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Data Analyst
1 month ago
Unlock Customer Value with Data-Driven Insights
We are a leading financial automation company dedicated to transforming the way businesses manage their finances. Our innovative solutions leverage cutting-edge technologies to streamline financial processes and empower organizations to make smarter, data-driven decisions.
The Basware Customer Success team is a global organization ensuring high-quality delivery and customer experience. Our team works closely with customers to create joint success plans, offering practical guidance to help them achieve their goals and drive business outcomes.
As a key member of our team, you will play a crucial role in driving insights from customer data to enhance customer satisfaction, loyalty, and overall value. You will be responsible for analyzing large datasets, identifying trends, and providing actionable recommendations to optimize customer interactions and improve business outcomes.
Key Responsibilities:
- Analyze customer data to identify patterns, trends, and correlations that impact customer value.
- Develop and maintain predictive models to forecast customer behavior, including churn, lifetime value, and cross-sell opportunities.
- Collaborate with cross-functional teams to translate data insights into actionable strategies and initiatives.
- Monitor key performance indicators (KPIs) related to customer value and recommend adjustments to improve outcomes.
- Conduct A/B tests and experiments to optimize customer experiences and increase engagement.
- Generate reports and presentations to communicate findings and recommendations to stakeholders at all levels.
- Stay updated on industry trends and best practices in customer analytics and data science.
Requirements:
- 5+ years of experience in data analysis or related roles, preferably in a customer-centric environment.
- Proficiency in SQL, Python, R, or other programming languages used for data analysis.
- Experience with data visualization tools such as Tableau, AWS QuickSight, or Power BI.
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
- Excellent communication skills with the ability to present technical information to non-technical audiences.
- Self-motivated and able to work independently as well as collaboratively in a team environment.
- Prior experience with machine learning techniques and predictive modeling is a plus.
Qualification:
- M.Tech/B.Tech/MCA - in Statistics, Mathematics, Computer Science