Data Analytics Senior Analyst
Salesforce · New York, NY
- On site
- Full-time
- $150,300 / year
- New York, NY
Job highlights
- Drive scalable solutions for AMER Business Development.
- Increase Annual Contract Value (ACV) through data.
- Model ROI and quantify agentic transformation impact.
- Optimize technology usage and deliver data solutions.
- Partner with stakeholders for business requirements.
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.Key skills/competency
- Python
- SQL
- Tableau
- Data Analysis
- Business Intelligence
- Sales Analytics
- Data Modeling
- Data Manipulation
- Data Visualization
- Process Optimization
Skills & topics
- Data Analytics
- Senior Analyst
- Salesforce
- Python
- SQL
- Tableau
- Business Intelligence
- Sales Analytics
- Data Modeling
- Data Visualization
- Process Optimization
- Quantitative Analysis
- Agentic Transformation
- CRM Analytics
- AMER Business Development
How to get hired
- Tailor your resume: Highlight your experience with SQL, Python, and Tableau, and quantify achievements in sales analytics and business intelligence.
- Showcase your skills: Emphasize your ability to translate business problems into data-driven solutions and your experience with process optimization and automation.
- Prepare for interviews: Be ready to discuss your quantitative analysis skills, business acumen, and experience presenting insights to executive audiences.
- Understand Salesforce: Research Salesforce's AI initiatives, CRM capabilities, and core values to align your application with their mission.
- Network and connect: Engage with Salesforce employees on LinkedIn to gain insights into the company culture and the Senior Data Analytics Analyst role.
Technical preparation
Master Python for SQL and Pandas.,Practice writing complex SQL queries.,Build and present Tableau dashboards.,Familiarize with Salesforce CRM basics.
Behavioral questions
Describe a complex business problem solved with data.,How do you influence cross-functional stakeholders?,Share an example of process optimization success.,How do you handle urgent ad hoc requests?
Frequently asked questions
- What are the key technical skills required for the Senior Data Analytics Analyst role at Salesforce?
- The Senior Data Analytics Analyst role at Salesforce requires strong proficiency in Python for SQL database interaction and data manipulation with Pandas. You'll also need to write efficient SQL queries for data extraction and analysis, and build and maintain dashboards using Tableau for visualizing key performance metrics.
- 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 and evaluating resumes and qualifications for roles like the Senior Data Analytics Analyst. However, human decision-makers always make the final candidate selection and hiring decisions. You can find more details in their Candidate Privacy Statement.
- What kind of business problems does a Senior Data Analytics Analyst solve at Salesforce?
- A Senior Data Analytics Analyst at Salesforce focuses on driving scalable solutions to enhance efficiency and productivity within the AMER Business Development organization. This includes increasing Annual Contract Value (ACV) through technology, data, and process optimization, and shaping automated, agentic solutions aligned with business needs.
- Is experience with Salesforce CRM a requirement for the Senior Data Analytics Analyst position?
- While not strictly mandatory, experience with Salesforce CRM is highly beneficial for the Senior Data Analytics Analyst role. An Admin certification is a plus, as the role involves supporting system improvements and troubleshooting operational issues within the Salesforce ecosystem.
- What are the communication and presentation expectations for this Salesforce role?
- Excellent communication and presentation skills are crucial. The Senior Data Analytics Analyst is expected to deliver insights to both technical and executive audiences, create executive-level presentations, and conduct recurring business reviews, synthesizing complex data into clear and compelling narratives.
- What is the typical career progression for a Senior Data Analytics Analyst at Salesforce?
- While specific career paths vary, a Senior Data Analytics Analyst at Salesforce can progress into more specialized data science roles, leadership positions within analytics teams, or move into strategic business operations roles. The company's focus on AI and agentic transformation offers numerous opportunities for growth.