Senior Bi Analyst- Tableau Expert jobs at Bmc in India

• 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.

• 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.

• 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.

• Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred).

To ensure you’re set up for success, you will bring the following skillset & experience:

• Design and develop platform solution based on best practices and web standards.
• Participate in all aspects of product development, from requirements analysis to product release.
• Lead features and participate in architecture and design reviews.
• Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment.
• You have strong diagnostics, debugging, and troubleshooting skills.
• Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations.
• Provides complete documentation in the form of commented code, problem status information, and design documents.
• Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors.
• Self-learner, flexible and able to work in a multi-tasked and dynamic environment.
• Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences.To ensure you’re set up for success, you will bring the following skillset & experience:You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading.

• Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform.
• You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript.
• You have knowledge and experience with build tools such as Gradle and Maven.
• Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP).
• You are familiar with modern version control system such as Git.
• Strong knowledge of statistical analysis, data mining, and machine learning techniques.
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of SQL for data manipulation
• Great communication skills, ability to explain predictive analytics to non-technical audience.
• Proficiency in data exploration techniques and tools