
Data Analyst Executive
- Lahore, Punjab
- Permanent
- Full-time
- Design and develop interactive dashboards and reports using Power BI to deliver actionable insights aligned with business objectives.
- Build robust data models in Power BI using DAX and industry best practices to enable scalable and efficient reporting.
- Analyze large and complex datasets to uncover trends, patterns, and performance indicators that inform strategic and operational decisions.
- Work closely with cross-functional stakeholders to understand requirements and translate them into effective data solutions.
- Maintain high standards of data quality and integrity by validating sources, ensuring accurate transformations, and monitoring refresh pipelines.
- Support the development of analytics by creating reusable datasets, promoting data literacy, and enabling business users.
- Leverage SQL and Python for data manipulation, transformation, and automation of recurring analytics tasks.
- Experience with data science techniques such as regression, classification, clustering, or forecasting is a strong plus and can support advanced analytical use cases.
Bachelor’s degree in computer science, Finance or any related fieldExperience:
2-3 Years of working experience in the relevant field.
Behavioral Skills:
- Problem-Solving Skills: Ability to approach challenges logically and find effective solutions.
- Adaptability: Willingness to embrace change and learn new tools or methods.
- Collaboration: Strong team player with a focus on building positive working relationships.
- Communication: Clear and concise communication, both written and verbal, to convey complex ideas effectively.
- Power BI Expertise: Proficiency in building impactful dashboards, data models, and visualizations using DAX and Power BI best practices to drive business insights.
- Data Analysis & Insight Generation: Strong analytical skills to interpret large, complex datasets and transform them into actionable insights that support strategic decisions.
- Data Modeling: Experience in designing efficient, scalable data models tailored for performance and usability in BI environments.
- Programming Skills: Experience in Python, SQL, and scripting for data manipulation and analysis.
- Cloud Computing: Knowledge of cloud platforms, particularly AWS, for data storage and processing.
- Automation: Hands on experience with Power Automate to optimize workflows and automate tasks.
- Data Science Foundations (Plus): Exposure to data science techniques such as regression, clustering, or forecasting is a valuable plus for enabling predictive insights.