Senior Data Analytics Specialist

LEIGHTON ASIA PHILIPPINES INC.

Philippines

On-site

PHP 1,200,000 - 1,800,000

Full time

3 days ago
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Job summary

LEIGHTON ASIA PHILIPPINES INC. seeks a Senior Data Analytics Specialist to lead cross-functional analytics and digital solutions within the digital transformation team.

You will set data model, dashboard and Power Platform standards, ensuring Azure-based solutions are scalable and secure while mentoring junior analysts. You will translate business strategy into a prioritized solution roadmap, review designs for compliance, and drive advanced analytics using Python and SQL, while optimizing Power

Qualifications

  • Bachelor’s degree in IT, CS, engineering or math.
  • 5–8 years of experience in business analysis, data analytics or digital solution delivery.
  • Experience leading end-to-end BI and application projects.
  • Experience designing enterprise data models and setting reporting and development standards.
  • Experience mentoring analysts and managing senior business stakeholders.
  • Expert Power BI and DAX, with performance optimization of large data models.
  • Advanced Power Platform skills including Dataverse, canvas and model-driven apps and complex Power Automate flows.
  • Strong command of the Azure platform / data warehouse stack (e.g. Synapse, Data Factory) and data architecture.
  • Advanced SQL and Python for complex data transformation, automation and analytics.
  • Strong solution design, governance and data security expertise (row-level / object-level security).

Responsibilities

  • Define data models, dashboard and application standards and reusable design patterns.
  • Review solution designs to ensure scalable, secure and maintainable Azure and Power Platform solutions.
  • Own technical governance, data security and best-practice compliance across the team's deliverables.
  • Lead deep-dive and exploratory analytics for new programs and strategic initiatives.
  • Design automated and advanced analytical solutions using Python and Azure services.
  • Optimize the performance of Power BI models and data warehouse queries.
  • Advise senior management and translate business strategy into a prioritized solution roadmap.
  • Manage the portfolio backlog, expectations and trade-offs across competing demands.
  • Coach and mentor Junior and mid level business analysts.
  • Conduct peer and code reviews of DAX, SQL, Python and app solutions.

Skills

Power BI
DAX
Python
SQL
Power Platform
Dataverse
Azure
Data Modeling
Data Warehousing
Governance
Security

Education

Bachelor’s Degree in IT/CS/Engineering/Math

Tools

Synapse
Data Factory

Job description

About the role

The Senior Data Analytics Specialist leads complex and cross-functional analytics and digital solution initiatives within LAIO's digital transformation team, acting as a trusted advisor to business stakeholders and management. The role provides solution architecture input, sets the standards for data models, dashboards and Power Platform applications, and ensures solutions built on Azure and the Power Platform are scalable, secure and aligned to the digital transformation roadmap. The Senior Data Analytics Specialist also mentors Junior and mid-level Business Analysts and assures the quality of the team's technical output.

Key responsibilities
  • Define data models, dashboard and application standards and reusable design patterns

  • Review solution designs to ensure scalable, secure and maintainable Azure and Power Platform solutions

  • Own technical governance, data security and best-practice compliance across the team's deliverables

  • Lead deep-dive and exploratory analytics for new programs and strategic initiatives

  • Design automated and advanced analytical solutions using Python and Azure services

  • Optimize the performance of Power BI models and data warehouse queries

  • Advise senior management and translate business strategy into a prioritized solution roadmap

  • Manage the portfolio backlog, expectations and trade-offs across competing demands

  • Coach and mentor Junior and mid level business analysts

  • Conduct peer and code reviews of DAX, SQL, Python and app solutions

About you
  • Bachelor's Degree in Information Technology, Computer Science, Engineering, Mathematics or equivalent

  • 5 - 8 years of experience in business analysis, data analytics or digital solution delivery

  • Demonstrated experience leading end-to-end BI and application projects from concept to deployment

  • Experience designing enterprise data models and setting reporting and development standards

  • Experience mentoring analysts and managing senior business stakeholders

  • Expert Power BI and DAX, with proven performance optimization of large data models

  • Advanced Power Platform skills including Dataverse, canvas and model-driven apps and complex Power Automate flows

  • Strong command of the Azure platform / data warehouse stack (e.g. Synapse, Data Factory) and data architecture

  • Advanced SQL and Python for complex data transformation, automation and analytics

  • Strong solution design, governance and data security expertise (row-level / object-level security)

About us

Established in 1974 and headquartered in Hong Kong, Leighton Asia delivers a portfolio of high-profile infrastructure projects throughout Asia. We are a proven leader in the delivery of complex tunnel, rail and road networks, and offering a comprehensive range of services spanning key sectors including civil infrastructure, advanced technology, buildings, energy and resources, and MEP. We currently operate in Hong Kong, Macau, Singapore, Philippines, Indonesia, Malaysia and India. Leveraging our international expertise and local knowledge, we are committed to delivering value-added solutions, bespoke and high-quality projects, and generating sustainable returns for our clients, while providing safe, rewarding and fulfilling careers for our people. Leighton Asia is a member of CIMIC Group, an engineering-led construction, mining, services and public private partnerships leader with a history dating back to 1899.

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