Data Analyst

Job Description 

The Smart Data Analyst bridges the gap between business needs and data-driven solutions. This role involves analyzing data, identifying trends, and providing actionable insights to guide decision-making processes, improve business outcomes, optimize business strategies, improve customer experience, and enhance profitability. 

Key Responsibilities: 

Data Analysis and Interpretation 

Gather, clean, and analyze large datasets to identify trends and insights. 

Use statistical techniques to interpret data and generate business insights. 

Deliver insights on potential areas of growth, optimization, and improvements. 

Build models to forecast future trends or outcomes (e.g., sales, customer behavior). 

Track key performance indicators (KPIs) to evaluate business success. 

Monitor market trends and competitor data to provide strategic insights. 

Translate business needs into data models, analysis, and actionable recommendations

Skills & Qualifications: 

Essential

Strong analytical skills and ability to build dashboards; proficient in data visualization tools (e.g., Power BI, Metabase).

Strong SQL expertise

Experience working with large-scale business datasets (1M+ rows).

Proficiency in statistical analysis using tools such as Python or R (R is a plus).

Excellent communication and presentation skills.

Advanced English proficiency.

Preferred

Experience in retail, e-commerce, or FMCG sectors.

Familiarity with predictive modeling and machine learning techniques.

Competencies: 

Data-driven approach. 

Attention to detail and problem-solving skills. 

Strong time management and organizational skills. 

Ability to work collaboratively in a fast-paced environment