Salesforce Data Analyst Job Openings 2025 – Hyderabad

Qualifications

Desired Skills And Experience

• 2-4 years of experience in Business Intelligence and/or data analytics/visualization role.
• Expert knowledge on data visualization tools including Tableau. Familiarity with different approaches of metrics/dashboards (e.g: executive, operational, support, data quality, performance, risk, behavioral, personalized etc.)
• Excellent analytical and problem-solving abilities. Good understanding of SQL for querying and data preparation.
• Understands and adapts to the working style of cross functional and global stakeholders/team members in an always evolving environment. Effectively communicates(written and verbal) with them to move projects forward.
• Being active in the Tableau community and/or having an established Tableau Public portfolio is a plus. Familiarity with Salesforce Sales Cloud, Salesforce Revenue Cloud and the lead-to-cash process is a plus.

Role Overview:

Salesforce team is focused on measuring the impact of GBGA initiatives on the wider Salesforce business. Salesforce provides data-driven decision support to our partner stakeholders to ensure we are focusing our development efforts on the most impactful areas.

Salesforce measures the adoption of the functionality deployed by GBGA and provides real-time support to the business and change enablement teams to ensure successful project rollouts. Salesforce provides visibility to top leaders about the impact that these initiatives have made to the business. We partner with business leaders to define, benchmark, and visualize key process and outcome measures for their teams.

Key Responsibilities:

• A hands-on analyst: Design, build and manage multi-source dashboards that generate actionable insights to serve specific purposes and cater to the different needs of stakeholders
• Collaborate closely with business stakeholders to understand their objectives and translate them into clear, insightful, and visually compelling dashboards that support strategic decision-making. .
• Translate complex datasets into engaging and persuasive stories to communicate key insights to various stakeholders. Develop narratives that resonate with both technical and non-technical audiences.
• Ensure visualizations adhere to best practices for data accuracy, user experience and performance.
• Stay informed about the latest trends and advancements in analytics tools and techniques, with a keen interest in applying them to uncover or demonstrate business value.