Senior Data Analyst

  • San Jose, CA
  • Posted 3 hours ago | Updated moments ago

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Python
Tableau
SQL
Snowflake
data accuracy & governance
analytical thinking
problem-solving
collaboration
communication
ad-hoc reporting
business intelligence
Salesforce CRM data analysis

Job Details

Job Overview:

We are seeking a detail-oriented and highly skilled Data Analyst. The ideal candidate will have strong expertise in Tableau, SQL, Snowflake, and Python, with additional exposure to Salesforce as a plus. This role requires someone who can transform complex data into actionable insights, support business decision-making, and contribute to data-driven strategies.

Key Responsibilities:

  • Design, develop, and maintain Tableau dashboards and data visualizations to deliver business insights.
  • Write complex SQL queries to extract, manipulate, and analyze data from multiple sources.
  • Work with Snowflake for data storage, transformation, and pipeline optimization.
  • Use Python for advanced data analysis, automation, and reporting.
  • Collaborate with cross-functional teams (business, product, IT) to gather requirements and provide data-driven recommendations.
  • Ensure data accuracy, integrity, and governance across systems.
  • Support ad-hoc reporting and analytical needs.
  • (Good to Have) Integrate and analyze Salesforce data for business reporting and customer insights.

Qualifications & Skills:

  • Bachelor s degree in Computer Science, Data Science, Statistics, Information Systems, or related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Strong hands-on skills in Tableau (dashboard design, storytelling, performance optimization).
  • Proficiency in SQL and working with large datasets.
  • Experience with Snowflake for data warehousing.
  • Knowledge of Python for data manipulation, scripting, and analytics.
  • Understanding of Salesforce CRM data (preferred, not mandatory).
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to work independently and in a collaborative team environment.

Nice to Have:

  • Experience with ETL tools and data pipeline development.
  • Familiarity with cloud platforms (AWS / Azure / Google Cloud Platform).
  • Knowledge of statistical analysis and predictive modeling.

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