Data Analyst

Overview

The Data Analyst will be responsible for analyzing complex data sets to provide actionable insights that drive strategic decision-making and enhance business performance. This role plays a key part in supporting data-driven initiatives across the organization by interpreting data to identify trends, inform decisions, and optimize operations.

Working closely with cross-functional teams, including Product, Operations, Finance, Marketing, and IT, the Data Analyst will help identify business challenges, recommend data-driven solutions, and assess performance outcomes to contribute to the overall success and growth of the company.

Key Responsibilities:

1.Leadership & Strategy:

• Develop and execute a comprehensive analytics strategy aligned with the company’s goals.
• Lead, mentor, and manage a team of business analysts, ensuring the team's output aligns with business objectives.
• Provide thought leadership on emerging business trends and technologies.
• Foster a data-driven culture across the organization, promoting the use of analytics in decision-making processes.

2.Data Analysis & Insights:

• Oversee the development of detailed reports and dashboards to track business performance and identify areas of improvement.
• Perform high-level data analysis, interpreting trends, and identifying opportunities for growth and optimization.
• Use advanced analytical tools to predict future trends and develop predictive models to support business planning.
• Collaborate with data science and engineering teams to enhance data infrastructure and data quality.

3.Stakeholder Collaboration:

• Work with department heads to identify business needs and provide analytical support in problem-solving.
• Present findings and recommendations to senior leadership, helping to shape company strategy.
• Ensure alignment between business analysis activities and the needs of various departments such as sales, finance, product, and operations.

4.Process Improvement:

• Analyze business processes, identify inefficiencies, and recommend solutions to improve operational effectiveness.
• Implement business process reengineering projects based on data insights.
• Define and monitor key performance indicators (KPIs) to ensure continuous improvement.

5.Project Management:

• Lead or support critical business projects, ensuring timely and effective delivery of business analysis work.
• Manage stakeholder expectations and ensure that projects align with broader business goals.

6.Technology & Tools:

• Evaluate and implement business intelligence and analytics tools and systems.
• Ensure the efficient use of data analysis platforms such as SQL, Tableau, Power BI, Python, R, or other relevant tools.

Key Skills & Qualifications:

1.Educational Background:

• Bachelor’s degree in Business, Economics, Mathematics, Statistics, or a related field (MBA or advanced degree preferred).

2.Experience:

• 5+ years of experience in business analysis or business intelligence, with a track record of leading high-performing teams.
• Proven ability to analyze complex data sets and provide actionable recommendations.
• Experience working with senior leadership and influencing business strategy through data insights.

3.Technical Skills:

• Proficient in data analysis tools such as Excel, SQL, looker, bigquery , Power BI, or similar tools.
• Knowledge of Mongo DB and Mongo charts is preferable.
• Familiarity with data modelling, machine learning, or AI-driven analytics is a plus.
• Experience with CRM, and other business systems is advantageous.

4.Analytical Skills:

• Strong problem-solving skills with the ability to turn data into actionable insights.
• Ability to translate complex data into clear business strategies.
• Attention to detail and accuracy in data interpretation.

5.Leadership & Communication:

• Strong leadership skills with a proven ability to lead cross-functional teams.
• Excellent verbal and written communication skills, with experience presenting data to stakeholders at all levels.
• Collaborative and able to build relationships with internal teams and external partners.

Job Type: Full-time

Pay: From ₹25,000.00 per month

Benefits:

• Health insurance

Schedule:

• Day shift

Work Location: In person