Data Analyst Lead

1 week ago


Bhopal, Madhya Pradesh, India Select Brands International Pvt Ltd Full time

About the Company:
Select Brands International Pvt Ltd specializes in providing an extensive range of home decor plants, stylish planters, pots, and garden utilities that add life and vibrancy to indoor and outdoor spaces.
With a passion for green living and sustainable design, we curate our collections to inspire creativity, relaxation, and connection with nature.
To know more about us, visit our website: www.kyari.co

Job Description:
We are seeking a highly skilled Data Analyst Lead to join our team. As a Data Analyst Lead, you will be responsible for managing and developing BI dashboards for various functions within the company. You will oversee all major projects related to business analysis, lead a team of 3-4 members, and coordinate with external teams for project understanding. You will also demonstrate effective team management skills, utilize advanced analytic and business intelligence techniques to extract insights from complex datasets, create data visualizations to illustrate business trends and patterns, present key insights to senior leadership to inform decision-making, design and implement analytic solutions using predictive modeling, machine learning, and other techniques, and provide ad-hoc analysis and reports as needed by senior leadership.

Requirements:
We require a candidate with a Bachelor's/Master's Degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field. The ideal candidate should have at least 6 years of in-depth experience in business intelligence, data analytics, or related roles. Proficiency in Power BI, including data modeling, DAX (Data Analysis Expressions) calculations, and visualization development is mandatory. Additionally, a strong understanding of data warehousing concepts and methodologies is required. Key skills include excellent management & communication skills while working with both internal and external partners, regular synthesis, reporting, dashboards, and insight-driven approach, and proficiency in Python, Tableau.


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