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Business Analyst

Business Analyst

Pilgrim
3-5 Years
Not Disclosed
  • Posted 2 months ago
  • Over 50 applicants have applied

Job Description

Sr. Business Analyst/Business Analyst - Join us as the Business Intelligence Team and showcase your unparalleled skills in transforming data into actionable insights. It's time to unleash your creativity and revolutionize the world of analytics!

Roles and Responsibilities:

Deliver high-quality data analysis, reports, and visualizations that inform strategic business decisions.

Work closely with the team to understand and translate business needs into actionable data projects. Identify key metrics and KPIs to track the success of business initiatives.

Possess a strong understanding of data analytics methodologies, including data mining, modeling, and visualization tools. Stay updated with emerging trends and technologies in the data analytics field.

Collaborate with stakeholders across various departments to ensure clear understanding and alignment on data-driven insights.

Conduct market analysis to identify trends, opportunities, and competitive threats

Implement and maintain robust data quality standards and governance practices within the team. Ensure data accuracy, consistency, and accessibility for all teams.

Manage multiple data analysis projects concurrently, prioritizing tasks, and meeting deadlines effectively. Track project progress and communicate updates to stakeholders.

Present data findings in a clear, concise, and compelling manner that resonates with stakeholders across all levels.

The Ideal Profile:

1+ (for BA) and 3+ (for Senior BA) years of experience in data analysis and data management. E-commerce experience is a plus.

Strong understanding of data mining, modeling, and data visualisation techniques (e.g., SQL, Python, R, Tableau).

Excellent communication, collaboration, and presentation skills.

A passion for data-driven decision-making and a knack for translating data into actionable insights.

Ability to prioritize tasks, manage multiple projects, and meet deadlines effectively.

Strong understanding of data governance principles and best practices.

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