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Data Analyst (Onsite, Lahore, PKR Salary)

Pakistan·Lahoremid

Data AnalystData

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Quick Summary

Key Responsibilities

Analyze large datasets to identify trends, patterns, anomalies, and business opportunities. Write efficient SQL queries to extract, manipulate, and analyze data.

Requirements Summary

2+ years of experience in Data Analysis, Business Intelligence, or related roles. Strong command of SQL, including joins, aggregations, filtering, and Common Table Expressions (CTEs).

Technical Tools

lookermetabasepower-bipythonsqltableauab-testingdata-analysismachine-learningsaasstatistical-modeling

Requirements

~1 min read

2+ years of experience in Data Analysis, Business Intelligence, or related roles.
Strong command of SQL, including joins, aggregations, filtering, and Common Table Expressions (CTEs).
Hands-on experience with dashboarding and BI tools such as Metabase, Tableau, Looker, or Power BI.
Excellent analytical thinking and problem-solving skills.
Ability to interpret complex data and translate insights into actionable business recommendations.
Strong communication and presentation skills with the ability to explain findings to stakeholders.
Highly detail-oriented with strong organizational and time management abilities.
Comfortable working in a fast-paced and dynamic environment.
Familiarity with Python or R for data analysis and automation.
Experience working with Databricks or other cloud-based data platforms.
Exposure to healthcare or SaaS-related datasets is preferred.
Understanding of A/B testing methodologies and statistical analysis concepts.
Basic understanding of machine learning concepts and predictive analytics.

Responsibilities

~1 min read

→Analyze large datasets to identify trends, patterns, anomalies, and business opportunities.
→Write efficient SQL queries to extract, manipulate, and analyze data.
→Develop dashboards, reports, and visualizations for business and operational stakeholders.
→Track KPIs and provide actionable insights and recommendations based on data findings.
→Collaborate with product, operations, and leadership teams to understand reporting and analytics requirements.
→Clean, validate, and prepare data to ensure accuracy and reliability in reporting.
→Present insights in a clear, concise, and easy-to-understand manner for non-technical audiences.
→Ensure consistency, accuracy, and quality across reports and dashboards.
→Maintain proper documentation for metrics, reports, dashboards, and data processes.
→Contribute to building and promoting a strong data-driven culture within the organization.