Salesforce Engineer

Weekday (YC W21)

. Design, develop, and maintain CRM Analytics dashboards, lenses, datasets, recipes, and dataflows .

Posted 9/18/2026full-timeRemote • IndiaMid-LevelSenior💰 ₹1,000,000 - ₹2,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Salesforce Analytics, including the design and development of dashboards, reports, and dataflows, while ensuring data quality and compliance with reporting standards. Proficient in gathering requirements from stakeholders and translating them into actionable analytics solutions.

Highest-signal resume keywords

Salesforce Analytics DevelopmentCRM Analytics / Tableau CRMSOQL and SQL ProficiencySalesforce Data Model UnderstandingData Quality and Troubleshooting Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CRM Analytics DashboardsSalesforce Native ReportingDataflows and RecipesSOQLSAQLDimensional Data ModellingFormula FieldsRoll-Up SummariesData ClassificationSalesforce CPQ

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsStakeholder EngagementTraining and Support

Tools & Technologies

Salesforce APIsPower BIFivetranBoomiSalesforce DXGearsetCopadoApexLightning Web ComponentsFlow

Industry Keywords

Business IntelligenceData QualityReporting StandardsQuote-to-CashEnterprise Data Integrations

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

Design, develop, and maintain CRM Analytics dashboards, lenses, datasets, recipes, and dataflows
Build and optimize Salesforce native reports, custom report types, dynamic dashboards, filters, cross-filters, bucket fields, and summary formulas
Develop interactive analytics using SOQL, SAQL, bindings, filters, and faceting
Configure and validate Einstein Discovery / Prediction Builder models and monitor predictive scoring and refresh activities
Implement formula fields, roll-up summaries, and supporting Salesforce schema changes to ensure reporting accuracy at the source
Gather analytics requirements from Sales, Revenue Operations, Finance, Operations, and senior business stakeholders
Define and document metric definitions, calculation logic, data lineage, refresh schedules, and reporting standards
Identify and resolve Salesforce data-quality issues, including duplicates, inconsistent classifications, ownership gaps, territory issues, and inaccurate stage values
Reconcile Salesforce metrics with Finance and operational systems of record and investigate variances to root cause
Implement row-level and field-level security based on Salesforce sharing and visibility requirements
Apply data classification, access-control, customer-segment, and jurisdictional handling requirements to analytics assets
Manage analytics changes through source control, sandbox testing, documented validation, and controlled production releases
Maintain an inventory of analytics assets and retire redundant, unused, or outdated reports and dashboards
Provide Tier 2/3 support for dashboard issues, dataflow failures, reporting defects, and performance problems
Train business users on self-service reporting and create guidance for recurring analytics requirements
Evaluate Salesforce seasonal releases for analytics-impacting changes and regression-test critical reporting assets
Collaborate with enterprise data and BI teams when Salesforce data is integrated into downstream platforms and reporting environments

Requirements

What you’ll need

5+ years of experience in Salesforce analytics, reporting, business intelligence, or related data roles
3–5 years of hands-on Salesforce reporting and analytics development, including at least 2 years with CRM Analytics / Tableau CRM
Strong experience building CRM Analytics dataflows, recipes, datasets, dashboards, lenses, bindings, and refresh schedules
Proficiency with Salesforce native reporting, including custom report types, cross-filters, bucket fields, summary formulas, and dashboard filters
Strong understanding of the Salesforce data model and sharing/visibility model, including org-wide defaults, role hierarchy, sharing rules, and field-level security
Strong proficiency in SOQL and SQL, with working knowledge of SAQL or comparable analytics query languages
Good understanding of dimensional data modelling concepts, including facts, dimensions, and data grain
Proven ability to gather requirements directly from business stakeholders and translate business questions into precise analytics solutions
Strong ability to explain metric definitions, reporting logic, and data variances to both technical and non-technical stakeholders
Experience working in controlled Salesforce environments using sandboxes, documented testing, source control, and scheduled releases
Strong analytical, problem-solving, data-quality, and troubleshooting skills
Experience with Salesforce CPQ, Revenue Cloud, quote-to-cash, or enterprise data integrations is an advantage
Familiarity with Fivetran, Boomi, Salesforce APIs, Power BI, Salesforce DX, Gearset, or Copado is desirable
Experience with Apex, Lightning Web Components, Flow, Tableau, or Salesforce Data 360 is a plus
Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related discipline, or equivalent practical experience