Power BI Data Analyst

6 days ago


Manila, National Capital Region, Philippines Private Advertiser Full time

The primary focus of this role is to support the New Zealand-based company by handling various business-related tasks. This includes leveraging data to facilitate informed decision-making and improve project performance.

As a Data Analyst specializing in Power BI, you will be responsible for developing, designing, and maintaining reports and dashboards that focus on program and time-related data. By transforming raw data into actionable insights, this role aims to support strategic planning, improve efficiency, and ensure data-driven solutions are effectively communicated to stakeholders across the organization.

Key Responsibilities:

Develop, design, and maintain Power BI reports and dashboards.Extract, transform, and load (ETL) data from various sources to create comprehensive data models.Analyse programme and time-related data to generate actionable insights.Collaborate with cross-functional teams to understand data requirements and deliver accurate reports.Ensure data accuracy and integrity in all reports and dashboards.Continuously improve reporting processes and tools to enhance data analysis capabilities.Provide training and support to users on Power BI reports and dashboards.Stay updated with the latest Power BI features and best practices. Qualifications:Bachelor's degree in Data Science, Statistics, Computer Science, Information Technology, or any related field.3 - 5 years of experience as a Data Analyst, with a focus on Power BI report developmentStrong proficiency in Power BI, including DAX (Data Analysis Expressions), M-Query and SQL script preparation.Experience with data warehousing, ETL processes, and data modelling.Experience with programme and time-related data analysis.Strong analytical skills are essential, but the ability to effectively present metrics is highly desirable.Basic knowledge in Microsoft Project and Primavera P6 is advantageous.Knowledge in project management principles and methodologies is advantageous.Ability to work independently and collaboratively in a fast-paced environment.Attention to detail and a commitment to data accuracy.Excellent analytical and problem-solving skills.Strong communication skills, with the ability to present data insights clearly to non-technical stakeholders. EQUIPMENT/SYSTEM REQUIREMENTS


• Desktop/Laptop with at least an i7 processor; Windows 10 OS


• Not less than 16GB ram for complex analytics


• Minimum internet speed of 25 MBPS


• Working headset and camera for virtual meetings


• Dedicated workplace


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