AI-Driven Sales Ops & Strategy Analyst (Hybrid)

Applus+ IDIADA; Tarragona; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Hybrid work model

Canteen subsidy

Free language courses

Transport assistance

Coaching services

Job summary

Applus IDIADA seeks a Data & AI Strategy Analyst to enhance sales performance through data-driven insights, automation, and AI strategies. You will work with Sales, Business Units, Digital, and IT teams to translate business needs into scalable data solutions and measurable improvements in revenue and efficiency.

The role requires 3–5 years in data analytics, transformation, or AI projects, with strong communication and change-management skills.

Qualifications

• Bachelor's degree in Business Administration, Engineering, Economics, Mathematics, Data Science, Computer Science, Statistics, or related field.
• Master's degree in Business Analytics, Data Science, AI, Digital Transformation, Strategy preferred.

Responsibilities

• Define and evolve the Data & AI strategy in collaboration with Sales, Business Units, and Digital teams.
• Identify opportunities where data, analytics, ML, automation, or Generative AI can improve sales efficiency and decision-making.
• Lead use-case portfolios, evaluate ROI, and drive PoCs, pilots, and scaling initiatives.
• Engage with stakeholders, prepare executive updates, and promote data-driven decision-making.
• Support change management and training to enable AI adoption across the organization.

Skills

Data analysis

Stakeholder mgmt

Strategic thinking

AI fundamentals

Communication

Education

Bachelors in related field

Masters in Analytics

Tools

Python

SQL

Power BI

Cloud platforms

Job description

Applus IDIADA seeks a Data & AI Strategy Analyst to enhance sales performance through data-driven insights, automation, and AI strategies. You will work with Sales, Business Units, Digital, and IT teams to translate business needs into scalable data solutions and measurable improvements in revenue and efficiency.

The role requires 3–5 years in data analytics, transformation, or AI projects, with strong communication and change-management skills.