Data Analytics Analyst
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
OperationsJob 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.
The Professional Services Analytics team partners closely with the Professional Services business within Salesforce to drive data-informed decision-making. We are looking for a curious an Data Analytics Analyst to join our Analytics team someone who thrives on turning complex, raw data into clear, actionable insights, compelling dashboards, and meaningful business stories. If you're someone who gets genuinely excited about untangling messy data and turning it into something clear, visual, and useful, we'd love to have you on the team.
RESPONSIBILITIES
* Use Tableau to create interactive, intuitive, and actionable visualizations.
* Partner cross-functionally with business and operational teams to understand functional requirements, translate them into analytical solutions, and communicate insights clearly to both technical and non-technical stakeholders.
* Develop a deep understanding of enterprise data and operational details of the business (e.g., key datasets, business drivers/KPIs).
* Assist in wrangling data sets using SQL, Snowflake, and Salesforce to discover patterns, correlate findings, and measure the impact on business and key metrics.
* Know how to extract, manipulate, and transform data. Basic understanding of data modeling and relational databases.
* Automate manual reporting processes, develop data warehouse catalog, and improve dataset quality. Support the data engineering team in creating and maintaining data pipelines.
* Maintain data accuracy, perform audits, and contribute to robust data solutions.
BASIC QUALIFICATIONS:
* Strong hands-on knowledge of Tableau, SQL, and Snowflake.
* Good business acumen with the ability to quickly grasp functional concepts and apply them to data and analytics work.
* Familiarity with Tableau Prep Builder and Airflow is a plus.
* Knowledge of Salesforce product and platform features, capabilities.
* Ability to quickly grasp technological and business concepts.
* Nice to have: knowledge of Python programming language.
PREFERRED QUALIFICATIONS:
* 2-5 years of experience in analytics, reporting, data analysis.
* Demonstrated ability to work cross-functionally and communicate insights to both technical and non-technical stakeholders.
* Background in professional services or SaaS industry is a plus.
* Hands-on experience with any of the following tools: Tableau, Snowflake, SQL, Relational databases, Salesforce, or any other analytics/data science tool.
* Knowledge of statistics and experience using statistical packages for analyzing datasets.
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 andbe your best, and our AI agents accelerate your impact so you cando 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 need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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.