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.