Business Analyst
2 months ago
Qualification & Experience :
- Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science.
- At least 5 years of experience in business analysis, data analysis, and project management in the Media-AdTech industry, preferably in a managerial capacity.
- At least 3 years of professional experience developing and implementing enterprise-scale reports and highly visual, intuitive dashboards.
- Microsoft tech stack including Azure, Power BI, Power Automate, Report Builder.
Preferred Certifications :
Microsoft Certified : Azure Fundamentals.
Microsoft Certified : Power BI Data Analyst.
Certification in business analysis (e.g. CBAP) or project management (e.g. PMP) is desirable.
Required skills/Competencies :
- Experience managing, mentoring and coaching one or more direct reports, assigning and tracking tasks and providing guidance.
- Strong business analysis skills, with proven ability to elicit, analyze and document business requirements translating them to technical specifications to be implemented.
- Strong data analysis skills : Browse, process & analyze data sets, investigate and uncover data-related issues, look for patterns and insights in data.
- Nice to have coding/scripting skills: Write/model applications/reports in scripting languages and/or data analysis frameworks.
- Strong presentation and interpersonal skills with the ability to influence and negotiate effectively with executive-level audiences.
- Presenting analysis and findings (articulating analysis findings, insights, and recommendations), setting expectations, eliciting direction and decisions.
- Highly skilled in data quality, triage analysis and obtaining business insights, desirable specialization in Media-AdTech.
- Skilled in Data Visualization, specifically in PowerBI.
- Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries.
- Expertise in data cleansing, transformation, and validation.
- Understanding of Data Modeling and Database Design Principles.
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
- Attention to Detail : Being meticulous and paying attention to detail is critical in data analysis.
- Small errors or inaccuracies can lead to misleading results, so should have a keen eye for detail and double-check their work.
- Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures.
- Good understanding of Data Quality and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.
- Effective communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data engineers, data scientists, developers, and operations teams.
- Essential to convey complex technical concepts and insights to non-technical stakeholders effectively, sharing information and data.
- Self-motivated with the ability to work well in an agile team.
- Possesses strong leadership skills with a willingness to lead, create ideas, and be assertive.
- A willingness to stay updated with the latest services, trends, and best practices in the field.
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