Senior Data Analyst/Data Scientist

Job Description To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place Agentforce is the future of AI, and you are the future of Salesforce. About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you've come to the right place. The CSG Professional Services Analytics team supports the Professional Services business within the Customer Success Group (CSG). We are seeking a talented Senior Data Analytics Analyst & Data Scientist for the Sales Analytics team. You will uncover insights from complex data sets, build compelling visualizations in Tableau, and apply data science techniques to solve real business problems. You will contribute to our efforts in transforming complex data into clear and actionable insights and dashboards for our Professional Services sales team. Responsibilities - Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations - Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels - Apply advanced data science techniques to analyze pre-defined KPIs by identifying what's working, what's not, and opportunities for improvement - Develop a deep understanding of enterprise data and operational details of the business (e.g., key datasets, business drivers/KPIs) - Build predictive analytics models to forecast trends and early warning signals in key business areas - Assist in wrangling data sets using Salesforce, SQL, and Tableau to discover patterns, correlate findings, and measure the impact on the business and key metrics - Partner with and consult Professional Services sellers and sales leadership to provide accurate data/information and make recommendations for how to run the business - Use Tableau & SQL to create interactive and intuitive visualizations - Automate manual reporting processes and improve data quality Basic Qualifications: - 4+ years of experience in data science, preferably in enterprise software - 4+ years of experience in analytics, reporting, data analysis - Basic understanding of data modeling and relational databases like Snowflake - Experience deploying, monitoring, and maintaining data science products in cloud environments - Good understanding of the data science project lifecycle and associated challenges at each stage of development - Expertise in at least one programming language for data science (e.g., Python, R) - Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop) - Hands-on knowledge of SQL, Tableau, and Google Sheets/Excel - Strong communication skills. Able to translate complex technical results into clear, actionable insights - Strong collaboration skills and ability to work effectively across teams - Ability to quickly grasp technological and business concepts Preferred Qualifications: - Bachelor's degree (or equivalent) in a quantitative field - Background in professional services or SaaS industry - Knowledge of Salesforce product, platform features, and capabilities - Knowledge of statistics and experience using statistical packages for analyzing datasets - Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). - Sales/GTM knowledge Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what's possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.