Senior saleforce CRM analytics developer- WFH role

7 - 12 years

9 - 15 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Responsibilities:

  • Architecting and designing analytics solutions that leverage Salesforce CRM data to provide actionable insights for business users.
  • Developing data models and structures to organize and optimize data for analytics purposes within Salesforce CRM.
  • Creating interactive dashboards, reports, and visualizations using Salesforce Analytics tools (e.g., Einstein Analytics, Salesforce Reports and Dashboards).
  • Customizing Salesforce CRM to integrate with external data sources and analytics tools for comprehensive data analysis and visualization.
  • Integrating data from multiple sources into Salesforce CRM to enable holistic analytics and reporting capabilities.
  • Implementing automation processes for data extraction, transformation, and loading (ETL) to ensure data accuracy and consistency for analytics
  • Optimizing data queries, reports, and dashboards for performance to deliver fast and efficient analytics solutions.
  • Providing training and support to end-users on using analytics tools within Salesforce CRM to empower data-driven decision-making.

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Required Skills and Qualifications:

  • 7+ years of experience in CRM analytics development with expertise in advanced analytics.
  • Proficiency in Salesforce CRM and analytics tools such as Salesforce Einstein Analytics, Salesforce Reports, and Dashboards.
  • Experience in data modeling, data visualization, and analytics solution design.
  • Knowledge of ETL processes, data integration techniques, and data warehousing concepts.
  • Strong understanding of CRM principles and business processes.
  • Programming skills in languages like Salesforce Apex, SQL, or Python.
  • Certification in Salesforce CRM and analytics tools is a plus.

    Role & responsibilities


Attributes:

  • Analytical mindset with a focus on deriving insights from data.
  • Problem-solving skills to address complex data challenges.
  • Strong communication and collaboration skills to work with cross-functional teams.
  • Detail-oriented and quality-focused in analytics solution development.

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