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EDW Data Analyst (Sales & Quoting Experience)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an EDW Data Analyst with 6-10 years of experience in sales and quoting processes, located in San Jose, CA (Hybrid). Key skills include SQL, ETL, BI tools, and experience with Salesforce CPQ or similar systems.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 2, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#AWS (Amazon Web Services) #Looker #R #Data Analysis #Oracle #Consul #Python #Snowflake #BigQuery #Data Governance #Consulting #Data Quality #SQL (Structured Query Language) #Cloud #Data Security #Microsoft Power BI #SAP #Data Integrity #EDW (Enterprise Data Warehouse) #Data Warehouse #Datasets #Data Engineering #Security #"ETL (Extract #Transform #Load)" #Redshift #Tableau #BI (Business Intelligence)
Role description
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Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.

Job Title: EDW Data Analyst (Sales & Quoting Experience)

Location: San Jose, CA (Hybrid)

Experience: 6 to 10 Years

Job Description

We are seeking a highly skilled EDW (Enterprise Data Warehouse) Data Analyst with extensive experience in sales and quoting processes. The ideal candidate will be responsible for analyzing, designing, and implementing data-driven solutions that support business decision-making. This role requires a strong background in data analytics, ETL processes, and experience working with sales and quoting systems.

Key Responsibilities

   • Analyze and interpret large datasets related to sales and quoting functions.

   • Design, develop, and optimize data models within the EDW environment.

   • Work closely with business stakeholders to identify data needs and provide actionable insights.

   • Develop reports and dashboards using BI tools to support decision-making.

   • Collaborate with data engineers to ensure data integrity and consistency.

   • Implement and maintain data quality checks and validation procedures.

   • Support ad-hoc data analysis requests and provide strategic recommendations.

Required Skills & Qualifications

   • 6 to 10 years of experience in data analysis, business intelligence, or data engineering.

   • Strong expertise in SQL and data warehousing concepts.

   • Hands-on experience with ETL tools and processes.

   • Experience with sales and quoting systems such as Salesforce CPQ, SAP, or Oracle CPQ.

   • Proficiency in BI tools like Tableau, Power BI, or Looker.

   • Strong analytical and problem-solving skills.

   • Excellent communication and stakeholder management abilities.

   • Experience working in a hybrid work environment with cross-functional teams.

Preferred Qualifications

   • Experience in cloud data platforms like Snowflake, AWS Redshift, or Google BigQuery.

   • Familiarity with data governance and data security best practices.

   • Knowledge of Python or R for data analysis.

Qualifications

   • Bachelor's degree or equivalent combination of education and experience.