Data Analysist / Digital Consultant
Turner & Townsend View all jobs
- Shanghai
- Permanent
- Full-time
Responsibilities
- Lead Data Analytics Project Delivery: Provide technical leadership, delivery assurance, and strategic input across client engagements and internal initiatives.
- Manage Data Teams and Clients: Work closely with teams, clients, and vendors to understand requirements, deliver insights, and ensure successful system deployments.
- Design and Deliver Data Solutions: Develop and implement data-driven solutions, including dashboards, reports, and analytics tools, to support project and portfolio performance.
- Build and Maintain Data Infrastructure: Design, develop, and maintain scalable data pipelines and workflows using cloud technologies, APIs, and automation tools.
- Leverage Modern Technologies: Utilize tools such as Microsoft Azure, AWS, SQL, Python, Power BI, M365 Power Platform, and AI/ML to extract, transform, and analyze data.
- Ensure Data Quality and Governance: Monitor, analyze, and resolve data quality issues while ensuring compliance with data governance standards and best practices.
- Drive Digital Transformation: Contribute to digital, data, and technology initiatives by identifying opportunities for innovation, automation, and process improvement.
- Document and Communicate Effectively: Produce high-quality documentation, technical specifications, and presentations to support solution design and stakeholder engagement.
- Foster Innovation and Mentorship: Champion a culture of continuous improvement, mentoring team members, and promoting inclusive, high-performing work environments.
- Bachelor's or master's degree in computer / data science, engineering, business, or a related field.
- 5+ years of experience or above in data-focused roles such as Data Analyst, Data Engineer, or Digital Consultant.
- Hands-on experience with data platforms (e.g., Azure Synapse, Data Lake), analytics tools (Power BI, Tableau), and programming languages (SQL, Python, Spark).
- Proficient in SQL, Python, Power BI, and cloud platforms (Azure, AWS, GCP); experienced with tools like Databricks, Azure Data Factory, and Power Platform.
- Strong understanding of data modeling, data pipelines, governance, and enterprise architecture principles.
- Skilled in automation, API integration, and DevOps practices including CI / CD and version control (e.g., Git).
- Understanding digital strategy, business process improvement, and the human-technology interface in transformation initiatives.
- Excellent written and verbal communication skills; able to convey technical concepts to non-technical audiences.
- Proficiency in English.