Salesforce

Senior Data Analyst / Data Scientist

Salesforce

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

CloudHadoopPythonPyTorchScikit-LearnSFDCSparkSQLTableauTensorflow

About the role

  • Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations
  • Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels
  • Apply advanced data science techniques to analyze pre-defined KPIs by identifying what’s working, what’s not, and opportunities for improvement
  • Develop a deep understanding of enterprise data and operational details of the business (e.g., key datasets, business drivers/KPIs)
  • Build predictive analytics models to forecast trends and early warning signals in key business areas
  • Assist in wrangling data sets using Salesforce, SQL, and Tableau to discover patterns, correlate findings, and measure the impact on the business and key metrics
  • Partner with and consult Professional Services sellers and sales leadership to provide accurate data/information and make recommendations for how to run the business
  • Use Tableau & SQL to create interactive and intuitive visualizations
  • Automate manual reporting processes and improve data quality

Requirements

  • 4+ years of experience in data science, preferably in enterprise software
  • 4+ years of experience in analytics, reporting, data analysis
  • Basic understanding of data modeling and relational databases like Snowflake
  • Experience deploying, monitoring, and maintaining data science products in cloud environments
  • Good understanding of the data science project lifecycle and associated challenges at each stage of development
  • Expertise in at least one programming language for data science (e.g., Python, R)
  • Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop)
  • Hands-on knowledge of SQL, Tableau, and Google Sheets/Excel
  • Strong communication skills; able to translate complex technical results into clear, actionable insights
  • Strong collaboration skills and ability to work effectively across teams
  • Ability to quickly grasp technological and business concepts
  • Preferred: Bachelor’s degree (or equivalent) in a quantitative field
  • Preferred: Background in professional services or SaaS industry
  • Preferred: Knowledge of Salesforce product, platform features, and capabilities
  • Preferred: Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Preferred: Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Preferred: Sales/GTM knowledge