Bureau Veritas - Lead/Assistant Manager/Deputy Manager - Business Analytics

1. Team Leadership:

- Lead, mentor, and develop a high-performing team of analysts.

- Foster a collaborative and innovative culture within the team.

- Set clear expectations, provide regular feedback, and recognize and reward performance.

2. Business Partnership:

- Build strong relationships with key business stakeholders to understand their needs and priorities.

- Translate business questions into data-driven hypotheses.

- Communicate insights and recommendations effectively to both technical and non-technical

audiences

- Collaborate with cross-functional teams to identify key business questions and design analytical solutions.

3. Analytics Projects:

- Lead and manage data analytics projects from inception to completion using BI tool (Tableau)

- Define project scope, timelines, and resource allocation.

- Oversee data collection, cleaning, and preparation.

- Perform advanced data analysis techniques, including statistical analysis, data mining, and machine learning.

- Develop and deploy predictive models and dashboards. Continuous Improvement

- Ownership of deliverables by team / self

- Institute and conduct quality assessments to ensure accuracy of data capture

4. Change Management and Stakeholder Engagement:

- Effectively communicate data-driven insights and recommendations to operational teams and management

5. Innovation :

- Stay up-to-date with the latest trends in data analytics and machine learning.

- Explore new technologies and methodologies to improve analytical capabilities.

- Encourage experimentation and innovation within the team

6. Insight Generation :

- Extract valuable insights from data to inform business decisions.

- Identify trends, patterns, and anomalies.

- Quantify the impact of insights on business outcomes

CRITERIA FOR PERFORMANCE EVALUATION (KPIS)

Quantitative KPIs :

Project Delivery:

- Number of successful data analytics projects delivered on time

- Percentage of projects completed within the defined scope.

Data Quality on deliverables:

- Accuracy and completeness of data used in analysis.

- Effectiveness of data quality checks and validation processes.

Insight Quality:

- Relevance and actionable nature of insights delivered.

- Impact of insights on business decisions and outcomes.

Team Performance:

- Team member satisfaction and engagement.

- Team's ability to meet deadlines and deliver high-quality work.

Innovation and Improvement:

- Number of innovative solutions implemented.

- Percentage of improvement in analytical processes or tools.

Qualitative Factors:

Leadership Skills:

- Ability to inspire and motivate the team.

- Effectiveness in building strong relationships with team members and stakeholders.

- Skill in coaching and mentoring team members.

Strategic Thinking:

- Ability to align the team's efforts with the overall business strategy.

- Proactive identification of opportunities for data-driven innovation.

Communication Skills:

- Effective communication of complex technical concepts to non-technical audiences.

- Ability to present data insights in a clear and compelling manner.

QUALIFICATION AND EXPERIENCE

Qualification:

- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field; Master's degree preferred.

- Minimum 7+ years of experience in business analytics, data science, or related field.

- Minimum 4+ years of experience in a leadership role managing analytics teams.

- Strong proficiency in SQL

- Expertise in data visualization tools (e.g., Tableau, Power BI).

- Experience with big data technologies and cloud-based analytics platforms.

- Excellent communication and presentation skills, with the ability to convey complex information to nontechnical audiences.

- Proven track record of delivering impactful analytics projects in a business environment.

- Preferred: Advanced certification in a relevant discipline (e.g., in Analytics, Six Sigma certification)

- Hands-on experience with data collection, cleaning, analysis, and visualization using tools such as SQL, Excel, Tableau, Power BI, or Python

- Familiarity with process improvement methodologies (e.g., Lean, Six Sigma) and their application in a business environment

Strong problem-solving and critical thinking skills

- Excellent communication and presentation skills to effectively convey insights to stakeholders

- Ability to collaborate cross-functionally and work effectively in a team environment

- Keen business acumen and understanding of operational processes and challenges

- Adaptability and willingness to learn new tools and techniques