Company Description
Applus IDIADA is a young and dynamic organization that values participation, collaboration and long-term relationships. We continuously generate professional development opportunities and growth alternatives for motivated and engaged professionals.
Job Description
Mission:
The Data & AI Strategy Analyst plays a key role in enhancing sales performance and commercial decision-making through data, analytics, automation, and Artificial Intelligence. Working closely with Sales, Business Units, Digital teams, and Technical Teams the role identifies opportunities to optimize sales processes, improve forecasting, strengthen customer insights, and automate reporting. By translating business needs into scalable data and AI-driven solutions, the position supports the organization's digital transformation while delivering measurable improvements in sales effectiveness, productivity, and business growth.
Data & AI Strategy Development
Support the definition, evolution, and execution of the organitzation Data & AI Strategy.
Identify strategic opportunities where data, analytics, machine learning, automation, or Generative AI can improve operational sales efficiency, customer experience, revenue growth, or decision-making.
Conduct industry benchmarking and monitor market trends, technologies, competitors, and emerging use cases.
Support leadership in assessing investment priorities and strategic initiatives related to AI and data transformation.
AI Opportunity Identification & Use Case Management
Partner with business leaders to understand challenges and identify opportunities for applying AI and advanced analytics.
Facilitate workshops to collect, assess, and prioritize business needs.
Create structured use case portfolios and opportunity pipelines.
Evaluate potential initiatives based on business impact, implementation effort, technical feasibility, cost, risks, and expected return on investment.
Support the development of proofs of concept (PoCs), pilot projects, and scaling initiatives.
Track use case performance and business outcomes after deployment.
Stakeholder Engagement & Change Management
Act as a liaison between sales functions, data teams, IT departments, and external vendors..
Support organizational change initiatives related to data and AI adoption.
Prepare communication materials, presentations, and executive updates.
Deliver workshops, awareness sessions, and capability-building activities.
Promote a culture of innovation, experimentation, and data-driven decision-making.
Qualifications
Education
Required:
Bachelor's degree in Business Administration, Engineering, Economics, Mathematics, Data Science, Computer Science, Statistics, or a related field.
Preferred:
Master's degree in Business Analytics, Data Science, Artificial Intelligence, Digital Transformation, Strategy.
Experience
3-5 years of experience in one or more of the following areas:
Strategic consulting
Business analysis
Data analytics
Digital transformation
Innovation management
Business intelligence
AI implementation programs
Experience working in cross-functional and international environments.
Experience developing business cases and strategic recommendations.
Exposure to AI, machine learning, predictive analytics, or automation initiatives.
Experience managing stakeholders across different business functions.
Knowledge of:
Generative AI
Large Language Models (LLMs)
Machine Learning fundamentals
Automation and RPA concepts
AI copilots and productivity solutions
Cloud-based AI ecosystems
Languages:
Fluent English (written and spoken)
Additional languages are a plus
Required Soft Skills:
Strong analytical thinking and innovative mindset
Detail-oriented with high accuracy
Goal-oriented
Communication skills
Problem-solving abilities
Adaptability and willingness to learn
Additional Information
Why join us?
Enjoy a highly flexible hybrid work model in a company that takes care of the employees’ wellbeing, offering work-life balance benefits such as subsidized canteen, free language courses, transport and coaching services.
Join a company that has a deep commitment to sustainability and push yourself to reach your full potential in a dynamic and challenging setting that values innovation and expertise.
Come & join us on the road to success.
#LI-Hybrid
Applus IDIADA is committed to equality, diversity and inclusion. We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.
Summary
Supports sales performance through data, analytics, automation and AI: identifying use cases, building portfolios, evaluating initiatives, supporting pilots, engaging stakeholders and driving adoption. Requires a bachelor's degree, 3-5 years in analytics, consulting, digital transformation or AI implementation, fluent English, and knowledge of generative AI, LLMs and machine learning.
Responsibilities
Support Data & AI strategy; identify AI and analytics opportunities; benchmark industry trends; partner with business leaders; facilitate workshops; build use case portfolios; evaluate initiatives; support PoCs and pilots; track outcomes; liaise across sales, data, IT, and vendors; support change management; prepare presentations and executive updates
Qualifications
Bachelor's degree in Business Administration, Engineering, Economics, Mathematics, Data Science, Computer Science, Statistics, or related field; 3-5 years in strategic consulting, business analysis, data analytics, digital transformation, innovation management, business intelligence, or AI implementation; cross-functional and international experience; business cases and strategic recommendations; stakeholder management; exposure to AI, machine learning, predictive analytics, or automation; fluent English written and spoken
Education requirements
Bachelor's degree required; Master's degree preferred
Experience requirements
3-5 years of experience in strategic consulting, business analysis, data analytics, digital transformation, innovation management, business intelligence, or AI implementation programs; cross-functional and international experience; business cases and strategic recommendations; stakeholder management; exposure to AI, machine learning, predictive analytics, or automation
Benefits
Subsidized canteen; free language courses; transport and coaching services