Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Title: Customer Value Data Analyst
Company Overview
We are a leading financial automation company committed to transforming how businesses manage their finances. Our innovative solutions harness cutting-edge technologies to streamline financial processes, enabling organizations to make smarter, data-driven decisions.
About the Customer Success Team
The Basware Customer Success team is a global organization focused on delivering high-quality service and exceptional customer experiences. We collaborate closely with our customers to create joint success plans, providing practical guidance that helps them achieve their goals and drive positive business outcomes.
Our team emphasizes demonstrating return on investment and serves as trusted advisors. We aim not just to satisfy our customers but to ensure they are delighted and maximizing the value of our offerings. By monitoring product adoption and health, we assist customers in effectively utilizing our solutions, which is vital for retention and expanding their usage over time. In essence, our Customer Success team fosters healthy, mutually beneficial relationships with our clients.
Role Overview
As a Customer Value Data Analyst, you will be instrumental in deriving insights from customer data to enhance satisfaction, loyalty, and overall value. Your responsibilities will include analyzing large datasets, identifying trends, and providing actionable recommendations to optimize customer interactions and improve business outcomes.
Key Responsibilities
- Data Analysis: Analyze customer data to identify patterns, trends, and correlations that impact customer value.
- Predictive Modeling: Develop and maintain predictive models to forecast customer behavior, including churn, lifetime value, and cross-sell opportunities.
- Collaboration: Work with cross-functional teams to translate data insights into actionable strategies and initiatives.
- Performance Monitoring: Track key performance indicators (KPIs) related to customer value and recommend adjustments to enhance outcomes.
- Experimentation: Conduct A/B tests and experiments to optimize customer experiences and boost engagement.
- Reporting: Generate reports and presentations to communicate findings and recommendations to stakeholders at all levels.
- Industry Awareness: Stay updated on industry trends and best practices in customer analytics and data science.
Skills & Requirements
Experience:
- 5+ years in data analysis or related roles, preferably in a customer-centric environment.
Technical Skills:
- 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.
Analytical Skills:
- Strong analytical and problem-solving abilities, with a talent for translating complex data into actionable insights.
Communication Skills:
- Excellent communication skills, capable of presenting technical information to non-technical audiences.
Work Ethic:
- Self-motivated and able to work independently, as well as collaboratively within a team environment.
Preferred Qualifications:
- Prior experience with machine learning techniques and predictive modeling is a plus.
Educational Qualification:
- M.Tech, B.Tech, or MCA in Statistics, Mathematics, or Computer Science.
Join us to make a significant impact on customer satisfaction and drive business success through data insights!
