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Salesforce Data Analytics Consultant
Genisis Technology Solutions • Maryland, US • On-site
$40 - $60 / HOUR
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Posted on: 19th March, 2025
Employment Type: FULLTIME
Job Description
Title: Salesforce Data Analytics Consultant Location: Maryland or Virginia or Dallas, TX (Hybrid) Key Responsibilities:
• Ensure data reliability, accuracy, and provide strategic value within Salesforce CRM and Marketing Cloud.
• Leverage Marketing Cloud Journey and Campaign data to enhance Marketing Campaign Insights.
• Enforce data governance by resolving inconsistencies across platforms.
• Optimize dataflows and queries for better reporting efficiency.
• Build real-time, interactive Salesforce CRM Analytics (Einstein Analytics) dashboards.
• Analyze Marketing Cloud Journey and campaign performance.
• Utilize SAQL, SOQL, and JSON for advanced data modeling.
• Automate reporting with scheduled refreshes and predictive analytics.
• Work with teams to define KPIs and reporting needs.
• Train users on self-service reporting and data best practices.
• Align analytics with marketing, sales, and operations.
• Stay updated on Salesforce innovations and AI capabilities.
• Gather business requirements and provide training to end users.
Experience:
• 3+ years in Salesforce Analytics, BI, or Data Consulting Salesforce Certified CRM Analytics & Discovery Consultant Strong understanding of Salesforce data models, security, and governance Proficiency in SAQL, SOQL, JSON, and declarative reporting tools Hands-on experience with ETL tools, API integrations, and middleware
(Preferred):
• Experience with Salesforce Marketing Cloud, Journey Analytics, & Campaign Reporting Familiarity with Education Cloud, Experience Cloud, Sales & Service Cloud Additional Tools
(Nice to Have):
• Power BI, Tableau, SQL, and Python experience is a plus
Job Types: Full-time, Contract
Pay: $40.00 - $60.00 per hour
Expected hours: 40 per week
Schedule:
• 8 hour shift
• Monday to Friday
Experience:
• Salesforce: 4 years (Required)
• Salesforce Data Analytics: 3 years (Required)
• Salesforce Marketing Cloud: 1 year (Required)
• Salesforce CRM Analytics (Einstein Analytics): 1 year (Required)
License/Certification:
• Salesforce Certification (Required)
Ability to Commute:
• College Park, MD 20742 (Required)
Ability to Relocate:
• College Park, MD 20742: Relocate before starting work (Preferred)
Work Location: In person
• Ensure data reliability, accuracy, and provide strategic value within Salesforce CRM and Marketing Cloud.
• Leverage Marketing Cloud Journey and Campaign data to enhance Marketing Campaign Insights.
• Enforce data governance by resolving inconsistencies across platforms.
• Optimize dataflows and queries for better reporting efficiency.
• Build real-time, interactive Salesforce CRM Analytics (Einstein Analytics) dashboards.
• Analyze Marketing Cloud Journey and campaign performance.
• Utilize SAQL, SOQL, and JSON for advanced data modeling.
• Automate reporting with scheduled refreshes and predictive analytics.
• Work with teams to define KPIs and reporting needs.
• Train users on self-service reporting and data best practices.
• Align analytics with marketing, sales, and operations.
• Stay updated on Salesforce innovations and AI capabilities.
• Gather business requirements and provide training to end users.
Experience:
• 3+ years in Salesforce Analytics, BI, or Data Consulting Salesforce Certified CRM Analytics & Discovery Consultant Strong understanding of Salesforce data models, security, and governance Proficiency in SAQL, SOQL, JSON, and declarative reporting tools Hands-on experience with ETL tools, API integrations, and middleware
(Preferred):
• Experience with Salesforce Marketing Cloud, Journey Analytics, & Campaign Reporting Familiarity with Education Cloud, Experience Cloud, Sales & Service Cloud Additional Tools
(Nice to Have):
• Power BI, Tableau, SQL, and Python experience is a plus
Job Types: Full-time, Contract
Pay: $40.00 - $60.00 per hour
Expected hours: 40 per week
Schedule:
• 8 hour shift
• Monday to Friday
Experience:
• Salesforce: 4 years (Required)
• Salesforce Data Analytics: 3 years (Required)
• Salesforce Marketing Cloud: 1 year (Required)
• Salesforce CRM Analytics (Einstein Analytics): 1 year (Required)
License/Certification:
• Salesforce Certification (Required)
Ability to Commute:
• College Park, MD 20742 (Required)
Ability to Relocate:
• College Park, MD 20742: Relocate before starting work (Preferred)
Work Location: In person
Responsibilities
- Ensure data reliability, accuracy, and provide strategic value within Salesforce CRM and Marketing Cloud
- Leverage Marketing Cloud Journey and Campaign data to enhance Marketing Campaign Insights
- Enforce data governance by resolving inconsistencies across platforms
- Optimize dataflows and queries for better reporting efficiency
- Build real-time, interactive Salesforce CRM Analytics (Einstein Analytics) dashboards
- Analyze Marketing Cloud Journey and campaign performance
- Utilize SAQL, SOQL, and JSON for advanced data modeling
- Automate reporting with scheduled refreshes and predictive analytics
- Work with teams to define KPIs and reporting needs
- Train users on self-service reporting and data best practices
- Align analytics with marketing, sales, and operations
- Stay updated on Salesforce innovations and AI capabilities
- Gather business requirements and provide training to end users
Requirements
- 3+ years in Salesforce Analytics, BI, or Data Consulting Salesforce Certified CRM Analytics & Discovery Consultant Strong understanding of Salesforce data models, security, and governance Proficiency in SAQL, SOQL, JSON, and declarative reporting tools Hands-on experience with ETL tools, API integrations, and middleware
- Salesforce: 4 years (Required)
- Salesforce Data Analytics: 3 years (Required)
- Salesforce Marketing Cloud: 1 year (Required)
- Salesforce CRM Analytics (Einstein Analytics): 1 year (Required)
- Salesforce Certification (Required)
- College Park, MD 20742 (Required)
Genisis Technology Solutions
Technology
Location
Maryland, US
Job Type
FULLTIME
Benefits
- Pay: $40.00 - $60.00 per hour
- Expected hours: 40 per week
- 8 hour shift
- Monday to Friday
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