Lead Technical Business Analyst

About Emirates Global Aluminium

Emirates Global Aluminium is the world’s biggest ‘premium aluminium’ producer and the largest industrial company in the United Arab Emirates outside the oil and gas industry.  EGA is an integrated aluminium producer, with operations on four continents from bauxite mining to the production of cast primary aluminium and recycling. EGA employs over 7,000 of these people including more than 1,200 UAE Nationals. EGA operates aluminium smelters in Jebel Ali and Al Taweelah in the United Arab Emirates, an alumina refinery in Al Taweelah, a bauxite mine and associated export facilities in the Republic of Guinea, a speciality foundry in high strength recycled aluminium in Germany, and a recycling plant in the United States.

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 not only the communication between business stakeholders and technical teams but 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:

• Technical Business Analysis: Analyse business needs and requirements, translate them into data solutions, and communicate these needs to the technical teams. Work closely with data science team to understand, analyse, and support their data requirements.
• 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 data governance platform
• Data Management: Coordinate and hands on with different teams to ensure robust data management practices across the data architecture, data engineering processes, MLOps, and data science models. Enabling data cataloging, data lineage and exploration
• Agile: Collaboration with the Scrum master to support writing of stories, oversee data-related projects, ensure alignment with business objectives, and delivery.
• 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 selfserve
• Trend Analysis: Stay updated with the latest Industry 4.0 trends and understand their potential impact on our business and data strategies.

AUTHORITY/ DECISION MAKING:

• Propose approaches for data lineage, mapping and cataloging
• Go to person to maintain business logic translation to data requirements

QUALIFICATIONS & SKILLS:

Minimum Qualifications:

• Bachelor’s degree in Computer Engineering or Computer Science or equivalent

Minimum Experience:

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

Skills:

• Hands-on experience with data analytics and engineering across different domains.
• Hands on experience with python and SQL
• Experience in designing and understanding data models
• Experience in understanding agile software development practices
• Experience in cross functional collaboration with product , tech , business and data science teams
• 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
• Project management skills
• Effective collaboration, communication, and interpersonal skills
• Experience in coaching and mentoring
• Problem solving