data scientist

senior data scientist

financial analyst

data analyst

Mosanada Logistics Services

<div>
 
 
 Job purpose
 
 
 
 
 
 
 The role is responsible for collecting, analyzing, and interpreting operational and business data to support strategic decision-making, performance optimization, and process improvement across the Contract Logistics division. The role is responsible for transforming data into actionable insights, developing dashboards and reports, and ensuring data accuracy and availability for business analysis and system integration projects
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; Reporting
 
 </li>
 <li>
 Collect, clean, and analyze logistics and business data to identify trends, patterns, and improvement opportunities.
 </li>
 <li>
 Develop and maintain Power BI or Excel-based dashboards and reports for management review.
 </li>
 <li>
 Support the Business Development team with data-driven insights for proposals, customer performance reviews, and business cases.
 </li>
 <li>
 Prepare regular performance metrics (e.g., delivery accuracy, cost efficiency, productivity KPIs).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 System Integration &amp; Automation
 
 </li>
 <li>
 Work closely with the IT Solutions Manager to integrate data sources across systems (ERP, WMS, CRM, and operational tools).
 </li>
 <li>
 Support automation initiatives by developing analytical tools, templates, and data validation models.
 </li>
 <li>
 Collaborate with system vendors or internal IT teams to ensure data flow consistency and accuracy.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Data Governance &amp; Quality
 
 </li>
 <li>
 Validate data integrity and ensure compliance with company data management standards.
 </li>
 <li>
 Maintain data documentation, definitions, and control sheets to support data consistency across departments.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Collaboration &amp; Support
 
 </li>
 <li>
 Support IT in Business Development in preparing technical and financial analyses for tenders and client proposals.
 </li>
 <li>
 Provide analytical support for business reviews, budgeting, and forecasting processes.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field.
 </li>
 <li>
 2&ndash;4 years of experience in data analysis, business intelligence, or performance reporting (preferably in logistics, supply chain, or operations).
 </li>
 <li>
 Experience with Power BI, Excel (advanced), and data visualization tools.
 </li>
 <li>
 Knowledge of SQL or database querying is an advantage.
 </li>
 <li>
 Exposure to ERP or WMS systems preferred (SAP, Oracle, or equivalent).
 </li>
 </ul>
 
 
</div>

Data Analyst

AstraZeneca

<div>
 
 JOB TITLE
 
 
 
 
 Business Analytics Specialist &ndash; MEA
 
 
 
 
 About Astrazeneca
 
 
 
 AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world&rsquo;s most serious diseases. But we&rsquo;re more than one of the world&rsquo;s leading pharmaceutical companies.
 
 
 
 Role Summary
 
 
 
 The Business Analyst is an active member of the Commercial Operations, actively engaging with commercial teams across MEA.
 
 
 Responsible for quality and accuracy of the sales dashboards, continuously improve by innovating towards the business needs &amp; additional features, liaising with the respective vendors for the implementation of these. Focus on Data Governance and enforcing the key pillars of data quality, security, and accessibility for AstraZeneca&rsquo;s Data ensuring AZ&rsquo;s policies, best practices, and any ethical considerations are all factored. The Business Analyst will support the commercial operations team in finding relationships and analysing trends external data points (e.g. competitor and macro-economic data)
 
 
 Included in the role is active work with Practical Problem Solving, critical thinking and Continuous Improvements in cross-functional teams, both as team member. The work is executed in a high-paced environment, with strong focus on cross-functional collaboration with other roles.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Generate and synthesize insights by overseeing multiple reports on market dynamics, healthcare, and the pharma industry across MEA, ensuring data is actionable and relevant to the organization&rsquo;s strategic goals.
 </li>
 <li>
 Develop, track, and share KPIs and best practices across functions to enhance overall business performance, ensuring alignment with strategic objectives.
 </li>
 <li>
 Proactively identify business opportunities by analysing market trends and changes in market dynamics, providing actionable insights to support growth initiatives.
 </li>
 <li>
 Enhance data quality and reliability by improving market research and data analysis functions, ensuring that analytics are insightful and actionable for strategic decision-making.
 </li>
 <li>
 Develop and implement business processes and surveys to assess strategy understanding and execution, maximizing productivity and profitability of internal resources.
 </li>
 <li>
 Work closely with insights manager to share data and results to wider organization in an easy to digest manner, and to enable storytelling with data. Identify micro and macro-economic factors to identify the primary indicators affecting market dynamics across MEA allowing the organization to plan for future changes more affectively.
 </li>
 <li>
 Development of New Dashboards and Tools
 </li>
 <ul>
 <li>
 Work with internal and external stake holders to lead creations of new Dashboards and tools to enable process simplification Cross-Functional Teams
 </li>
 <li>
 Ensuring any new dashboard or tool is creating in line with AstraZeneca&rsquo;s data policies and best practices, (e.g., reusability, scalability, easy for end users)
 
 </li>
 </ul>
 </ul>
 
 Essential For The Role
 
 
 
 <ul>
 <li>
 Strong Critical thinking with ability approach problems logically and make informed decisions.
 </li>
 <li>
 Experience data analytics and data exploration
 </li>
 <li>
 Experience with data clean up and preparation.
 </li>
 <li>
 Experience creating maintaining dashboards and reports
 </li>
 <li>
 Expert in MS Excel and Power point
 </li>
 <li>
 Experience with IQVIA data and platforms
 </li>
 <li>
 Seeks to build and maintain both internal and external relationships to support driving performance
 </li>
 <li>
 Self-driven and independent working
 </li>
 <li>
 Strongly driven by AZ global values and conduct
 </li>
 <li>
 Exceptional communication and interpersonal skills, including oral and written
 </li>
 <li>
 Demonstrated ability to perform in an environment that emphasizes teamwork
 </li>
 <li>
 Demonstrated capacity to effectively manage multiple and frequently changing priorities
 </li>
 <li>
 Demonstrated ability to meet strict deadlines
 
 
 </li>
 </ul>
 
 Desirable for the role
 
 
 
 <ul>
 <li>
 Excellent skills with Power BI, power query and data visualisation
 </li>
 <li>
 Knowledge of programming language and fundamentals of programming
 </li>
 <li>
 Experience with process automation
 </li>
 <li>
 Understanding of IQVIA data and their platforms, with knowledge on their market definitions and ATCs
 </li>
 <li>
 Experience in MEA countries
 
 
 </li>
 </ul>
 
 Why AstraZeneca?
 
 
 
 At AstraZeneca we&rsquo;re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There&rsquo;s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth, and development. We&rsquo;re on an exciting journey to pioneer the future of healthcare.
 
 
 
 So, what&rsquo;s next?
 
 
 
 <ul>
 <li>
 Are you already imagining yourself joining our team? Good, because we can&rsquo;t wait to hear from you.
 </li>
 <li>
 Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available, and we hope it&rsquo;s yours.
 
 
 </li>
 </ul>
 
 Where can I find out more?
 
 
 
 Our Social Media, Follow AstraZeneca on LinkedIn
 
 
 Follow AstraZeneca on Facebook
 
 
 Follow AstraZeneca on Instagram
 
 
 
 Date Posted
 
 
 
 20-نوفمبر-2025
 
 
 
 Closing Date
 
 
 
 29-نوفمبر-2025
 
 
 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
</div>

Business Analytics Specialist - MEA

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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 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.
 
 
 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.
 
 
 
 The Opportunity:
 
 
 
 As a Business 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.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <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
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <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.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <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.
 
 
 </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
 
 
 
 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>

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

<div>
 
 About Agoda
 
 
 
 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.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 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.
 
 
 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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 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.
 
 
 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.
 
 
 
 The Opportunity:
 
 
 
 As a Senior 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.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <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
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <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.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <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.
 
 
 </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
 
 
 
 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>

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

Saudi Air Navigation Services

<div>
 
 
 Role Purpose
 
 
 
 Lead the analysis of complex datasets to support R&amp;D initiatives and innovation. Design and implement predictive models for air traffic management operations. Transform data into actionable insights to enable evidence-based decision-making. Ensure compliance with regulatory and safety-critical constraints in concept development within the set KPIs, agreed budgets and adopted policies and procedures.
 
 
 
 
 
 
 
 
 
 KEY ACCOUNTABILITIES &amp; ACTIVITIES
 
 
 
 
 Key Accountability Areas Key Activities
 
 
 
 
 Data Analysis
 
 
 
 &bull; Collect, preprocess, and analyse large datasets to uncover trends, optimise ATM processes, and predict system behaviors.
 
 
 &bull; Use statistical techniques and machine learning models to derive actionable insights from structured and unstructured data.
 
 
 &bull; Design, develop, and implement predictive and prescriptive analytics models tailored for ATM operations.
 
 
 &bull; Gather, organize, and analyse industry research and trends to provide competitive intelligence that informs R&amp;D strategies.
 
 
 &bull; Build and maintain reusable data pipelines to facilitate seamless integration and processing of large-scale datasets.
 
 
 
 
 
 
 Concept Development
 
 
 
 &bull; Apply advanced analytics to test and validate Proof of Concept (PoC) initiatives, using data to refine and enhance R&amp;D prototypes.
 
 
 &bull; Develop innovative data solutions that support R&amp;D concepts progressing through different stages of the technology readiness levels (TRLs).
 
 
 &bull; Collaborate with the Knowledge &amp; Insights team to integrate industry research and trends into analytics models, ensuring alignment with future R&amp;D priorities.
 
 
 
 
 
 
 Data Driven Decision Making
 
 
 
 &bull; Monitor and improve data pipelines and analytics tools for real-time or near-real-time applications in air traffic management.
 
 
 &bull; Provide insights that optimize airspace usage, reduce delays, and improve safety outcomes for aviation operations.
 
 
 &bull; Collaborate with engineers, domain experts, and stakeholders to define problems and deliver innovative data solutions.
 
 
 &bull; Translate complex data findings into actionable insights that are understandable for technical and non-technical audiences alike, fostering data-driven decision-making.
 
 
 
 
 
 
 
 
 
 Data Governance and Compliance
 
 
 
 &bull; Ensure all data analysis activities comply with regulatory standards and ethical considerations, maintaining integrity and transparency.
 
 
 &bull; Incorporate safety-critical constraints into analytics models to meet aviation industry requirements and ensure operational feasibility.
 
 
 &bull; Regularly audit data models and processes to identify risks and ensure compliance with international and organizational standards.
 
 
 &bull; Support the secure management of sensitive and critical data, ensuring alignment with SANS&rsquo;s data governance policies..
 
 
 
 
 
 
 Policies, Processes and Procedures
 
 
 
 &bull; Conduct day-to-day activities while ensuring compliance to policies and procedures
 
 
 &bull; Contribute to the identification of opportunities for continuous improvement of systems, processes taking into
 
 
 account leading practices, changes in business environment, cost reduction and productivity improvement
 
</div>

Data Scientist

SALLA

<div>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.<h3 class="jobSectionHeader"> 
Responsibilities</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>Requirements<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>Strong 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>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Senior Data Scientist

Andela

<div>
 
 
 About Andela
 
 
 
 
 
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world.
 
 
 For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and education opportunities with leading technology providers.
 
 
 For companies, Andela provides access to a global network of fully integrated team members that unlock their business innovation and growth potential.
 
 
 At Andela, we are deeply passionate about creating long-lasting and transformative growth opportunities for all and doing it in an E.P.I.C. andela.com/careers way.
 
 
 
 
 
 We are excited to continue building our remote-first team with incredible people like you!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 Non-technical
 
 
 <ul>
 <li>
 Strong communication skills and ability to present findings to client stakeholders
 </li>
 <li>
 Experience in Financial Services, Banking &amp; card payments Industry is a plus
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements
 </li>
 <li>
 Document all steps in the development process
 </li>
 </ul>
 
 
 Technical
 
 
 <ul>
 <li>
 Advanced knowledge of statistical analysis and machine learning
 </li>
 <li>
 Highly Proficient in SAS programming language (SAS 9.4)
 </li>
 <li>
 Proficient in other Data Science programming languages (e.g. Python, R)
 </li>
 <li>
 Develop, test, implement, and maintain predictive models
 </li>
 <li>
 Segmentation, customer lifetime value
 </li>
 <li>
 Identify opportunities to innovatively use data/ extract insights from complex data sets
 </li>
 </ul>
 
 
 Cultural Fit
 
 
 <ul>
 <li>
 Owning the outcome (ownership)
 </li>
 <li>
 Being driven/passionate in analytics
 </li>
 <li>
 Problem solving mindset, challenging the status quo
 </li>
 <li>
 Self-organizing, independent and takes ownership of each task
 </li>
 <li>
 Meticulous to detail
 </li>
 <li>
 Thrive under pressure
 </li>
 </ul>
 
 
 KPIs
 
 
 <ul>
 <li>
 Time to deployment &amp; value identified/realized/recommended from different use cases.
 </li>
 <li>
 Model accuracy (e.g., RMSE, MAE for regression tasks)
 </li>
 <li>
 Number of business problems addressed
 </li>
 <li>
 Responsiveness to business questions/problems/requests
 </li>
 <li>
 Number of departments/business users supported/adopted the solution
 </li>
 <li>
 Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
 </li>
 <li>
 Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.
 </li>
 <li>
 Data Security Compliance: Compliance with data security protocols and regulations
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Advanced knowledge of statistical analysis and machine learning
 </li>
 <li>
 Highly Proficient in SAS programming language (SAS 9.4)
 </li>
 <li>
 Proficient in other Data Science programming languages (e.g. Python, R)
 </li>
 <li>
 Strong communication skills and ability to present findings to senior stakeholders (non-technical)
 </li>
 </ul>
 
 
 
 
 
 Contract:
 
 
 <ul>
 <li>
 12 months, possibility of renewal
 </li>
 <li>
 Full-time contractor role
 </li>
 <li>
 This is an
 
 on-site role
 
 and requires in-person availability in
 
 Jeddah, Saudi Arabia.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 And more to come! We're on a journey to reimagine global benefits at Andela
 
 
 At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds &amp; orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination as stated above.
 
 
 
 
 
 
 Andela is home for all, come as you are.
 
 
</div>

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