Data Analytics and AI Solutions Lead - Salesforce - Remote - Global
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Job Description
The Cloud Success Data Intelligence team operates within the Salesforce Customer Success Group. This team is dedicated to harnessing data-driven insights regarding customer usage, engagement, technical satisfaction scores and other industry-standard KPIs. These valuable insights empower customers to leverage the world's premier CRM platform, while leaders in the Customer Success Group use this intelligence to drive process enhancements for an improved customer experience. Data analysis builds on the foundation of data engineering within the Cloud Success Data Intelligence team, transforming curated and automated datasets into meaningful insights that drive informed decision-making and business outcomes. We are looking for a Senior Data Analytics with strong AI tool expertise who can combine advanced analytics and AI-driven problem solving to accelerate data-led decision making. The ideal candidate will actively leverage modern AI tools, automation platforms and intelligent analytics solutions to improve productivity, insight generation and business outcomes. You will serve as a Data & AI enabler for the organization, helping teams operationalize data and adopt AI capabilities responsibly and effectively. Key Responsibilities include driving adoption of AI-powered tools, creating dashboards, delivering insights, evaluating AI technologies, ensuring data quality and governance, and fostering cross-functional collaboration. Required qualifications include 8+ years of experience in Business Analytics, hands-on experience with AI tools, expertise in SQL and Python, and strong communication skills. The role is based in Hyderabad, India, and is a full-time position.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 34 |
| Espoo, Finland | 4 |
| Helsinki, Finland | 3 |
| Remote - Finland | 2 |
| Remote within Finland | 2 |
| Oslo, Norway | 1 |
| Finland | 1 |
| Role type | Active listings |
|---|---|
| Account Executive | 11 |
| Jobs | 2 |
| Sales Representative | 2 |
| Software Engineering | 2 |
| Customer Success Manager | 2 |
| Build Systems Engineer | 1 |
| Salesforce Developer | 1 |
| Recruiting Analytics Intern | 1 |
| FinOps Practitioner | 1 |
| Sales Executive | 1 |
| Manager | 1 |
| Success Guide | 1 |
| Release Engineer | 1 |
| Saved jobs | 1 |
| Sales Compensation | 1 |
| Support Engineer | 1 |
| Product Manager | 1 |
| Customer Success | 1 |
| Strategy & Operations | 1 |
| Data Foundation Manager | 1 |
| Finance Data Strategy & Stewardship | 1 |
| Global Compensation Strategy & Design | 1 |
| Associate Manager | 1 |
| Engineering Strategy & Operations | 1 |
| Human Resources Specialist | 1 |
| Strategic Account Executive | 1 |
| Software Engineer | 1 |
| Salesforce Senior Technical Architect | 1 |
| Consumption Value Delivery | 1 |
| Mid-Market Account Executive | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 29 |
| Manager | 3 |
| Mid-level | 1 |
| Senior | 1 |
Salesforce appears in 47 indexed job postings in JobCrawls' Finland dataset since July 2022. In that historical index, the strongest location signals for this employer are Remote - Global, Espoo, Finland, and Helsinki, Finland.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Drive adoption of AI-powered tools, copilots and automation platforms to enhance analytics and reporting workflows.
- Create intuitive dashboards, visualizations, and self-service analytics solutions.
- Lead end-to-end projects from data discovery and modeling to actionable recommendations.
- Evaluate emerging AI and data technologies, recommending solutions.
- Ensure data quality, governance, and responsible AI practices.
- Foster cross-functional collaboration.
Requirements
- 8+ years of experience in Business Analytics roles.
- Hands-on experience with AI tools, Generative AI platforms or AI-assisted development environments.
- Expertise in SQL and Python (or equivalent programming language).
- Ability to translate complex data into insights through visualization and storytelling.
- Strong analytical reasoning, business problem-solving and stakeholder engagement skills.
- Excellent communication and executive presentation skills.
Education Level
None required