Data Analyst

We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data that supports business operations and strategic decision-making. The ideal candidate has strong analytical skills, proficiency in data analysis tools, and the ability to communicate findings to stakeholders.

Key Responsibilities:

Collect, clean, and validate data from multiple sources.
Analyze datasets to identify trends, patterns, and business opportunities.
Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.
Develop and maintain databases and data management systems.
Write SQL queries to extract and manipulate data.
Collaborate with business teams to understand reporting requirements.
Present insights and recommendations to management.
Monitor key performance indicators (KPIs) and generate regular reports.
Ensure data accuracy, integrity, and security.
Support data-driven decision-making across departments.

Required Qualifications:

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
Experience with SQL and Microsoft Excel.
Knowledge of Power BI, Tableau, or other data visualization tools.
Familiarity with Python or R for data analysis is an advantage.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent communication and presentation skills.
Attention to detail and ability to work with large datasets.

Preferred Skills:

Experience with data warehousing concepts.
Knowledge of statistical analysis and predictive modeling.
Understanding of ETL processes.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Ability to manage multiple projects and meet deadlines.

Key Competencies:

Analytical thinking
Data visualization
Problem-solving
Time management
Communication
Teamwork
Attention to detail

Typical Tools Used:

Microsoft Excel
SQL
Power BI
Tableau
Python
R
Microsoft SQL Server
Google BigQuery
Snowflake