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BMC Senior BI Analyst- Tableau Expert India, Maharashtra 365102717
30.01.2025
Description and Requirements
CareerArc Code
About You:
- You like to develop, design, and deliver data visualization solutions that deliver sustained business value from our and associated solutions
- You enjoy working cross-functionally across Sales, Marketing, Operations, and IT organizations for supporting the customer success organization
- You’re a team player and believe in building synergies across BMC to create/continually evolve one integrated customer journey.
- You like to innovate, and have a passion for solving business problems, to continuously improve our quality of service
- You have a passion for development, and challenge yourself to learn new things
- You know how to have fun and connect with people.
Key Responsibility/Role Expectations:
The Senior BI Analyst supports senior leadership by providing data-driven insights and analytics, enabling informed decision-making, and driving strategic initiatives to enhance customer success and align with business objectives. You should be responsible to
- Design, develop, and maintain advanced and interactive Tableau dashboards to provide actionable insights into customer success metrics.
- Analyze customer behavior, trends, and performance metrics to identify actionable opportunities for improvement.
- Monitor key customer success indicators (e.g., retention, churn, satisfaction) and provide insights to drive enhanced customer engagement and satisfaction.
- Create visually compelling and interactive reports tailored for senior leadership to support data-driven strategic decision-making.
- Collaborate with cross-functional teams, including Customer Success, Product, and Support, to gather requirements and deliver tailored BI solutions.
- Integrate data from multiple sources (e.g., CRM systems like Salesforce, support tools, and internal databases) to create a unified view of performance.
- Provide data-driven recommendations to senior leadership to align customer success efforts with organizational objectives.
- Identify and report on key trends and anomalies in customer success data, proactively addressing potential challenges.
- Develop and implement automated workflows for reporting and analytics to enhance efficiency and reduce manual effort.
- Stay updated on Tableau and broader BI trends, implementing best practices in data visualization and analysis.
Professional Experience:
- Minimum of 7+ years of experience in Business Intelligence and data analysis.
- Expert proficiency in Tableau, with demonstrated ability to build advanced visualizations.
- Strong understanding of relational databases with expertise in advanced SQL writing.
- Proven ability to extract and analyze data from sources such as Snowflake, Excel, CSV, and text files.
- Proficient knowledge of Salesforce.com, with experience in CRM data analysis and integration.
- Advanced skills in Excel, PowerPoint, and Word for creating reports and presentations.
- Strong analytical skills to critically evaluate data, reconcile discrepancies, and ensure accuracy.
- Ability to translate user requirements into technical solutions and design effective BI implementations.
- Excellent organizational skills, with the ability to manage multiple complex projects in a fast-paced, dynamic environment.
- Self-motivated, detail-oriented, and able to deliver quality outcomes under tight deadlines.
- Strong communication and presentation skills to effectively collaborate with stakeholders, including senior leaders such as Sr. Directors and VPs.
- Demonstrated ability to influence and build long-term relationships with cross-functional teams and business partners.
- Experience mentoring and training team members on technical skills and BI best practices.
- Quick learner, adaptable to changing tools, environments, and priorities.
- Customer-oriented mindset, with a proven ability to partner with stakeholders to achieve shared business goals.
- Familiarity with programming languages like Python or R, cloud-based platforms like AWS are a plus.
- Basic understanding of machine learning concepts and predictive analytics is a bonus.
Education
- Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred).
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