Power BI Developer (Mid-level to Senior)

Cognizant; Taguig; On-site; PHP 1,100,000 - 1,800,000; Full time

Job summary

Cognizant is seeking a Senior Data Analyst to design, build, and operationalize Power BI dashboards and data products for End User Services. You will blend data engineering with visualization to illuminate trends, standardize reporting, and improve frontline IT support.

Lead scalable BI solutions, ingest data from ServiceNow/Jira and Microsoft 365, and ensure governance with secure, auditable datasets. This role requires 6+ years in analytics and willingness to work night shifts in Alabang.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 6+ years in Data Analytics or BI.
• 5+ years of Power BI experience (data modeling, DAX, Power BI).
• Advanced SQL across enterprise platforms and strong Excel (Power Query/Power Pivot).
• Scripting (PowerShell/Python) to automate ingestion and reports.
• Data modeling in relational databases.
• Willingness to work night shifts (8:00 PM–5:00 AM or 9:00 PM–6:00 AM).
• Office in Alabang at least 3x a week.

Responsibilities

• Design and deliver BI solutions with scalable Power BI models and dashboards.
• Build data pipelines using SQL and scripting to ingest data from ServiceNow/Jira and other tools.
• Establish a governed reporting framework for SLAs, KPIs, and standard monthly/quarterly reports.
• Translate data findings into actionable recommendations for frontline IT support.
• Publish datasets and Power BI apps; coach teams on interpretation of visuals.

Skills

Power BI

SQL

APIs

Scripting

DAX

M

Row-level security

Excel

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

ServiceNow

Jira

Microsoft 365

Intune

Endpoint analytics

SCCM

MECM

Azure Log Analytics

PowerShell

REST APIs

Job description

• The Senior Data Analyst (EUTS) is a hands-on analytics leader responsible for designing, building, and operationalizing Power BI-based dashboards, reports, and data products that illuminate trends across End User Services (Service Desk, Deskside/Field, EUC engineering, collaboration, and device management). The role blends data engineering (SQL, APIs, scripting) with data visualization and storytelling, turning diverse operational data into actionable insights that improve front-line IT support, elevate the employee experience, and standardize contractual reporting (SLAs/KPIs). Success requires deep Business Intelligence expertise, strong stakeholder engagement, and a passion for transforming the end-user landscape through data-driven decisions.
• Design and deliver BI solutions: Build scalable Power BI semantic models, datasets, and interactive dashboards (DAX/M, row-level security) that provide real-time visibility into ticket volumes, backlog, MTTR, first-contact resolution, CSAT, SLA adherence, and overall operational performance across End User Services.
• Operational reporting and standardization: Establish a single, governed reporting framework for contractual commitments -SLAs, OLAs, KPIs and produce consistent monthly/quarterly executive and vendor reports, including variance analysis and trend diagnostics.
• Data engineering and integration: Create robust data pipelines using SQL and scripting (PowerShell/Python) to ingest and transform data from systems such as ServiceNow/Jira, Microsoft 365, Intune/Endpoint analytics, SCCM/MECM, Azure Log Analytics, and other operational tools via REST/Graph APIs.
• Decision support for front-line IT: Translate findings into practical recommendations that improve front-end IT support (knowledge gaps, training opportunities, shift-left opportunities, automation candidates, problem management themes) and track the impact of those actions.
• Quality, governance, and reliability: Implement data quality checks, documentation, and version control; define source-of-truth datasets and KPIs with clear business definitions; ensure access, security, and RLS align with company policy.
• Self-service enablement: Publish certified datasets, Power BI apps, and report templates; coach End User Services teams on interpreting visuals and using insights in daily stand-ups and service reviews.
• Automation and scale: Automate refresh, distribution, and alerts (e.g., SLA breach notifications, anomaly detection, threshold exceptions) to reduce manual reporting time.
• Executive storytelling: Craft concise narratives for senior leadership, connecting metrics to outcomes (experience, productivity, cost, risk), and present insights in QBRs/MBRs.
• Collaboration: Partner with Service Desk & Deskside leads, EUC engineering, Collaboration/M365, Vendor Management, Finance, PMO, and InfoSec to align data definitions, priorities, and roadmaps.

Qualifications

• Bachelor's or Master's degree in Computer Science or any related field.
• Must have at least 6+ years in Data Analytics or Business Intelligence.
• Must have at least 5+ years of technical experience in Power BI (data modeling, DAX, Power
• Advanced SQL experience across enterprise platforms (e.g., SQL Server/Azure SQL) and strong Excel (Power Query, Power Pivot, advanced formulas).
• Proficiency in scripting (PowerShell and/or Python) to automate data ingestion, transformation, and report operations.
• Good knowledge in data modelling in relational databases
• Must be amenable to work on a night shift schedule (8:00 PM to 5:00 AM or 9:00 PM to 6:00 AM)
• Must be amenable to work in the office at least 3x a week (Alabang).