Lead Technical Business Analyst

JOB PURPOSE:

The Lead Technical Business Analyst will play a pivotal role in supporting our data science team's efforts in Industry 4.0 Digital Transformation for EGA. This individual will be responsible for translating business requirements into technical data requirements, facilitating communication between business stakeholders and technical teams, as well as hands-on technical specification and data exploration. They will also implement a robust data governance practice, optimal use, and management of data across the data architecture, data engineering, Machine Learning Operations (MLOps), and data science functions.

KEY ACCOUNTABILITIES:

1. Technical Business Analysis: Analyse business needs and requirements, translate them into data solutions, and communicate these needs to the technical teams. Work closely with the data science team to understand, analyse, and support their data requirements.
2. Data Governance: Implement and monitor data governance policies and practices. Ensure data quality, privacy, and compliance with relevant regulations. Hands-on development and rolling out of the data governance platform.
3. Data Management: Coordinate and work with different teams to ensure robust data management practices across the data architecture, data engineering processes, MLOps, and data science models. Enable data cataloging, data lineage, and exploration.
4. Agile: Collaborate with the Scrum master to support writing of stories, oversee data-related projects, ensure alignment with business objectives, and delivery.
5. Stakeholder Communication: Act as a bridge between technical teams and non-technical stakeholders, facilitating clear and effective communication. Conduct data workshops showcasing best practices for data management and self-service.
6. Trend Analysis: Stay updated with the latest Industry 4.0 trends and understand their potential impact on our business and data strategies.

QUALIFICATIONS & SKILLS:

Minimum Qualifications:

1. Bachelor’s degree in Computer Engineering, Computer Science, or equivalent.

Minimum Experience:

1. 5+ years of experience in a data-relevant role (analysis/engineering), with a strong focus on data challenges (data requirements, governance, management, agile processes).
2. Experience in a manufacturing environment implementing Industry 4.0 principles would be highly desirable.

Skills:

1. Hands-on experience with data analytics and engineering across different domains.
2. Hands-on experience with Python and SQL.
3. Experience in designing and understanding data models.
4. Experience in understanding agile software development practices.
5. Experience in cross-functional collaboration with product, tech, business, and data science teams.
6. Detailed knowledge of gathering and translating business requirements into data requirements and working with data engineers and data scientists to scope out the solution required.
7. Project management skills.
8. Effective collaboration, communication, and interpersonal skills.
9. Experience in coaching and mentoring.
10. Problem-solving.