5-7 years of experience in data analysis or a related field
Proficiency in SQL and relational database management
Experience with data visualization tools like Power BI or Tableau
Strong programming skills in Python or R
Advanced Excel skills including VLOOKUP and Pivot Tables
Responsibilities
Collect data from various primary and secondary sources
Clean and prepare datasets for analysis
Analyze trends and identify business opportunities
Create automated dashboards for real-time insights
Generate regular management reports to track KPIs
Benefits
Flexible work hours
Opportunities for professional development
Collaborative team environment
Access to the latest analytical tools and technologies
Health and wellness programs
Full Job Description
Role Overview: A data analyst collects, cleans, and interprets complex datasets to turn raw figures into actionable business insights. They help company leadership make smart choices by tracking key performance indicators (KPIs) and spotting trends Core Analytical Functions
Data Collection: Gather information from primary and secondary sources.
Data Cleaning: Fix coding errors, remove duplicate entries, and handle missing values.
Trend Analysis: Use statistical tools to Client patterns and business opportunities.
Reporting: Build automated dashboards and regular management reports.
Technical Toolkits
Querying & Databases: SQL, Snowflake, and relational database management.
Visualization Tools: Power BI, Tableau, or Looker Studio.
Programming Languages: Python or R for advanced data processing.
Spreadsheets: Advanced Excel (VLOOKUP, Pivot Tables, Power Query)
