Software Engineer

1 week ago

Chennai, Tamil Nadu, India Preludesys Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Are you passionate about turning CRM data into actionable insights? Join PreludeSys as a Software Engineer Salesforce (CRM Analytics) and help shape data-driven strategies by designing intelligent dashboards, building ETL pipelines, and enabling smarter business decisions across teams.

What Youll Do

As a Software Engineer at PreludeSys, you will:

  • Design & Optimize Dashboards: Create and refine dashboards in Salesforce CRM Analytics, Tableau, or Power BI to deliver actionable insights across sales, marketing, and support teams.
  • Build Data Pipelines: Write and manage SQL queries, ETL scripts, and Salesforce dataflows to extract, transform, and load data from CRM systems and external sources.
  • Analyze CRM Data: Track key business metrics such as conversion rates, churn, and customer lifetime value, and provide optimization recommendations for campaigns and sales strategies.
  • Collaborate with Stakeholders: Partner with sales, marketing, support, and data engineering teams to gather requirements and align analytics solutions with organizational goals.
  • Ensure Data Integrity: Monitor data pipelines, troubleshoot anomalies, and maintain high data quality and consistency across systems.

Your Skillset

Were looking for a data-driven engineer with strong CRM analytics expertise. Must-haves include:

  • CRM Analytics Experience: 1+ years working with CRM tools, especially Salesforce CRM Analytics (Tableau CRM).
  • Dashboard Development: Ability to design intuitive, impactful dashboards and reports using Salesforce Analytics, Tableau, or Power BI.
  • SQL Expertise: Skilled in writing complex SQL queries (joins, aggregations, filtering) for reporting and data manipulation.
  • ETL & Dataflows: Hands-on with ETL tools (Talend, Informatica) or Salesforce-native dataflows for managing pipelines.
  • CRM Knowledge: Experience extracting and analyzing data from Salesforce, HubSpot, or Microsoft Dynamics.
  • Cloud & Databases: Familiarity with AWS, GCP, or Azure, and data warehouses like Snowflake, BigQuery, or Redshift.
  • Preferred Skills: Knowledge of Python (pandas, NumPy, scikit-learn) or R for statistical analysis, predictive modeling, and automation.
  • Certifications: Salesforce CRM Analytics Certification (or equivalent) is a plus.

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