Position:

Data Analyst we are seeking an experienced

Expert Data Analyst with strong expertise in data visualization, business intelligence architecture, and advanced analytics

. In this role, you will lead the development of enterprise-level dashboards and analytics solutions that enable data-driven decision-making across the organization.

You will collaborate closely with data engineers, data scientists, and business stakeholders to transform complex data into strategic insights that support innovation in retail and digital platforms.

Responsibilities

Data Visualization & BI Architecture

Lead the design and development of enterprise-scale dashboards and analytics platforms using tools such as QlikSense, Looker, Power BI, Tableau, or similar technologies

Establish best practices and standards for data visualization, dashboard design, and reporting frameworks

Ensure dashboards deliver clear, actionable insights for business leaders and operational teams

Advanced Data Analysis

Analyze large-scale and complex datasets to identify trends, patterns, and opportunities that support strategic decision-making

Apply advanced analytical techniques to support business optimization and performance monitoring

Provide data-driven insights and recommendations to support product, operational, and strategic initiatives

Data Management & Data Modeling

Design and maintain data models, semantic layers, and reporting frameworks for enterprise BI solutions

Collaborate with Data Engineers to ensure high-quality, reliable, and scalable data pipelines

Define data governance and data quality standards for reporting and analytics

Stakeholder Collaboration

Partner with business units and product teams to understand requirements and translate them into scalable analytics solutions

Present insights and analytical findings to both technical teams and senior business stakeholders

Provide guidance and mentorship to junior analysts and BI developers

Continuous Improvement

Identify opportunities to improve analytics capabilities, reporting automation, and decision-support systems

Stay up to date with emerging trends in data analytics, BI platforms, and data visualization technologies

Qualifications

Required

Bachelors or Masters degree in

Data Science, Computer Science, Statistics, Mathematics, or related fields

6-8+ years of experience in data analysis, business intelligence, or analytics roles

Strong expertise in

BI and data visualization platforms such as QlikSense, Looker, Power BI, or Tableau

Advanced

SQL skills for complex data extraction, transformation, and analysis

Strong understanding of data modeling, dimensional modeling, and data warehousing concepts

Experience working with large datasets and enterprise analytics environments

Strong analytical thinking and problem-solving capabilities

Excellent communication skills with the ability to translate data insights into business recommendations

Preferred

Experience working with cloud-based data platforms (AWS, Azure, or GCP)

Familiarity with big data technologies such as Spark, Databricks, or Hadoop

Experience supporting retail, e-commerce, or digital platform analytics

Knowledge of

Python or R for advanced data analysis

Experience implementing data governance and BI strategy