Pilgrim - Senior Business Analyst (2-5 yrs)

About the job:

- The ideal candidate will play a role in the development of multiple parts of the business by analyzing past, current, and future business trends.

- This individual will establish strategies to achieve desired outcomes and implement these strategies.

- They will often work cross-functionally with internal business units in order to understand the challenges that these teams are face and provide solutions to these groups.

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.

Qualifications:

- 2+ years of experience in data analysis and data management.

- E-commerce experience is a plus.

- He / She should be a problem solver and a logical thinker

- Strong understanding of data mining, modeling, and data visualization techniques (e. , SQL, Python, Looker Studio).

- 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