AddressJob Title: Team Lead - Data Analytics
Location: Gurgaon, India
Job Type: Full-time
About Us:
We are a globally recognized leader in the stainless steel industry, known for our unwavering commitment to manufacturing and delivering premium stainless steel products worldwide. With a rich history and a strong emphasis on innovation, sustainability, and excellence, we have solidified our position as an industry pioneer. As we expand our operations, we are in search of an accomplished and visionary Team Lead in Data Analytics to lead our newly established Data Analytics Division.
Job Summary:
We are looking for a dynamic and experienced leader to serve as the Team Lead in Data Analytics. In this pivotal role, you will create and lead a team of Data Analysts, Business Analysts, and collaborate with cross-functional stakeholders to drive strategic decision-making through data insights. Your leadership will shape the Data Analytics Division and empower it to unlock the power of data for our organization.
Key Responsibilities:
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.
Data Analysis and Reporting:
- Analyze 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.
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.
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.
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.
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 the sales team using data-driven insights enabled by cutting-edge frontend technology.
- Stay updated on the latest industry trends and best practices in Data Analytics.
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.
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.
Risk Management:
- Identify and mitigate risks associated with data analysis and reporting, such as data privacy and security concerns.
Compliance and Regulations:
- Ensure that all data analysis and reporting activities comply with relevant data protection and industry-specific regulations.
Budget Management:
- Manage the team's budget effectively, allocating resources as needed for projects and tools.
Training and Development:
- Develop training programs and opportunities for team members to enhance their skills and knowledge in analytics and data science.
Communication:
- Present findings and insights to non-technical stakeholders in a clear and comprehensible manner, empowering data-driven decision-making at all levels.
Qualifications:
- Bachelor's degree in Business, Computer Science, Data Science, or a related field; Master's degree preferred.
- 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.
- Strong problem-solving and critical thinking abilities.
- Deep knowledge of data governance and data quality principles.
- Familiarity with industry-specific trends and best practices in Data Analytics.
How to Apply:
If you are a visionary leader who excels at harnessing the potential of data to drive strategic decisions and are enthusiastic about leading a dynamic Data Analytics Division, including a team of Business Analysts, we encourage you to apply. Join us in shaping the future of our organization through data-driven leadership. Please submit your resume and a cover letter with the subject line "Team Lead - Data Analytics Application - [Your Full Name].
We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.
