Data Visualization and Analytics Lead
Location
Secunderabad | India
Job description
Sanofi India Ltd is looking for Data Visualization and Analytics Lead to join our dynamic team and embark on a rewarding career journey
- Data Analysis:Utilize various analytical techniques to analyze complex datasets
- Interpret data and analyze results using statistical techniques
- Develop and implement data-driven solutions to enhance business outcomes
- Data Visualization:Design and develop interactive and insightful visualizations to present complex data in a clear and compelling manner
- Utilize tools such as Tableau, Power BI, or D3 js to create dynamic dashboards and reports
- Collaborate with stakeholders to understand requirements and translate them into effective visualizations
- Analytics Strategy:Define analytics strategies and methodologies to address business challenges
- Identify opportunities to leverage data for business improvement and innovation
- Stay abreast of industry trends and best practices in data visualization and analytics
- Team Leadership:Lead a team of data analysts and visualization specialists
- Provide guidance, mentorship, and technical expertise to team members
- Foster a collaborative and innovative work environment
- Data Governance and Quality:Establish and enforce data governance standards to ensure data accuracy, integrity, and security
- Implement processes for data cleansing, validation, and normalization
- Monitor data quality and resolve issues in collaboration with relevant stakeholders
- Stakeholder Management:Collaborate with cross-functional teams to understand business requirements and priorities
- Communicate insights and recommendations to key stakeholders in a clear and concise manner
- Build strong relationships with business leaders to drive data-driven decision-making
- Continuous Improvement:Identify opportunities for process improvement and automation in data analysis and visualization
- Drive initiatives to enhance efficiency, scalability, and effectiveness of analytics solutions
- Actively participate in professional development activities to stay updated on emerging technologies and methodologies
- Project Management:Manage end-to-end analytics projects, from requirements gathering to implementation and evaluation
- Ensure timely delivery of high-quality analytics solutions within budget constraints
- Monitor project progress, identify risks, and implement mitigation strategies as needed
- Documentation and Training:Document analytics processes, methodologies, and findings for future reference
- Provide training and support to internal stakeholders on data visualization tools and techniques
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