Responsibilities

• Data Analysis and Insights:
• Conduct in-depth data analysis to identify trends, patterns, and opportunities within customer service operations
• Develop and implement data-driven strategies to optimize processes and improve efficiency
• Utilize advanced data analysis techniques, such as cluster analysis, regression analysis, and statistical modeling
• Monitor key performance indicators (KPIs) and generate regular reports to track progress and identify areas for improvement
• Team Leadership:
• Lead and mentor a team of data analysts, fostering a collaborative and innovative work environment
• Assign tasks, provide guidance, and review team members’ work to ensure accuracy and quality
• Develop and implement data analysis best practices and standards
• Project Management:
• Manage end-to-end data analysis projects, from initiation to completion
• Collaborate with cross-functional teams to gather requirements, define project scope, and deliver timely results
• Prioritize tasks and allocate resources effectively to meet project deadlines
• Data Visualization and Reporting:
• Create clear and compelling data visualizations, including dashboards and reports, to communicate insights to stakeholders
• Utilize data visualization tools like Datawind to generate interactive and informative reports
• Strategic Partnerships:
• Work closely with business leaders to understand their data needs and provide actionable recommendations
• Collaborate with product and engineering teams to identify opportunities for data-driven product improvements

Requirements:

• Technical Skills:
• Proficiency in SQL, Python, or other programming languages
• Strong understanding of data warehousing and data modelling concepts
• Expertise in data visualization tools (e.g., Tableau, Power BI).Advanced Excel skills, including macro development
• Soft Skills:
• Excellent analytical and problem-solving skills
• Strong communication and presentation skills
• Ability to work independently and as part of a team
• Detail-oriented with a focus on accuracy
• Experience:
• 3+ years of experience in data analysis or business intelligence.
• 3+ years of experience leading teams.
• Experience in the financial services or technology industry is preferred.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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