Analytics Engineer at Salesforce – India - Hyderabad | Jobyssey

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

Software Engineering

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.

The Cloud Success Insights team powers decisions and applications across Salesforce supporting teams in, Customer Support, Digital Success, Training, Certifications, Success Guides and Architects teams, we are making a significant strides in becoming a truly Data-Driven Enterprise — one built on trusted, governed golden data assets, world-class self-serve capabilities, and AI-ready data infrastructure

Our Team owns the vision, strategy, and execution of our internal data and insights product portfolio, with focus on Customer Success. This team partners deeply with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver the data products that our customer success teams rely on every day to drive product adoption, customer satisfaction and reduce attrition. Our products span data pipelines, canonical datasets, dashboards, APIs, ML models, and self-serve frameworks that power analytics, AI, and product decision-making at scale

The data product leaders in the team bring both strategic vision and operational depth — someone to engage credibly with C-suite stakeholders, inspire a high-performing team, and drive a complex, multi-workstream enterprise initiative from vision to measurable impact.

Roles and Responsibilities

Champion the development of canonical, single-source-of-truth golden data assets that serve Customer Success teams across, Customer Support, Digital Success, Training, Certifications, Success Guides and Architects, breaking down siloes and cultivating a common language across metrics for our product portfolio
Build self-serve data capabilities that empower users to access, explore, and act on trusted data with minimal friction
Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
Own the target setting process and success metrics for the CS portfolio, using data to demonstrate impact, ROI and continuously raise the bar
Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
Influence external product roadmap with best internal practices through effective storytelling, clear documentation, enablement programs, and change management
Data Instrumentation & Strategy: Defining what data needs to be collected to measure product success.
Data Governance & Ethics: Managing data privacy (GDPR/CCPA) and ensuring the ethical use of AI/ML models.
Defining "North Star" Metrics: Moving beyond vanity metrics to find the data points that actually correlate with long-term growth.

Qualifications

Education & Experience

Bachelor’s or Master’s degree in Computer Science, AI, Information Technology, or related fields.
5-8 years of proven experience as a
- Data Analytics and BI Engineer
- Product manager

Technical Expertise

Strong knowledge of Advanced SQL, Statistical Literacy, and agentic AI skills development.
Familiarity with the Salesforce ecosystem
Proficiency with SQL(Snowflake), Python, Tableau and other BI tools
Skilled in version control (Git) and CI/CD pipelines for production deployment.

Analytical Skills

Ability to translate complex AI and Data research into actionable engineering solutions.
Proficiency in finding insights and building predictive tools and visualizations for story telling
Understanding probability distributions, hypothesis testing, and "p-values." You need to know if a spike in a no. is a genuine trend or just statistical noise.
Strong problem-solving skills and the ability to think strategically about emerging technologies.

The "Modern" Analyst Skill (AI Literacy)
Our modern analyst knows how to use AI as a force multiplier:

Augmented Analytics: Using AI tools - Claude Code, Gemini, etc.. - to automate repetitive cleaning tasks or to spot anomalies in massive datasets that a human might miss.
Prompt Engineering for Data: Using LLMs to help write complex SQL queries or debug Python scripts and create self serve tools that create a WOW factor for our stakeholder teams

Leadership skills

Exceptional communication and executive presence, with the ability to translate complex technical strategies into compelling narratives for C-suite audiences
Proven ability to define and execute a vision for trusted, governed data assets and scalable self-serve data capabilities
Experience building and scaling self-serve analytics and data enablement programs
Experience partnering with and influencing partner organizations across the company at the leadership level
Ability to operate effectively in fast-paced, ambiguous environments, balancing long-term strategic thinking

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.

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.

Explore more jobs