Data Analyst

1 week ago


Chandigarh, Chandigarh, India Basware Full time

Unlock Customer Value with Data-Driven Insights

At Basware, we're 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.

We're looking for a skilled Data Analyst to join our team and play a crucial role in driving insights from customer data. As a key member of our team, you'll analyze large datasets, identify trends, and provide 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.

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.

Qualification:

  • M.Tech/B.Tech/MCA - in Statistics, Mathematics, Computer Science

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