Job Discription
Dot & Key is an award-winning skincare company established to transform the idea of skincare into a fun, easy, and acceptable notion.
We are a fast-growing brand that understands consumers, so we can deliver skincare solutions for consumers with different skin requirements, thus bridging the gap between understanding and curating products for various skin concerns.
Role: Data Analyst
Dot & Key Skincare, Kolkata, West Bengal
Job Location- Kolkata
Work From Office
Candidates from FMCG Cosmetics Industry is preferred.
Roles & Responsibilities:-
1. Lead and manage a team of data analysts, providing guidance, mentorship, and support in their day-to-day tasks.
2. Collaborate with stakeholders to understand business requirements and develop data analysis strategies to address organizational goals.
3. Design and implement data collection methods, data validation processes, and data cleaning techniques to ensure data accuracy and reliability.
4. Perform data exploration, statistical analysis, and predictive modeling to identify trends, patterns, and insights that drive business decisions.
5. Develop and maintain data models, dashboards, and reports to visualize and communicate data findings to non-technical stakeholders.
6. Collaborate with IT teams to ensure data infrastructure, data pipelines, and data storage systems are optimized for efficient data analysis.
7. Identify opportunities to leverage new data sources, tools, and technologies to enhance data analysis capabilities and improve business outcomes.
8. Stay up-to-date with industry trends, emerging technologies, and best practices in data analysis, and provide recommendations for continuous improvement.
9. Conduct regular performance evaluations, provide feedback, and support professional development of team members.
10. Collaborate with cross-functional teams, including business analysts, data scientists, and IT professionals, to integrate data analysis into business processes and decision-making.
Desired Candidate Profile
1. Bachelor’s degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science. A Master’s degree is a plus.
2. Proven experience (typically 4+ years) as a Data Analyst or similar role, including experience in data analysis, statistical modeling, and visualization.
3. Strong analytical skills with the ability to collect, organize, and analyze large, complex datasets using statistical software (e.g., Python, R, SQL).
4. Proficiency in data visualization tools (e.g., Tableau, Power BI) and experience creating insightful dashboards and reports.
5. Knowledge of machine learning algorithms and techniques is desirable.
6. Excellent problem-solving skills and the ability to translate business requirements into actionable data analysis strategies.
7. Excellent communication and presentation skills to effectively communicate complex data findings to non-technical stakeholders.
8. Strong attention to detail, accuracy, and the ability to work on multiple projects simultaneously.
9. Familiarity with data governance, data privacy, and regulatory compliance practices is a plus.
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