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Bangkok, TH
Actively hiring, first seen by us 5 days agoLead complex analytical and BI projects that shape executive decisions
Build dashboards, reports and predictive insights for stakeholders
Design and maintain data pipelines and perform complex data transformations
Find root causes of data quality issues and propose scalable fixes
Set performance standards and lead training for the analytics team
Leading high-impact analytical and business intelligence projects that directly influence executive deci-sion-making and organizational strategy
deliver comprehensive analytics and business intelligence solutions (e.g., dashboards, reports, predictive insights)
often designing and implementing robust data pipelines
Troubleshot complex data quality issues, identifying root causes and proposing robust, scalable improvement suggestions.
Lead training initiatives and knowledge sharing sessions to elevate the analytical capabilities of YTH
Profile • At least a Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Sci-ence, Economics) or a closely related field. A Master's degree is a bonus. • At least 8 years of progressive experience in a similar quantitative, analytical role, demonstrating in-creasing responsibility and complexity of projects. • Advanced coursework or professional development in statistics, machine learning, business intelli-gence, or related analytical disciplines • Proven track record of leading high-impact analytical projects that have influenced strategic business decisions • Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets. • Proven ability to resolve data conflicts and discrepancies that impact multiple business units • Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights. • Advanced expertise in statistical modeling, predictive analytics, and machine learning applications for business problems Hard Skills: Advanced-to-Expert Level skills in fullstack Data Skills: with at least one skill to a world-class level. • SQL (Structured Query Language): Expert • Microsoft Excel: Expert • BI Tools (e.g., PowerBI, Metabase): Expert • Python or R (for data analysis): High to Expert • Data Cleaning and Preparation: Expert • Exploratory Data Analysis (EDA): Expert • Statistical Concepts: High • Marketing Analytics Tools (Google Analytics, Whatsapp, etc.): High • Version Control (e.g., Git/GitHub/GitLab): High • AI/ML Application (Analytical Focus): Medium to High
About the Unit Yara is the world's largest producer of ammonia, nitrates and NPKs, offering solutions for sustainable agriculture respecting the environment.
In the employer’s words · Read in context
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
Similar jobs usually come down between day 5 and day 43.
From 14,732 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Technical Implementation & Development - Act primarily as an individual contributor, delivering data analysis, requirements, and solutions (SQL, Python, Metabase, Power BI, etc.) while maintaining world-class technical standards and advancing analytics and business intelligence practices Stakeholder Management & Strategic Alignment
• At least a Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Sci-ence, Economics) or a closely related field. A Master's degree is a bonus. • At least 8 years of progressive experience in a similar quantitative, analytical role, demonstrating in-creasing responsibility and complexity of projects. • Advanced coursework or professional development in statistics, machine learning, business intelli-gence, or related analytical disciplines • Proven track record of leading high-impact analytical projects that have influenced strategic business decisions • Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets. • Proven ability to resolve data conflicts and discrepancies that impact multiple business units • Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights. • Advanced expertise in statistical modeling, predictive analytics, and machine learning applications for business problems Hard Skills: Advanced-to-Expert Level skills in fullstack Data Skills: with at least one skill to a world-class level. • SQL (Structured Query Language): Expert • Microsoft Excel: Expert • BI Tools (e.g., PowerBI, Metabase): Expert • Python or R (for data analysis): High to Expert • Data Cleaning and Preparation: Expert • Exploratory Data Analysis (EDA): Expert • Statistical Concepts: High • Marketing Analytics Tools (Google Analytics, Whatsapp, etc.): High • Version Control (e.g., Git/GitHub/GitLab): High • AI/ML Application (Analytical Focus): Medium to High Soft Skills: • Exceptional attention to detail and unwavering commitment to data accuracy and integrity. • Advanced problem-solving skills and ambiguity navigation skills • Ability to maintain analytical rigor under pressure • Cultural dexterity in handling multiple stakeholders and functions • Superior written and verbal communication skills, ability to tune up or down across a variety of audi-ence • Refined storytelling skills, able to craft compelling narratives to influence strategic decisions.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change.
About the Unit
Yara is the world's largest producer of ammonia, nitrates and NPKs, offering solutions for sustainable agriculture respecting the environment. Our fertilizers and our crop nutrition programs were designed to help the sector of food production and to meet the needs of a growing world population. Our products and solutions help industry reduce emissions, improve air quality and prioritize effective operations safely. Yara Africa & Asia (YAA) produces, sells, distributes and markets fertilizers and industrial products across Asia Pacific and Africa regions, with offices location and operational units in 20 countries. The region employs over 1800 employees and has a long history in the Asian Pacific and African markets, focusing on develop crop nutrition concepts that increase food production and create value to the growers, in particular smallholder farmers, whilst minimizing environmental impact of agricultural activities. YAA is currently undergoing a major transformation, aimed at shifting the existing business models, generating new revenue streams and ultimately delivering profit through new Farming Solutions related activities.
This position encompasses:
• Leading high-impact analytical and business intelligence projects that directly influence executive deci-sion-making and organizational strategy
• Serving as the subject matter expert in advanced analytics and business intelligence methodologies, driv-ing innovation in analytical and reporting approaches
• Establish best practices, analytical standards, and strict data accuracy protocols across analytics and BI delivery, acting as the primary liaison between data capabilities and business leadership to ensure com-mercial teams have highly reliable data for strategic initiatives.
Strategic Problem Definition & Analysis Leadership
Technical Implementation & Development
Stakeholder Management & Strategic Alignment
Technical Excellence & Data Infrastructure Leadership
Leadership and Advocacy
Stay current with industry trends and emerging technologies in BI and analytics to ensure YTH remains competitive
• At least a Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Sci-ence, Economics) or a closely related field. A Master's degree is a bonus.
• At least 8 years of progressive experience in a similar quantitative, analytical role, demonstrating in-creasing responsibility and complexity of projects.
• Advanced coursework or professional development in statistics, machine learning, business intelli-gence, or related analytical disciplines
• Proven track record of leading high-impact analytical projects that have influenced strategic business decisions
• Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets.
• Proven ability to resolve data conflicts and discrepancies that impact multiple business units
• Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights.
• Advanced expertise in statistical modeling, predictive analytics, and machine learning applications for business problems
Hard Skills:
Advanced-to-Expert Level skills in fullstack Data Skills: with at least one skill to a world-class level.
• SQL (Structured Query Language): Expert
• Microsoft Excel: Expert
• BI Tools (e.g., PowerBI, Metabase): Expert
• Python or R (for data analysis): High to Expert
• Data Cleaning and Preparation: Expert
• Exploratory Data Analysis (EDA): Expert
• Statistical Concepts: High
• Marketing Analytics Tools (Google Analytics, Whatsapp, etc.): High
• Version Control (e.g., Git/GitHub/GitLab): High
• AI/ML Application (Analytical Focus): Medium to High
Soft Skills:
• Exceptional attention to detail and unwavering commitment to data accuracy and integrity.
• Advanced problem-solving skills and ambiguity navigation skills
• Ability to maintain analytical rigor under pressure
• Cultural dexterity in handling multiple stakeholders and functions
• Superior written and verbal communication skills, ability to tune up or down across a variety of audi-ence
• Refined storytelling skills, able to craft compelling narratives to influence strategic decisions.
• Proficiency in Thai and English is required.
Knowledge grows through differences
Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity, Equity & Inclusion (DE&I) in our business strategy and has more than 400 employees worldwide involved in D&I ambassadors networks.
As part of our recruitment process, where permitted by local law, we may conduct reference and background checks. These checks will only be performed when deemed necessary for the nature of the job. Candidates will be informed by HR before any background checks are initiated.
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Bangkok, TH
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