Data Analytics

3 weeks ago

Pune, India Neutrino Tech Systems NTS AUTOMATION LABS PRIVATELIMITED Full time
Data Analytics Capability Head

JDfor Data Analytics Capability Head:

Therole of a Capability & Practice Head is to oversee thedevelopment implementation and management of a companyscapabilities and practices across various departments or teams.He/She is responsible for driving continuous improvement andefficiency through the implementation of best practices tools andprocesses.

1.Strategy Development: Develop a comprehensive strategy for the DataAnalytics vertical aligning with the overall goals and objectivesof the organization. This includes identifying market opportunitiesdefining target segments and outlining a roadmap for growth.
2. Team Leadership: Build andlead a highperforming team of data analysts data scientists andother professionals. Provide mentorship guidance and support tofoster their professional development and ensure their success indelivering impactful analytics solutions.
3. Client Engagement: Workclosely with clients to understand their business needs andchallenges and translate them into actionable insights andanalytics solutions. Build strong relationships with clients todrive customer satisfaction and retention.
4. Product Development: Drive thedevelopment of innovative data analytics products and solutionsthat address market needs and differentiate the organization fromcompetitors. Collaborate with crossfunctional teams includingproduct management engineering and sales to bring these products tomarket successfully.
5. QualityAssurance: Establish and enforce best practices for data collectionprocessing analysis and visualization to ensure the accuracyreliability and integrity of analytics outputs. Implement qualityassurance processes and tools to continuously monitor and improvedata quality.
6. TechnologyEvaluation and Implementation: Stay abreast of emergingtechnologies and trends in data analytics machine learning andartificial intelligence. Evaluate new tools and platforms for theirpotential to enhance the organizations analytics capabilities andoversee their successful implementation and integration intoexisting systems.
7. PerformanceMonitoring and Reporting: Define key performance indicators (KPIs)and metrics to measure the success and impact of the Data Analyticsvertical. Regularly monitor and analyze performance data andprovide timely reports and insights to senior management and otherstakeholders.
8. Risk Management:Identify and mitigate risks related to data privacy securitycompliance and ethical considerations in data analytics projects.Ensure compliance with relevant regulations and industry standardsand establish protocols for handling sensitive or confidentialdata.
9. Continuous Improvement:Foster a culture of continuous improvement within the DataAnalytics team encouraging experimentation learning and knowledgesharing. Seek feedback from clients team members and otherstakeholders to identify areas for improvement and implementchanges accordingly.
10.Budgeting and Resource Allocation: Develop and manage the budgetfor the Data Analytics vertical allocating resources effectively tosupport ongoing operations projects and initiatives. Monitorexpenses and ensure costeffective utilization of resources tomaximize ROI.
11. TechnicalSkills: Understands the current Buzz tools and has the ability toarchitect and design solutionsfor
Robotic ProcessAutomation
Data And Analytics
AI & ML ChatbotsBusiness Rule Engines and others
Cloud services on AI/ML

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