Digital Solutions Analyst

Job Summary:

Digital Solutions Analyst

Key Responsibilities:

• Collaborate with cross-functional teams (product, engineering, data science, and business stakeholders) to identify digital opportunities and define solution requirements.
• Translate business needs into functional requirements and data-driven solution designs.
• Support end-to-end product development lifecycles — from ideation and prototyping to delivery and iteration.
• Leverage AI/ML and data science tools to provide insights, automation, and advanced analytics solutions.
• Analyze and model business processes to identify areas for digital transformation or optimization.
• Design and maintain dashboards and reports to support decision-making.
• Evaluate third-party tools or platforms relevant to digital and AI solutions.
• Monitor KPIs to measure product success and identify opportunities for improvement.

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, Business, or related field.
• 16+ years of experience in digital solutions, product development, or data analytics.
• Hands-on experience with

  AI/ML frameworks

  (e.g., TensorFlow, Scikit-learn, or similar).
• Proficient in

  data analysis tools

  (e.g., Python, R, SQL, Power BI, Tableau).
• Understanding product management methodologies (Agile, Scrum).
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience working in cloud environments (AWS, Azure, or GCP).
• Familiarity with APIs, microservices, or digital platform architectures.
• Previous experience in consulting, digital transformation, or innovation labs.
• Certification in product management, data science, or AI is a plus.

Soft Skills:

• Strong stakeholder engagement and communication abilities.
• Curious, innovative mindset with a passion for emerging technologies.
• Ability to manage multiple projects and prioritize effectively.