Data Analytics Senior Analyst
Salesforce · Los Angeles, CA
- On site
- Full-time
- $125,000 / year
- Los Angeles, CA
Job highlights
- Drive efficiency in AMER Business Development with data.
- Increase Annual Contract Value through technology and data.
- Model ROI and quantify agentic transformation impact.
- Optimize Salesforce technology for BDR motions.
- Deliver data-driven solutions for scalable outcomes.
About the role
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.
Job Details
As a Senior Data Analytics Analyst, you will drive scalable solutions to improve efficiency and productivity across the AMER Business Development organization, with a focus on increasing Annual Contract Value (ACV) through technology, data, and process optimization.You will leverage your technical background to model ROI and quantify the impact of agentic transformation, serving as the AMER BDR point of view with Product and Technology teams to shape automated, agentic solutions aligned to business needs.
In this role, you will optimize technology usage within Salesforce to support outbound BDR motions, identify challenges, and deliver data-driven solutions that translate business problems into scalable outcomes.
Responsibilities
- Strong experience using Python to interact with SQL databases (writing optimized queries, handling large datasets) and performing advanced data manipulation with Pandas DataFrames (filtering, grouping, merging, reshaping)
- Experience automating data processes and workflows using Python, including integrating data from APIs and SQL sources, scheduling jobs, and building reliable, repeatable pipelines for data ingestion and transformation
- Write efficient SQL queries (joins, aggregations, CTEs) to extract, manipulate, and analyze large datasets to support business reporting and decision-making
- Build and maintain Tableau dashboards to visualize key performance metrics and operational insights
- Partner with business stakeholders to translate requirements into data models, queries, and dashboards
- Ensure data accuracy and integrity through validation, QA processes, and ongoing monitoring
- Optimize existing dashboards and queries for performance and usability
- Maintain documentation for logic and dashboard definitions to ensure transparency and consistency
- Support ad hoc data requests and analysis to inform strategic initiatives and business priorities
- Partner with Sales Leadership and cross-functional stakeholders to define business requirements, translate them into data solutions, and drive alignment on strategic priorities
- Create and deliver executive-level presentations and recurring business reviews, synthesizing complex data into concise, compelling narratives for leadership audiences
Requirements
- 2–3 years of experience in sales analytics, business intelligence, or a related field, with a strong foundation in SQL, Python, and Tableau
- Experience in quantitative analysis, leveraging tools like Google Sheets, and applying strong logical reasoning to solve complex business problems.
- Excellent communication and presentation skills, with experience delivering insights to both technical and executive audiences
- Strong business acumen with the ability to anticipate stakeholder needs, identify opportunities, and solve complex operational problems
- Demonstrated ability to partner cross-functionally and influence stakeholders at all levels in a fast-paced environment
- Strong analytical and problem-solving skills, including process optimization, root cause analysis, and driving scalable improvements and automation
- Highly organized with strong project management capabilities, able to manage multiple priorities and execute with urgency
- Detail-oriented and adaptable, with a proven ability to learn new tools, technologies, and business models quickly
- Experience with Salesforce CRM (Admin certification a plus), including supporting system improvements and troubleshooting operational issues
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 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.
Key skills/competency
- Data Analytics
- Senior Analyst
- Python
- SQL
- Tableau
- Salesforce CRM
- Business Intelligence
- Quantitative Analysis
- Process Optimization
- Data Visualization
Skills & topics
- Data Analytics
- Senior Analyst
- Salesforce
- SQL
- Python
- Tableau
- Business Intelligence
- Quantitative Analysis
- Sales Analytics
- Data Visualization
How to get hired
- Tailor your resume: Highlight SQL, Python, Tableau, and sales analytics experience relevant to Salesforce's needs.
- Showcase your impact: Quantify achievements in previous roles, especially those involving process optimization or ROI modeling.
- Prepare for interviews: Practice explaining complex data insights and business problems clearly to diverse audiences.
- Understand Salesforce culture: Research their values, AI focus, and 'Trailblazer' ethos to align your application.
- Network and inquire: Reach out to hiring managers via email at *****@salesforce.com for role-specific insights.
Technical preparation
Master SQL query writing and optimization.,Practice advanced Pandas DataFrame manipulations.,Build and present Tableau dashboards effectively.,Automate data processes using Python scripts.
Behavioral questions
Describe a complex problem you solved with data.,How do you translate business needs into data models?,Share an experience influencing stakeholders with insights.,How do you ensure data accuracy and integrity?
Frequently asked questions
- What are the key technical skills required for the Data Analytics Senior Analyst role at Salesforce?
- The Data Analytics Senior Analyst role at Salesforce requires strong proficiency in SQL for database interaction and data extraction, Python for advanced data manipulation with Pandas and automating processes, and Tableau for building and maintaining dashboards. Experience with Google Sheets and quantitative analysis is also important.
- How important is experience with Salesforce CRM for this role?
- Experience with Salesforce CRM is highly beneficial for the Data Analytics Senior Analyst position. An Admin certification is a plus, and the ability to support system improvements and troubleshoot operational issues within Salesforce is expected.
- What kind of quantitative analysis experience is Salesforce looking for in this role?
- Salesforce seeks candidates with experience in quantitative analysis, leveraging tools like Google Sheets, and applying strong logical reasoning to solve complex business problems. This includes skills in process optimization, root cause analysis, and driving scalable improvements and automation.
- Can you provide an example of a typical project for a Senior Data Analytics Analyst at Salesforce?
- A typical project involves driving scalable solutions to improve efficiency and productivity within the AMER Business Development organization. This could include leveraging data to increase Annual Contract Value (ACV) by optimizing technology usage, modeling ROI for agentic transformation, or building Tableau dashboards to visualize key performance metrics.
- What are the communication and presentation expectations for this role?
- Excellent communication and presentation skills are crucial. You'll be expected to deliver insights to both technical and executive audiences, create executive-level presentations, and conduct recurring business reviews, synthesizing complex data into clear, compelling narratives.
- How does Salesforce use AI in its recruiting process for roles like Senior Data Analytics Analyst?
- Salesforce utilizes AI tools to assist recruiters in assessing resumes and qualifications. However, humans always make the final selection and hiring decisions. You can find more details about data usage and opt-out options in their Candidate Privacy Statement.
- What is the typical experience level for a Senior Data Analytics Analyst at Salesforce?
- The role typically requires 2-3 years of experience in sales analytics, business intelligence, or a related field. Strong foundational skills in SQL, Python, and Tableau are essential.
- Does Salesforce consider candidates with arrest and conviction records for the Senior Data Analytics Analyst position?
- Yes, Salesforce will consider qualified applicants with arrest and conviction records for employment, in accordance with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.