Katyayani Organics - Head - Data Analytics (5-7 yrs)

About The Job:

- The Head of Data Analyst will lead the data analysis function within the organization.

- This role is responsible for driving strategic insights, data-driven decision-making, and overall business efficiency.

- As the leader of a team of analysts, the individual will oversee the interpretation of complex data sets to deliver actionable insights, support business growth, and optimize operations.

- This role requires close collaboration with stakeholders across departments, including Product, Operations, Finance, Marketing, and IT, to identify business challenges, recommend solutions, and measure performance outcomes.

Key Responsibilities:

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.

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.

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.

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.

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.

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:

Educational Background :

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

- 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.

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.

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.

- 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