Salesforce Analytics Developer
New
W
Weekday AISalesforce analytics
Remote (India), IndiaFull-TimeMiddle
Salary1,200,000 - 2,000,000 INR per year
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Job Details
- Experience
- 3–5 years of experience building reporting and analytics solutions on the Salesforce platform; at least 2 years of hands-on experience with CRM Analytics / Tableau CRM.
- Required Skills
- SQL
Requirements
- Have 3–5 years of experience building reporting and analytics solutions on the Salesforce platform.
- Have at least 2 years of hands-on experience with CRM Analytics / Tableau CRM, including datasets, dashboards, dataflows or recipes, bindings, filters, and interactive analytics.
- Demonstrate strong proficiency in Salesforce native reporting, including custom report types, cross-filters, bucket fields, summary formulas, and dashboard filters.
- Understand the Salesforce data model and sharing/visibility model, including org-wide defaults, role hierarchy, sharing rules, and field-level security.
- Be proficient in SOQL and SQL, with working knowledge of SAQL or comparable analytics query languages.
- Understand dimensional data modeling concepts, including facts, dimensions, and data grain.
- Be able to gather business requirements and translate questions into analytical solutions.
- Have experience with controlled development environments involving sandboxes, testing, source control, and scheduled production releases.
- Understand data quality, reconciliation, governance, security, and reporting accuracy.
- Hold a bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related discipline, or have equivalent practical experience.
Responsibilities
- Build and maintain CRM Analytics dashboards, lenses, datasets, recipes, and dataflows.
- Develop and optimize Salesforce native reports, custom report types, dynamic dashboards, filters, and reporting structures.
- Write and optimize SOQL and SAQL queries to support interactive analytics.
- Configure and validate Einstein Discovery and Prediction Builder models where predictive insights provide measurable business value.
- Gather analytics requirements from Sales, Revenue Operations, Finance, Operations, and leadership stakeholders, and document metrics and reporting standards.
- Identify Salesforce data-quality issues and reconcile Salesforce metrics with finance, operational, and other systems of record.
- Implement row-level and field-level security across analytics assets.
- Manage analytics changes through source control, sandbox testing, validation, and controlled production releases.
- Provide tier-2 and tier-3 support for dashboard defects, dataflow failures, reporting issues, and performance problems.
- Enable business users through self-service reporting guidance, training, and documentation.
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