You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.
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Reporting: Help prepare monthly reports and presentations on data trends and insights for leadership.
Documentation: Monitor reporting consistency and write clear guides, manuals, and technical documentation.
Currently pursuing or recently completed a Diploma or Degree in Information Technology, Computer Science, Data Science, or a related quantitative discipline.
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• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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Got a thing for growth and tech? Working with us at Valiantlytix means joining a lean software team building tools that help businesses make smarter decisions from their data.
As a Marketing Executive you'll build and scale our user acquisition, create messaging that connects with customers, and help grow product adoption across channels.
Event Optimization: Direct the BD team during live pop-ups, fairs, and events to implement high-converting, gamified retail tactics.
Data-Driven Iteration: Constantly run experiments on user acquisition costs (CAC) and customer lifetime value (LTV) to build frictionless paths to purchase.
Weaponize Data: Use internal AI community data to identify pipeline bottlenecks and validate new sales initiatives.
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Possess a solid understanding of business information and documents, including but not limited to financial reports, inventory records, and production schedules.
Leveraging BI tools to extract actionable insights from data. Ensure the accuracy and integrity of information within the ERP system, enabling informed decision-making at all levels.
Develop and implement system logic enhancements to support evolving business requirements.
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