Job
Description
BU Description: Our Analytics and Automation team is at the forefront of leveraging data-driven insights to enhance business performance across sales, marketing, product development, and VSE. We specialize in harnessing advanced analytics and automation techniques to provide actionable intelligence, drive efficiency, and foster innovation. Our commitment to excellence ensures that we deliver impactful solutions that propel our organization's strategic goals forward. 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).
