AI Data Analyst (AU, Construction, Hybrid)

ConnectOS; Metro Manila; Hybrid; PHP 480,000 - 720,000; Full time

Benefits offered by this job

Hybrid work model (3x onsite)

Sign-on bonus Php30,000

Medical / Dental coverage

Paid vacation

13th month pay

Career growth opportunities

Training and development

Job summary

ConnectOS in Metro Manila, Philippines, is hiring a Data Analyst to create Power BI solutions, perform ad-hoc and scheduled data analysis, and identify data quality issues using systematic approaches. The role collaborates with engineers to find root causes and implement fixes.

This role supports users across legacy systems while guiding migration to modern tooling, with a hybrid work pattern and a sign-on bonus.

Qualifications

• 2+ years business intelligence or data analysis experience across modern and legacy platforms.
• Strong Power BI skills including dashboard creation, data visualisation, and troubleshooting.
• SQL proficiency for data extraction and analysis across both Fabric and SQL Server environments.
• Systematic problem-solving using 'is/is not' methodology for data investigation.
• Legacy system knowledge including Excel/VBA, SSRS reports, and cube analysis.
• Business communication skills for explaining technical issues and guiding tool selection decisions.
• Migration support experience helping users transition from legacy to modern analytics tools.

Responsibilities

• BAU Reporting & Ad-Hoc Analysis: handle report enhancements, ad-hoc analyses, and maintain BI reports across platforms.
• Data Investigation & Root Cause Analysis: identify data quality issues and collaborate with engineers to find root causes.
• Self-Service Enablement & Vendor Coordination: enable self-service analytics, train users, and coordinate with vendors.
• Insights & Business Support: analyze performance metrics and present findings to stakeholders.

Skills

Power BI

SQL

Data analysis

BI reporting

Excel/VBA

Data quality

Communication

Migration support

Tools

Power BI

SQL Server

Excel/VBA

SSRS

Cube analysis

Job description

Sign on Bonus: Php30,000

Hybrid: 3x per week onsite

What are we looking for?

The Data Analyst is responsible for creating Power BI solutions, answering business questions through data analysis (ad-hoc and scheduled), identifying data issues using systematic investigation approaches, and collaborating with engineering roles to find root causes and implement fixes. This role also supports users across legacy systems whilst guiding migration to appropriate modern tooling.

Sign on Bonus: Php30,000

Schedule: Monday to Friday (7:00AM - 4:00PM PHT)

Hybrid: 3x per week onsite

What are we looking for?

The Data Analyst is responsible for creating Power BI solutions, answering business questions through data analysis (ad-hoc and scheduled), identifying data issues using systematic investigation approaches, and collaborating with engineering roles to find root causes and implement fixes. This role also supports users across legacy systems whilst guiding migration to appropriate modern tooling.

Skills Required

• 2+ years business intelligence or data analysis experience across modern and legacy platforms
• Strong Power BI skills including dashboard creation, data visualisation, and troubleshooting
• SQL proficiency for data extraction and analysis across both Fabric and SQL Server environments
• Systematic problem-solving using "is/is not" methodology for data investigation
• Legacy system knowledge including Excel/VBA, SSRS reports, and cube analysis
• Business communication skills for explaining technical issues and guiding tool selection decisions
• Migration support experience helping users transition from legacy to modern analytics tools

Nice To Have

• Microsoft Fabric or Power BI certifications (PL-300, DP-600)
• Experience with Python, R, or other analytical programming languages
• Background in finance, operations, or commercial analysis
• Experience training business users on analytics tools
• Knowledge of statistical analysis and data science techniques
• Familiarity with Jupyter notebooks and Microsoft Fabric notebooks

What will you do?

BAU Reporting & Ad-Hoc Analysis

• Handle report enhancement requests including dashboard modifications, new filter implementations, and performance optimisation
• Perform ad-hoc analysis to answer business questions across all available data platforms
• Maintain existing reporting infrastructure including Excel, SSRS, and PowerBI reports (both legacy and ad-hoc)
• Support end-of-month finance data import/export processes and EDW/IDW warehouse operations
• Conduct exploratory data analysis to identify trends, patterns, and business opportunities
• Support users transitioning from legacy tools toward appropriate Fabric self-service solutions

Data Investigation & Root Cause Analysis

• Investigate data quality issues using systematic "is/is not" problem-solving approach
• Collaborate with Data Engineers and Platform Engineers to identify root causes of data issues
• Validate data accuracy and completeness across both Fabric and legacy reporting systems
• Perform detailed analysis on data discrepancies and anomalies across multiple platforms
• Support business users in understanding data definitions, limitations, and appropriate tool selection
• Guide users from legacy systems (Excel/VBA, SSRS, cubes) toward appropriate Fabric self-service solutions

Self-Service Enablement & Vendor Coordination

• Enable business users to access data independently through appropriate self-service tooling
• Provide hands-on training and support for Power BI whilst helping users transition from legacy tools
• Support business requirements gathering for vendor-built data products and ensure alignment with user needs
• Guide tool selection decisions, helping users choose between Excel, Power BI, and other Fabric capabilities
• Create user-friendly documentation and training materials for both legacy and modern tools
• Coordinate with external vendors during build phases to ensure business user requirements are met

Insights & Business Support

• Analyse business performance metrics and identify improvement opportunities
• Create analytical solutions to support strategic business initiatives
• Develop predictive models and forecasting solutions where appropriate
• Present findings and recommendations to business stakeholders
• Support business cases with quantitative analysis and data-driven insights

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

#ConnectOSCareers #JoinConnectOS #ConnectOSTech

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.