Lead Data Analyst
S&P Global
SQLTableau
Senior Data Analyst / Data Scientist
Salesforce
full-time
Posted on:
Location: 🇮🇳 India
Visit company websiteJob 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
