We are seeking a skilled Power BI Analyst to join our team, reporting directly to the VP of Finance. This role involves owning the end-to-end technical execution of the company’s corporate reporting layer with minimal oversight. The primary objective is to transform enterprise data into reliable, decision-ready dashboards and ensure these remain up-to-date as the business and data platform evolve.
Key Responsibilities
Dashboard Development: Design, build, deploy, and maintain interactive Power BI dashboards. This includes ongoing modeling and visualization upkeep to ensure dashboards remain accurate and insightful.
KPI Reporting: Query Snowflake to track, analyze, and present key performance indicators that support business decision-making.
Business Logic: Write and modify SQL queries to update reporting logic in response to changing business rules and requirements.
Data Integration: Incorporate new data sources into the analytics framework as platform features expand. Manage ELT pipelines using Fivetran to ensure smooth data flow.
Stakeholder Translation: Collaborate closely with the VP of Finance and other business stakeholders to translate reporting requirements into functional and scalable data models.
Data Quality and Improvement: Take ownership of data integrity across all dashboards. Proactively recommend and implement enhancements to data, logic, and reports to improve accuracy and usability.
Required Qualifications
- Minimum of 5 years’ experience in data analytics or business intelligence.
- Strong expertise in Power BI and SQL.
- Hands-on experience with Snowflake data warehousing.
- Working knowledge of ELT processes and Fivetran data pipelines.
- Ability to independently manage data projects with strong attention to detail.
Preferred Qualifications and Benefits
Experience with Salesforce and Microsoft Dynamics 365 / Business Central as source systems is advantageous, given their likely integration into the data environment.
This position is based onsite in Islamabad, offering the opportunity to work closely with finance leadership and contribute directly to the company’s data-driven decision-making capabilities.