The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview:

This firm is a global network of professional services firms providing a comprehensive suite of services, including audit, tax, and advisory. With a global reach spanning numerous countries and territories, the firm leverages its deep industry expertise and innovative solutions to help clients navigate complex business challenges. The firm’s commitment to quality, integrity, and client service has earned it a strong reputation as a trusted advisor to organizations of all sizes.

Associate Manager, Data Analyst

Job Description:

The Information Technology Services (ITS) team is responsible for providing quality IT services and solutions internally to support the business and improve efficiency. You will be part of the Data Office, the department responsible for defining and implementing the firm’s Data Strategy. The team works with a vision to empower people to harness data across the firm to generate actionable insights and drive value.

We’re looking for a resourceful and trustful team player who is passionate about data and technology and has the spirit to diagnose and solve problems within a complex system. As a Data Analyst, your responsibilities would include, but not be limited to:

• Actively support the execution of the data strategy implementation
• Streamlining information from various sources and converting them into the right data structures and/or models that can be analysed as part of a project/application/report to provide greater insights
• Enable business teams with data access using Power BI and Alteryx. These tools incorporate self-service analytics and empower business teams with data insight autonomy with reduced technical and project costs
• Work with the Data Architecture and engineering team to define the key pipelines, and data models for data required to support the Business use-cases
• Support the build of business data assets to advance the scalability and reusability of data assets
• Translate business challenges into compelling use cases and deliver insights through data and statistical methodologies. Communicate findings effectively by telling stories with data; advocate for and implement strategies that incorporate data and data science into all business and technical decisions.
• Increase adoption of AI/ML use cases across the functions to solve business challenges and drive efficiencies.
• Document processes and guardrails on the usage of data & analytics tools (e.g. Alteryx, Power BI) in the firm
• Collaborate with the Global Data Office to deliver data use cases to meet business & data strategy objectives
• Lead data literacy & data culture across the firm, support community development; develop training, awareness, and adoption of Data analytics discipline across all functions
• Be an agent of change and instill data-driven culture across different segments of data users through effective communication and collaboration

Experience and Skills

• Bachelor’s degree in Computer Science or an equivalent degree in a quantitative discipline with extensive programming experience.
• At least 5 years of experience in Data analytics in any industry
• Working knowledge on data warehousing techniques – dimensional modelling
• Hands-on experience with Azure cloud and related services such as Azure Synapse analytics, Azure Machine learning, Azure Databricks, Azure Devops
• Strong working experience in Python for data analysis. Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Working experience on Power BI and Alteryx
• The ability to visualize and understand complex data flows, pipelines, and processes.
• Good co-ordination and negotiation skills to manage large and diverse sets of stakeholders, with an ability to express complex concepts in clear business terminology

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. Users must click to apply, redirecting to the employer’s career page.
4. No Liability: SpringCube is not liable for inaccuracies.