business analyst

data analyst

senior business analyst

associate data analyst

bi analyst (supply analytics, bangkok-based, relocation provided) Jobs in Riyadh

bi analyst (supply analytics, bangkok-based, relocation provided)

bi analyst supply analytics bangkok based relocation provided

Agoda

<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 BI 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>

BI 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.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 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 Data Scientist (Bangkok based, relocation provided)

Emdad By Elm

<div>
 
 
 Job Description:
 
 
 
 The Power BI Administrator is responsible for the comprehensive administration and enterprise-level management of the Power BI platform within the organization. This senior role requires a strategic individual to oversee platform administration and configuration, ensuring optimal settings within the Power BI Admin Portal. The incumbent will manage premium capacities, integrate Power BI with existing enterprise systems, and uphold governance and compliance standards pertinent to data analytics. A vital part of this position involves user access and workspace management, which includes creating and nurturing workspaces alongside implementing robust security measures such as role-based access control and row-level security. The Power BI Administrator will also focus on governance and compliance by enforcing data policies and maintaining a data catalog, collaborating with cross-functional teams to align with established compliance frameworks. Additionally, the role entails monitoring and troubleshooting Power BI service performance, managing data gateways, and supporting the report lifecycle with best practices in automation and documentation. As a central point of contact, the Power BI Administrator will foster collaboration, provide training, and promote a data-driven culture across the organization, ensuring continuous improvement and effective use of Power BI.
 
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Minimum of 7 years of experience in a data analytics or business intelligence environment, with at least 3 years dedicated to Power BI platform administration or related roles.
 </li>
 <li>
 Proven experience in configuring and managing Power BI service settings, including capacity management and user access roles.
 </li>
 <li>
 Demonstrated ability to enforce data governance policies and maintain compliance with regulatory standards such as GDPR and ISO 27001.
 </li>
 <li>
 Strong knowledge of data security practices and proficiency in implementing Multi-Factor Authentication (MFA) and role-based access control (RBAC).
 </li>
 <li>
 Extensive experience with PowerShell and REST APIs to automate administrative tasks and enhance operational efficiency.
 </li>
 <li>
 Proficiency in DAX, data modeling, SQL, and a solid understanding of integrating Power BI with Microsoft 365 and Azure AD.
 </li>
 <li>
 Previous experience overseeing data source and gateway administration with a focus on ensuring secure connectivity and optimizing performance.
 </li>
 <li>
 Strong analytical skills for monitoring service health, troubleshooting issues, and enhancing report performance.
 </li>
 <li>
 Ability to engage and collaborate effectively with stakeholders, including data engineers, analysts, developers, and business users.
 </li>
 <li>
 Excellent communication and presentation skills for conducting training sessions and workshops on Power BI best practices.
 </li>
 <li>
 Mastery of documentation skills to maintain up-to-date records for configurations, policies, and standard operating procedures (SOPs).
 </li>
 <li>
 A bachelor&rsquo;s degree in information systems, Data Analysis, or a related field.
 </li>
 <li>
 Microsoft Certified: Data Analyst Associate or Power Platform certification is a plus.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Administer and manage the Power BI service settings through the Power BI Admin Portal, optimizing tenant settings, capacity workspaces, and usage metrics.
 </li>
 <li>
 Implement and maintain governance and compliance policies across Power BI environments, ensuring adherence to data privacy and security standards.
 </li>
 <li>
 Create and manage Power BI workspaces, assigning appropriate access roles and ensuring alignment with role-based access control measures.
 </li>
 <li>
 Conduct regular reviews and audits of user activity logs to ensure secure and compliant access across Power BI platforms.
 </li>
 <li>
 Onboard new users while providing comprehensive training and documentation on Power BI usage and best practices.
 </li>
 <li>
 Monitor and analyze Power BI service health, responding to incidents, outages, and performance-related issues in a timely manner.
 </li>
 <li>
 Develop and implement automation processes utilizing PowerShell and REST APIs for user management, dataset refreshes, and license assignments.
 </li>
 <li>
 Collaborate with infrastructure teams to configure and maintain on-premises data gateways, ensuring secure and high-availability data connectivity.
 </li>
 <li>
 Support the report lifecycle management process, including testing, publishing, and version control, while implementing deployment pipelines for automation.
 </li>
 <li>
 Track and manage Power BI license usage, optimizing consumption in alignment with business needs and assisting procurement with forecasting.
 </li>
 <li>
 Serve as the central point of contact for all Power BI inquiries, working closely with cross-functional teams to support reporting needs.
 </li>
 <li>
 Document all configurations, policies, and user guides, enforcing standards for report development and dataset design.
 </li>
 <li>
 Promote a culture of data-driven decision-making through the standardization of Power BI best practices and continuous training initiatives.
 </li>
 </ul>
 
 
</div>

Power BI Administrator

Qiam real estate

Data Analyst &ndash; Full-time | Riyadh, Saudi ArabiaThe Data Analyst will be responsible for collecting, processing, and analyzing large data sets to provide actionable insights that drive business decisions. This role involves collaborating with cross-functional teams to understand data needs, create analytical reports, and support organizational strategy through data-driven insights.Key Responsibilities:<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using visualization tools (e.g., Power BI, Tableau).</li><li>Work closely with business stakeholders to translate data findings into strategic recommendations.</li><li>Support business decisions through statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvement initiatives.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document analytical methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance tracking metrics to enhance operational efficiency.</li><li>Ensure compliance with company data policies and data privacy regulations.</li></ul>Skills &amp; Competencies:<ul><li>Strong proficiency in SQL and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker.</li><li>Proficiency in Python or R for data analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Analytical thinking with excellent problem-solving and communication skills.</li><li>Familiarity with cloud data platforms (Azure, AWS, or Google Cloud) is a plus.</li><li>Solid knowledge of statistics and experience applying statistical techniques in business contexts.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.</li><li>Minimum of 5 years of professional experience as a Data Analyst or in a similar role.</li><li>Proven experience handling complex datasets and delivering analytical insights that support decision-making.</li></ul>Preferred:<ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics concepts.</li><li>Certification in Power BI, Tableau, or Azure Data Analyst is an advantage.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1633;&#1637;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

محلل بيانات | Data Analyst

MASTER-WORKS

<div>We are looking for a Fresh graduate Business Analyst to analyze business requirements and translate them into data-driven solutions that align with project objectives. The role is responsible for gathering, documenting, and evaluating information to improve business processes, support decision-making, and ensure alignment between client needs and technical deliverables.
Responsibilities:<ul><li>Gather and analyze business requirements from stakeholders.</li></ul><ul><li>Document business processes, workflows, and data requirements.</li></ul><ul><li>Translate business needs into clear and actionable technical specifications.</li></ul><ul><li>Collaborate with product managers, data engineers, and developers to ensure solution accuracy.</li></ul><ul><li>Prepare detailed reports, dashboards, and presentations to communicate insights.</li></ul><ul><li>Support testing and validation of deliverables to ensure they meet business expectations.</li></ul><ul><li>Participate in client and internal meetings and provide clear follow-ups.</li></ul>
Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Information Technology, or a related field.</li></ul><ul><li>Good understanding of data analysis, reporting, and visualization tools (e.g., Excel, Power BI, SQL).</li></ul><ul><li>Strong analytical, communication, and documentation skills.</li></ul><ul><li>Ability to bridge the gap between business and technical teams.</li></ul>
Preferred Skills:<ul><li>Knowledge of Agile and Scrum methodologies.</li></ul><ul><li>Exposure to data analytics or business intelligence (BI) projects.</li></ul><ul><li>Certification or coursework in Business Analysis (e.g., ECBA, CBAP, Agile BA) is a plus.</li></ul><ul><li>Saudi nationality</li></ul></div>

Business Analyst

Master Works

<div>
 We are looking for a Fresh graduate Business Analyst to analyze business requirements and translate them into data-driven solutions that align with project objectives. The role is responsible for gathering, documenting, and evaluating information to improve business processes, support decision-making, and ensure alignment between client needs and technical deliverables.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Gather and analyze business requirements from stakeholders
 </li>
 <li>
 Document business processes, workflows, and data requirements
 </li>
 <li>
 Translate business needs into clear and actionable technical specifications
 </li>
 <li>
 Collaborate with product managers, data engineers, and developers to ensure solution accuracy
 </li>
 <li>
 Prepare detailed reports, dashboards, and presentations to communicate insights
 </li>
 <li>
 Support testing and validation of deliverables to ensure they meet business expectations
 </li>
 <li>
 Participate in client and internal meetings and provide clear follow-ups
 
 
 </li>
 </ul>
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field
 </li>
 <li>
 Good understanding of data analysis, reporting, and visualization tools (e.g., Excel, Power BI, SQL)
 </li>
 <li>
 Strong analytical, communication, and documentation skills
 </li>
 <li>
 Ability to bridge the gap between business and technical teams
 
 
 </li>
 </ul>
 Preferred Skills:
 
 
 <ul>
 <li>
 Knowledge of Agile and Scrum methodologies
 </li>
 <li>
 Exposure to data analytics or business intelligence (BI) projects
 </li>
 <li>
 Certification or coursework in Business Analysis (e.g., ECBA, CBAP, Agile BA) is a plus
 </li>
 <li>
 Saudi nationality
 </li>
 </ul>
</div>

Sscegypt

Key Responsibilities <ul> <li>Develop and implement category strategies to drive growth and profitability.</li> <li>Analyze sales data, customer trends, and market insights to optimize product assortment.</li> <li>Ensure product availability, pricing competitiveness, and stock management.</li> <li>Plan and execute promotions, discounts, and campaigns to boost sales.</li> <li>Track category sales performance and key KPIs (conversion rate, AOV, traffic, etc.).</li> <li>Use data analytics tools to evaluate customer behavior and optimize category performance.</li> <li>Identify growth opportunities and make data-driven recommendations.</li> <li>Ensure product listings are well-structured with accurate descriptions, images, and attributes.</li> <li>Collaborate with the merchandising team to align eCommerce promotions with retail goals.</li> <li>Work closely with marketing teams to develop category-specific campaigns.</li> <li>Coordinate with supply chain and logistics teams to ensure stock availability.</li> <li>Partner with digital marketing to optimize performance-based advertising (Google, Meta, etc.).</li> </ul> Qualifications <ul> <li>+3 Years in Electronics Ecommerce business</li> <li>Proven experience in Electronics, Home appliances, TVs or Mobiles.</li> <li>Proven experience as an Ecommerce Category Manager or in a similar role within eCommerce/retail.</li> <li>Strong analytical skills with hands-on expertise in Google Analytics (GA4 preferred), Microsoft Excel (advanced level), and Power BI for reporting and visualization.</li> <li>Ability to translate data into actionable insights and strategic recommendations.</li> <li>Strong commercial acumen with understanding of online sales metrics and drivers.</li> <li>Experience in assortment planning, pricing strategy, and campaign execution.</li> <li>Strong communication and cross-functional collaboration skills.</li> <li>Role based in KSA. The categories we are looking for is Electronics, Home appliances, TVs or Mobiles.</li> </ul>

Ecommerce Category Manager

Explore 1260+ Bi analyst supply analytics bangkok based relocation provided in Riyadh this November. Find roles across top companies and apply now to boost your career.

1260 bi analyst supply analytics bangkok based relocation provided jobs IN Riyadh

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

Senior Data Scientist (Bangkok based, relocation provided)

Power BI Administrator

محلل بيانات | Data Analyst

Business Analyst

Business Analyst

Ecommerce Category Manager