Lead - Data Analytics - Manufacturing Industry (8-12 yrs)

Key Responsibilities

1. Team Leadership:

- Lead and mentor a team of analysts, and data engineers.

- Define team goals, objectives, and key performance indicators (KPIs).

- Provide guidance, training, and support to team members to enhance their skills and performance.

2. Data Analysis and Reporting:

- Analyse large datasets to extract meaningful insights related to stainless steel production, sales, quality, supply chain, or other relevant areas.

- Develop and maintain dashboards, reports, and data visualizations for management and stakeholders.

- Ensure data accuracy, integrity, and consistency in all analytical work.

3. Strategic Planning:

- Collaborate with cross-functional teams to understand business objectives and align analytics initiatives accordingly.

- Develop and implement data-driven strategies to optimize stainless steel production, inventory management, or other aspects of the business.

4. Predictive Analytics and Forecasting:

- Build predictive models to forecast demand, identify trends, and support decision-making in areas such as pricing, inventory management, and production planning.

5. Data Governance and Quality:

- Establish and maintain data governance practices to ensure data accuracy and security.

- Monitor and improve data quality by implementing data cleansing and validation processes.

6. Technology and Tools:

- Evaluate and implement advanced analytics tools, data analytics platforms, and technologies to enhance the team's capabilities.

- Build frontend Sales App UI/UX: Automate tasks for sales team using data driven insights enabled by a cutting-edge frontend.

- Stay updated on the latest industry trends and best practices in data analytics.

7. Stakeholder Engagement:

- Communicate insights and findings to various stakeholders, including senior management, and provide actionable recommendations.

- Collaborate with different departments to understand their analytical needs and address them effectively.

8. Performance Metrics and Continuous Improvement:

- Define and track key performance metrics for the analytics team's projects and initiatives.

- Continuously assess and improve the team's processes and methodologies to increase efficiency and impact.

Qualifications:

- Bachelor's degree in business, Computer Science, Data Science, or a related field; master's degree mandatory.

- Proven leadership experience (8+ years) in data analytics, with a track record of effectively managing and developing high-performing teams.

- Strong proficiency in data analysis tools and languages (SQL, Python, R, etc.).

- Proficiency in data visualization tools (Tableau, Power BI, etc.).

- Exceptional communication, interpersonal, and presentation skills.