Data Analyst

Job Description:

We are seeking a Data Analyst with 1+ years of experience to join our dynamic team. The ideal candidate will be responsible for analyzing complex datasets, uncovering actionable insights, and helping drive data-driven decisions across the company. If you are analytical, detail-oriented, and passionate about turning data into meaningful business outcomes, this role is perfect for you.

Key Responsibilities:

• Collect, clean, and analyze large datasets to identify patterns, trends, and actionable insights.
• Develop, maintain, and automate data reports and dashboards for tracking business metrics.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Use statistical methods to analyze data and generate forecasts or predictive insights.
• Ensure data accuracy, integrity, and consistency across all reports and systems.
• Identify opportunities for process improvements based on data insights.
• Present findings to stakeholders in a clear and concise manner.
• Support decision-making by providing ad-hoc data analysis and reporting.

Requirements:

• 1+ years of experience in a data analyst or similar role.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or Google Data Studio).
• Solid understanding of SQL and experience with relational databases.
• Strong analytical skills and proficiency in tools like Excel or Google Sheets.
• Familiarity with statistical methods and techniques.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and presentation skills to share insights effectively.
• Detail-oriented and able to manage multiple tasks simultaneously.

Preferred:

• Experience with Python or R for data analysis.
• Familiarity with ETL processes and data pipeline management.
• Experience with big data platforms (e.g., AWS, Azure, Google Cloud).
• Exposure to machine learning or predictive analytics is a plus.

Benefits:

• Competitive salary
• Flexible working hours and remote options
• Learning and development opportunities
• Collaborative and supportive work environment