Scrum Master - Commercial Analytics

Scrum Master - Commercial Analytics

Syensqo

Lisbon, Portugal

We are seeking a dedicated Scrum Master to lead our data & analytics teams. The ideal candidate will have extensive experience in agile methodologies and a deep understanding of data and analytics. You will play a key role in guiding our team to deliver high-quality, data-driven solutions that meet the needs of our Business Units.

Key Responsibilities

  • Facilitate daily Scrum, sprint planning, sprint review, and retrospective meetings;
  • Guide and coach the Scrum Team on Agile/Scrum practices and principles;
  • Assist the product owner with backlog management and ensure the team understands the product vision and objectives;
  • Remove impediments and blockers that may hinder the team's progress;
  • Foster a collaborative and high-performing team environment;
  • Work closely with data scientists, analysts, and engineers to ensure the delivery of high-quality data products and solutions;
  • Ensure the team is practicing the core agile principles of collaboration, prioritization, team accountability, and visibility;
  • Track and report on key agile metrics to monitor team performance and process improvement;
  • Continuously seek ways to improve team productivity and effectiveness.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field. A Master's degree is a plus;
  • Certified Scrum Master (CSM) or equivalent Agile experience;
  • 5+ years of experience as a Scrum Master, preferably in a data and analytics environment;
  • Proven experience with agile tools such as Jira, Trello, or similar;
  • Excellent communication, leadership, and problem-solving skills;
  • Ability to work effectively with cross-functional teams and manage multiple priorities;
  • Strong organizational skills and attention to detail.

IT Qualifications

  • Knowledge of data governance and data quality best practices;
  • Strong understanding of data and analytics concepts, including data warehousing, ETL processes, data visualization, and machine learning;
  • Understanding of cloud platforms such as AWS, Azure, or Google Cloud;
  • Experience with data visualization tools like QlikSense, Power BI, or similar.

Skills and behavioral competencies

  • Result orientation, influence & impact;
  • Empowerment & accountability;
  • Team spirit, building relationships, collective accountability;
  • Strong leadership capability, executing as appropriate in the areas of responsibility;
  • Excellent oral and written communication skills, including the ability to explain technology solutions in business terms, establish rapport and persuade others.

Language skills

  • Fluent English.

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