Senior (5+ years of experience)
Summary of the Role
A Senior Business Analyst works closely with various business units to improve processes, products, services, and software through data analysis. They are responsible for bridging the gap between IT and the business by using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.
Required Skills
Analytical thinking and problem-solving capability.
Great attention to detail and time-management skills.
Demonstrated ability to manage multiple projects and strong analytical skills.
Expertise in data gathering, analysis, and reporting.
Understanding of systems engineering concepts and data processing.
Familiarity with SQL, Python, or R for data querying and analysis.
Knowledge of business process modeling notations (BPMN, EPC, BPEL) is advantageous.
Ability to influence stakeholders and work closely with them to determine acceptable solutions.
Qualifications
Bachelor's or Master's degree in Business Administration, Finance, Computer Science, or related field.
Minimum 5 years of experience as a business analyst or in a related role.
Proven experience in eliciting requirements and testing.
Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
Knowledge in generating process documentation.
Strong written and verbal communication skills, including technical writing skills.
Ability to lead and negotiate business solutions that balance technical capability, cost, and time, against business need is required.
Experience with business intelligence tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop).
Responsibilities
Lead the analysis and documentation of business processes and system requirements.
Act as a liaison between the IT department and business stakeholders.
Oversee the implementation of technology solutions to ensure alignment with business objectives.
Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Work closely with management to prioritize business and information needs.
Ensure that the project timelines are met and that deliverables are of high quality.
Present findings and recommendations to key decision-makers within the organization.
Drive continuous improvement efforts by suggesting enhancements to current business practices.
Provide mentorship and guidance to junior analysts.