business analyst (supply analytics, bangkok-based, relocation provided) Jobs in Qatar

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

research associate -ai-data science & forecast specialist Jobs in Qatar

research associate -ai-data science & forecast specialist

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

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

arabic speaker - it business analyst Jobs in Qatar

arabic speaker - it business analyst

assistant auditor

bi analyst

Swan Global WLL

Requirements:<ul><li>Minimum 4 years of experience in related field.</li><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Finance, or related field</li><li>Strong command of Excel for financial analysis and reconciliation</li><li>Basic understanding of ETL pipelines and data transformations</li><li>Understanding of payments, remittance, FX, cards, or digital banking workflows</li><li>Familiarity with financial KPIs:</li><li>Ability to reconcile transaction-level data across systems</li><li>Translate business and regulatory requirements into accurate, actionable dashboards</li></ul>Job Type: PermanentPay: From QAR10,000.00 per monthApplication Question(s):<ul><li>Are you under freelance visa or company visa?</li></ul>

BI Analyst

Envision Employment Solutions

Envision Employment Solutions is currently looking for a BI Expert (Tableau) for one of our partners, a global leader in the IT Services and IT Consulting.
 
Job Summary: 
The Business Intelligence (BI) Engineer is responsible for designing, developing, and maintaining BI solutions that enable data-driven decision-making across the organization. This role involves building and optimizing data models, dashboards, and reporting tools while ensuring accuracy, scalability, and performance of BI systems. The BI Engineer will work closely with stakeholders to translate business requirements into technical solutions and provide actionable insights.
 
Responsibilities: 
<ul>
<li>Design, develop, and maintain BI dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or Qlik.</li>
<li>Design, develop, and maintain semantic model using tools such as Power BI, Tableau, SSAS</li>
<li>Collaborate with business stakeholders to gather requirements and translate the BI solutions.</li>
<li>Conduct data analysis to identify trends, anomalies, and opportunities for business improvement.</li>
<li>Ensure data integrity, quality, and accuracy across BI systems.</li>
<li>Monitor BI solutions for performance and implement improvements where necessary.</li>
<li>Stay updated with industry best practices and new BI technologies.</li>
</ul>
Requirements: 
<ul>
<li>Bachelors degree in CS, IS, or related field.</li>
<li>Proven experience 5+ years as a BI Engineer, or similar role.</li>
<li>Proficiency in BI tools (Power BI, Tableau, Qlik, SSAS).</li>
<li>Proficiency in design tools (Figma) and dashboard storytelling.</li>
<li>Strong SQL skills and experience with relational and non-relational databases.</li>
<li>Familiarity with ETL processes and data integration tools.</li>
<li>Solid understanding of data warehousing concepts, OLAP, and dimensional modeling.</li>
<li>Familiarity with cloud platforms (Azure, AWS, GCP) is a plus.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Excellent communication and collaboration abilities.</li>
<li>Must be an Arabic speaker.</li>
<li>Tableau Expert is a must</li>
<li>Preferred Skills</li>
<li>Knowledge of Python, R, or other scripting languages for data analysis.</li>
<li>Previous experience in Banking sector or Telecom</li>
</ul>

BI Expert (Tableau)

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 an 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>

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

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 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)

Freshqa Trading

Job Summary:We are seeking a skilled Data Analyst to collect, analyze, and interpret business data to support decision-making in our food production, sales, supply chain, and quality operations. The ideal candidate will transform raw data into meaningful insights to improve efficiency, reduce waste, increase profitability, and support business growth.Key Responsibilities<ul><li>Collect, clean, and analyze data related to sales, production, inventory, supply chain, and quality control</li><li>Prepare daily, weekly, and monthly performance reports and dashboards</li><li>Monitor KPIs such as sales trends, wastage, cost efficiency, production yield, and stock turnover</li><li>Identify trends, patterns, and opportunities to improve operational efficiency and profitability</li><li>Support forecasting and demand planning using historical data</li><li>Work closely with Operations, Finance, Production, Warehouse, and Sales teams</li><li>Automate reports using tools such as Excel, Power BI, SQL, or Python</li><li>Ensure data accuracy, integrity, and consistency across systems</li><li>Provide insights and recommendations to management for strategic decision-making</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, IT, Business, or related field</li><li>2&ndash;5 years of experience in data analysis (FMCG or food industry preferred)</li><li>Strong skills in Excel, Power BI, SQL (Python is a plus)</li><li>Experience with ERP systems, POS data, and inventory management systems</li><li>Strong analytical, problem-solving, and reporting skills</li><li>Ability to present insights clearly to non-technical stakeholders</li><li>High attention to detail and data accuracy</li><li>Preferred Experience (Food Industry Advantage)</li><li>Knowledge of food production metrics, shelf-life tracking, wastage analysis, and demand forecasting</li><li>Experience analyzing retail sales, supermarket supply data, and product performance</li><li>Understanding of cost control, margin analysis, and stock optimization</li><li>Reduction in wastage and operational inefficiencies</li><li>Improvement in sales forecasting accuracy</li><li>Data-driven decision impact on profitability</li></ul>Job Types: Full-time, PermanentPay: QAR6,000.00 - QAR10,000.00 per month

Data Specialist- FMCG

COZMALABS

We are looking for a results-driven Senior Business Analyst to lead complex requirement analysis, drive process optimization, and translate strategic objectives into scalable business and technology solutions. This role partners closely with senior stakeholders to deliver measurable business value across cross-functional initiatives.Key Responsibilities<ul><li>Lead collaboration with executive and operational stakeholders to elicit, validate, and prioritize complex business requirements.</li><li>Analyze end-to-end business processes to identify optimization opportunities, automation initiatives, and measurable value creation.</li><li>Translate strategic business objectives into detailed functional and technical specifications for development and delivery teams.</li><li>Own and govern core documentation, including business requirements documents (BRDs), functional specifications, use cases, and process/workflow models.</li><li>Conduct market, industry, and competitor analysis to inform solution design and strategic decision-making.</li><li>Partner with project managers to support project planning, estimation, risk management, and delivery tracking.</li><li>Guide and support testing, user acceptance, implementation, and change management activities.</li><li>Monitor post-implementation performance and benefits realization, ensuring solutions align with business goals and KPIs.</li><li>Present insights, recommendations, and data-driven narratives to senior leadership and cross-functional teams.</li><li>Mentor junior business analysts and contribute to the continuous improvement of BA practices and standards.</li></ul>Requirements &ndash; Education &amp; Experience<ul><li>Bachelor&rsquo;s degree in Business Administration, Information Systems, Finance, or a related discipline (Master&rsquo;s degree preferred).</li><li>5&ndash;10+ years of progressive experience as a Business Analyst or in a comparable role.</li><li>Proven experience leading large-scale, cross-functional initiatives.</li><li>Strong background in data analysis, business intelligence, process modeling, and enterprise systems.</li></ul>Skills &amp; Competencies<ul><li>Advanced analytical, critical-thinking, and problem-solving capabilities.</li><li>Strong proficiency with tools such as Excel, SQL, Tableau, Power BI, or equivalent analytics platforms.</li><li>Deep understanding of Agile, Waterfall, and hybrid delivery methodologies.</li><li>Excellent stakeholder management, facilitation, and negotiation skills.</li><li>Exceptional written and verbal communication, with the ability to influence senior leadership.</li><li>Ability to manage multiple priorities, drive outcomes independently, and operate effectively in fast-paced environments.</li></ul>Job Type: Full-time

Senior BA

Shift Group

<div>
 
 
 Role Overview:
 
 The Data Analyst will be at the forefront of data strategy and monetization, responsible for turning data into growth insights that drive business decisions, optimize performance, and unlock new revenue streams.
 
 
 This role blends analytical depth, business intelligence, data engineering, and strategic thinking, ideal for professionals passionate about using data to fuel digital growth and audience value.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Analytics &amp; Insights
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from multiple digital sources (web, app, CRM, marketing, and sales systems).
 </li>
 <li>
 Build automated dashboards and reports using tools like Power BI, Tableau, or Google Data Studio to track platform KPIs.
 </li>
 <li>
 Identify user trends, engagement drivers, and conversion patterns across verticals (classifieds, content, properties, jobs, cars, etc.).
 </li>
 <li>
 Generate actionable insights that support leadership decision-making and operational efficiency.
 </li>
 <li>
 Analyze marketing funnel performance and user acquisition metrics to identify growth opportunities.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; ETL
 
 
 <ul>
 <li>
 Design, build, and maintain robust and scalable ETL pipelines to ingest and process data from a wide variety of sources, including web, app, CRM, marketing, analytics logs, and sales systems.
 </li>
 <li>
 Utilize both off-the-shelf and custom solutions (e.g., Azure Data Factory, custom Python scripts) to collect, transform, clean, and load data into our data warehouse, ensuring data quality, integrity, and accessibility.
 </li>
 <li>
 Develop a consolidated data architecture to support unified reporting, business intelligence, and advanced analytics.
 </li>
 </ul>
 
 
 
 
 
 Machine Learning &amp; Predictive Modeling
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and predictive models to understand customer behavior, predict churn, and identify growth opportunities.
 </li>
 <li>
 Apply statistical analysis and modeling techniques to build frameworks for measuring user lifetime value, optimizing pricing strategies, and forecasting revenue.
 </li>
 <li>
 Implement A/B testing frameworks and conduct experiments to measure the performance of new features, marketing campaigns, and product changes.
 </li>
 </ul>
 
 
 
 
 
 Customer Data Platform (CDP) &amp; Analytics
 
 
 <ul>
 <li>
 Lead the development and implementation of a Customer Data Platform (CDP) to create a single, unified view of the customer journey.
 </li>
 <li>
 Integrate the CDP with our marketing and sales platforms to enable advanced audience segmentation, personalization, and targeted advertising.
 </li>
 <li>
 Attach machine learning models to the CDP to analyze customer behavior patterns, predict future actions, and deliver actionable insights to the business.
 </li>
 </ul>
 
 
 
 
 
 Monetization &amp; Growth
 
 
 <ul>
 <li>
 Develop data-driven monetization strategies, such as audience segmentation, advertising optimization, and data-based product offerings.
 </li>
 <li>
 Partner with Sales and Marketing teams to enhance campaign targeting, ad performance (CTR, CPC, CPM, ROAS), and audience segmentation, and cross-channel attribution
 </li>
 <li>
 Support pricing strategy and revenue forecasting through predictive analytics and business modeling.
 </li>
 <li>
 Build frameworks to measure subscription and user lifetime value.
 </li>
 </ul>
 
 
 
 
 
 Data Infrastructure &amp; Governance
 
 
 <ul>
 <li>
 Collaborate with Technology teams to ensure accuracy, integrity, and consistency of data across all systems.
 </li>
 <li>
 Establish and maintain clear KPIs, data definitions, and governance standards.
 </li>
 <li>
 Ensure compliance with ethical and legal standards for data usage.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work with Marketing, Product, and Commercial teams to drive experiments (A/B tests) and measure performance outcomes.
 </li>
 <li>
 Present findings in a visually engaging and business-focused manner for executives and stakeholders.
 </li>
 <li>
 Translate analytical insights into actionable business recommendations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Economics, or related field.
 </li>
 <li>
 
 Experience:
 
 5&ndash;8 years of experience in data analytics, business intelligence, data engineering, or growth analytics within a digital, e-commerce, or media technology company.
 </li>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Strong knowledge of SQL, Python (pandas, numpy, matplotlib, scikit-learn), and BI tools such as Power BI, Tableau, or Google Data Studio.
 </li>
 <li>
 Experience with ETL/ELT tools (e.g., Azure Data Factory, Apache Airflow, or similar).
 </li>
 <li>
 Proficiency in machine learning and predictive modeling techniques for forecasting, customer behavior analysis, and LTV modeling.
 </li>
 <li>
 Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Azure Synapse).
 </li>
 <li>
 Knowledge of Customer Data Platforms (CDP) and customer journey analytics.
 </li>
 <li>
 Experience with Google Analytics 4, BigQuery, or Looker is a plus.
 </li>
 <li>
 
 Business Skills:
 
 Proven track record in using data to enhance business performance, customer acquisition, retention, and monetization.
 </li>
 <li>
 
 Soft Skills:
 
 Strong communication, data storytelling, and cross-functional collaboration. Ability to translate complex data into simple insights.
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience in audience segmentation, ad performance analytics, or subscription data modeling.
 </li>
 <li>
 Background in digital media, advertising, or marketplace platforms.
 </li>
 <li>
 Familiarity with data monetization models and creation of data-based products or reports.
 </li>
 <li>
 Hands-on experience implementing CDP solutions (e.g., Segment, mParticle, Adobe CDP, or similar platforms).
 </li>
 <li>
 Experience with cloud platforms (Azure, or GCP) for data infrastructure.
 </li>
 <li>
 Knowledge of A/B testing methodologies and experimentation platforms.
 </li>
 </ul>
</div>

Data Analyst – Business Intelligence

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