Power BI Data Analyst: AI-Driven Dashboards & Insights

iSystems Ltd; Lahore; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Systems Limited is seeking a skilled Data Analyst to design, develop, and maintain end-to-end BI solutions using the Power BI ecosystem. The candidate will handle dataflows, data ingestion, cleansing, modeling, and the creation of reports and dashboards with advanced Power Query, DAX, and semantic models.

Experience with Excel, SharePoint Lists, SQL databases, and data governance is essential. Exposure to AI-powered tools to boost analytics and productivity will be advantageous.

Qualifications

• Bachelor's degree in a related field and 3+ years in Data Analytics or BI development.
• Strong hands-on experience with Power BI Dataflows, Power Query, M Language, DAX, and semantic models.
• Experience with Excel, SharePoint Lists, SQL databases, and large datasets.

Responsibilities

• Develop and maintain Power BI Dataflows, models, and semantic models.
• Perform data extraction, cleansing, transformation, and validation.
• Model data with fact/dimension tables and Star/Snowflake schemas.
• Improve Excel-based reports and monitor data integrity.
• Develop and maintain Power BI reports from data acquisition to deployment.
• Collaborate with analysts, data engineers, and stakeholders.
• Leverage AI tools to enhance productivity and reporting outcomes.
• Document processes, quality standards, and data governance.

Skills

Power BI

Data Analytics

DAX

SQL

Python

Education

Bachelor's degree in Data Science

Bachelor's degree in IT/Analytics

Tools

Power BI Dataflows

M Language

VBA

Regex

Alteryx

Job description

Systems Limited is seeking a skilled Data Analyst to design, develop, and maintain end-to-end BI solutions using the Power BI ecosystem. The candidate will handle dataflows, data ingestion, cleansing, modeling, and the creation of reports and dashboards with advanced Power Query, DAX, and semantic models.

Experience with Excel, SharePoint Lists, SQL databases, and data governance is essential. Exposure to AI-powered tools to boost analytics and productivity will be advantageous.