Team Lead- Data Analyst

KGK Group; Surat; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

KGK Group is seeking a Data Analyst- Team Leader to collect, process, and analyze data to support strategic decisions. You will lead a team of analysts, build dashboards, and provide actionable insights across sales, manufacturing, and procurement.

The role requires 5+ years of experience, strong leadership, and expertise in SQL, Python, Tableau, and advanced Excel. A degree in a data-related field is required, with master’s credentials as a plus.

Qualifications

• Bachelor's degree in data-related fields is required.
• 5+ years of relevant data analytics experience.
• Proficiency in SQL, Python, Tableau, and Advanced Excel.
• Strong leadership and team management abilities.
• Experience with data warehousing, ETL, and large-scale data management.
• Excellent communication and presentation skills.

Responsibilities

• Lead, mentor, and develop a team of data analysts to foster collaboration and growth.
• Conduct performance reviews, set goals, and provide constructive feedback.
• Gather, clean, and structure large datasets from multiple sources.
• Perform statistical analysis to identify trends and insights.
• Develop and maintain reports, dashboards, and visualizations.
• Collaborate with cross-functional teams to translate business needs into analyses.
• Utilize SQL, Oracle, Python, Tableau to query and analyze data.
• Ensure data accuracy and quality through validation checks.
• Automate data analysis processes to improve efficiency.
• Analyze Sales, Manufacturing, Procurement, and customer data.
• Consolidate MIS reports into a single comprehensive report.
• Stay updated on data analytics trends and best practices.

Skills

Tableau

Python

SQL/Oracle

Advanced Excel

Data Management

Data Visualization

Advanced Data Analysis & Statistics

Education

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field

Masters degree or relevant certifications

Tools

Tableau

Python

SQL/Oracle

Excel

ETL

Data Warehousing

Job description

Data Analyst- Team Leader

The purpose of this position is to collect, process, and analyze data to help organizations make informed business decisions as well as to interpret complex data sets, identify trends, and generate actionable insights that support strategic goals, improve efficiency, and drive business growth.

Educational Qualification

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field. A Masters degree or relevant certifications is a plus.

Work Experience Required (In yrs.)

5+ Years Relevant

Technical Skills

• Tableau
• Python
• SQL/Oracle
• Advanced Excel
• Data Management
• Data Visualization
• Advance Data Analysis & Statistics

Other Skills

• Leadership and Team Management
• Report making skills
• Critical Thinking
• Presentation skills
• Analytical Thinking

Key Areas of Responsibilities

• 1) Lead, mentor, and develop a team of data analysts, fostering a culture of collaboration, growth, and continuous improvement.
• 2) Conduct regular performance reviews, set clear goals, and provide constructive feedback to enhance individual and team performance.
• 3) Gather, clean, and structure large datasets from multiple sources for analysis.
• 4) Perform statistical analysis and interpret data to identify trends, patterns, and insights.
• 5 )Develop and maintain reports, dashboards, and data visualizations to support business decisions.
• 6) Collaborate with cross-functional teams to understand business needs and translate them into data analysis tasks.
• 7) Use SQL, Oracle, Python, Tableau or other tools to query, process, and analyze structured and unstructured data.
• 8) Ensure data accuracy, consistency, and integrity through regular validation and quality checks.
• 9) Automate and streamline data analysis processes to improve efficiency and accuracy.
• 10) Capable of performing analyses related to Sales performance, Manufacturing processes, and procurement activities & customer.
• 11 )Consolidate various MIS reports into a single comprehensive report.
• 12 )Stay updated on industry trends and best practices in data analytics and tools.
• 13) Familiarity with data warehousing, ETL processes, and large-scale data management.