to keep work and life in harmony. Expats are very well looked after, with packages including tax-free salary, relocation, accommodation and various additional incentives.</p>
<p><b>
Join us for an adventure!</b></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Environmental Science, or a related quantitative field.</li>
<li>Strong proficiency in R for data manipulation, analysis, and visualization.</li>
<li>Familiarity with Git and GitHub for version control and collaborative coding.</li>
<li>Excellent communication, writing, and organizational skills.</li>
<li>Proven ability to work with large and complex datasets.</li>
<li>Experience contributing to peer-reviewed publications.</li>
<li>Demonstrated ability to work independently and collaboratively in multidisciplinary research environments.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>To apply, please submit the following documents:</p>
<ul>
<li>CV</li>
<li>Cover letter outlining your research experience and motivation for this position (maximum of 2 pages)</li>
<li>Contact details for (at least) two references</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
</div><div><p>Apply Now</p></div></div></div></div></div></div></div></div></div></div>

Research Specialist in Data Science and Marine Socio-ecological Systems

Explore 143+ Data analyst in Jeddah Saudi Arabia this November. Find roles across top companies and apply now to boost your career.