Data Analyst

Remote

icon
₹ 3 - 4 Lakh/year

Full-time

Posted on: a year ago

Skills

python
sql
power bi

We are a dynamic IT company providing services in software development, web and mobile app solutions, and technical support. We are looking for a detail-oriented and analytical Data Analyst to join our growing team to help derive actionable insights from data and support business decision-making.


Key Responsibilities

    • Collect, clean, and analyze large datasets from various sources to identify trends and patterns.

    • Build and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau.

    • Collaborate with stakeholders to understand data needs and translate them into analytical solutions.

    • Perform statistical analysis to support business strategies and decision-making.

    • Identify key performance indicators (KPIs) and monitor business performance.

    • Communicate findings and recommendations clearly to non-technical stakeholders.

    • Work closely with developers and business teams to ensure data accuracy and availability.


    Requirements

    • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

    • Proven experience (1-3 years) in data analysis or a similar role.

    • Proficiency in SQL for data querying and manipulation.

    • Strong Excel skills; experience with data visualization tools like Power BI, Tableau, or similar.

    • Working knowledge of Python or R for data analysis is a plus.

    • Strong analytical and problem-solving skills.

    • Excellent communication and presentation skills.


    Preferred Qualifications

    • Experience in eCommerce, IT services, or a fast-paced tech environment.

    • Familiarity with data warehousing concepts and cloud data platforms (e.g., AWS, Google BigQuery).

    • Understanding of basic statistical methods and predictive analytics.


    What We Offer

    • Competitive salary and performance-based incentives.

    • A collaborative and supportive work environment.

    • Opportunities for professional development and upskilling.

    • Flexible work hours and remote work options.