Data Analytics

7 days ago

Pune, Maharashtra, India Neutrino Tech Systems (NTS AUTOMATION LABS PRIVATE LIMITED) Full time
Job Description
Data Analytics - Capability Head

JD for

Data Analytics Capability Head:


The role of a Capability & Practice Head is to oversee the development, implementation, and management of a company's capabilities and practices across various departments or teams.

He/She is responsible for driving continuous improvement and efficiency through the implementation of best practices, tools, and processes.

Strategy Development:

Develop a comprehensive strategy for the Data Analytics vertical aligning with the overall goals and objectives of the organization.

This includes identifying market opportunities, defining target segments, and outlining a roadmap for growth.

Team Leadership:
Build and lead a high-performing team of data analysts, data scientists, and other professionals. Provide mentorship, guidance, and support to foster their professional development and ensure their success in delivering impactful analytics solutions.

Client Engagement:

Work closely with clients to understand their business needs and challenges and translate them into actionable insights and analytics solutions.

Build strong relationships with clients to drive customer satisfaction and retention.

Product Development:

Drive the development of innovative data analytics products and solutions that address market needs and differentiate the organization from competitors.

Collaborate with cross-functional teams including product management, engineering, and sales to bring these products to market successfully.
5.

Quality Assurance:

Establish and enforce best practices for data collection, processing, analysis, and visualization to ensure the accuracy, reliability, and integrity of analytics outputs.

Implement quality assurance processes and tools to continuously monitor and improve data quality.

Technology Evaluation and Implementation:
Stay abreast of emerging technologies and trends in data analytics, machine learning, and artificial intelligence.

Evaluate new tools and platforms for their potential to enhance the organization's analytics capabilities and oversee their successful implementation and integration into existing systems.


Performance Monitoring and Reporting:
Define key performance indicators (KPIs) and metrics to measure the success and impact of the Data Analytics vertical. Regularly monitor and analyze performance data and provide timely reports and insights to senior management and other stakeholders.

Risk Management:
Identify and mitigate risks related to data privacy, security, compliance, and ethical considerations in data analytics projects. Ensure compliance with relevant regulations and industry standards, and establish protocols for handling sensitive or confidential data.

Continuous Improvement:
Foster a culture of continuous improvement within the Data Analytics team, encouraging experimentation, learning, and knowledge sharing. Seek feedback from clients, team members, and other stakeholders to identify areas for improvement and implement changes accordingly.

Budgeting and Resource Allocation:

Develop and manage the budget for the Data Analytics vertical, allocating resources effectively to support ongoing operations, projects, and initiatives.

Monitor expenses and ensure cost-effective utilization of resources to maximize ROI.

Technical Skills:
Understands the current Buzz tools and has the ability to architect and design solutions for

  • Robotic Process Automation
  • Data And Analytics
  • AI & ML – Chatbots, Business Rule Engines, and others
  • Cloud services on AI/ ML

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