Business Analyst (m/w/d)

Description

We are seeking a detail-oriented and proactive Business Analyst to join our dynamic team. The ideal candidate will play a critical role in bridging the gap between our business objectives and technology solutions. As a Business Analyst, you will collaborate closely with stakeholders across various departments to gather, analyze, and document business requirements, ensuring that project deliverables align with strategic goals. You will be instrumental in identifying process improvements, providing actionable insights, and supporting data-driven decision-making throughout the project lifecycle. This role demands excellent communication skills, analytical thinking, and the ability to work in a fast-paced environment. Your contributions will directly impact the efficiency and effectiveness of our operations, helping to drive sustainable growth and innovation. If you are passionate about leveraging data and technology to solve complex business challenges and thrive in a collaborative environment, we encourage you to apply and become a key contributor in shaping our company’s future success.

Responsibilities

• Collaborate with stakeholders to gather and analyze business requirements.
• Document functional requirements, use cases, and process flows clearly and concisely.
• Identify opportunities for process improvements and recommend solutions.
• Facilitate communication between business teams and technical developers.
• Assist in the development and execution of test plans to ensure requirements are met.
• Conduct data analysis to support decision making and identify trends.
• Support project management activities including status reporting and risk identification.

Requirements

• Bachelor’s degree in Business Administration, Information Technology, or related field.
• Proven experience as a Business Analyst or similar role.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication abilities.
• Proficiency in requirements elicitation and documentation techniques.
• Familiarity with project management methodologies like Agile or Waterfall.
• Experience with data analysis tools such as Excel, SQL, or BI software.