Data Analyst
Intersources Inc.
Springfield, MO, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Big Data
Cloud Database
Data Validation
Data Governance
Extract Transform Load (ETL)
Data Transformation
Data Mining
Data Presentation
Data Visualization
Python (Programming Language)
Power BI
+7 more
SQL Databases
Tableau (Software)
Snowflake
Data Analytics
Star Schema
Domo
Data Pipelines
Job description
We are seeking a detail-oriented and analytical Data Analyst with strong hands-on experience in Domo BI platform and Snowflake cloud data warehouse. The ideal candidate will be responsible for transforming raw data into actionable insights, building dashboards, and supporting business decision-making through advanced reporting and analytics. Key Responsibilities
- Design, develop, and maintain interactive dashboards and reports using Domo.
- Write optimized SQL queries in Snowflake for data extraction, transformation, and reporting.
- Collaborate with business stakeholders to gather reporting requirements and translate them into technical solutions.
- Perform data validation, cleansing, and transformation to ensure accuracy and reliability.
- Develop ETL workflows and manage data pipelines between Snowflake and Domo.
- Monitor dashboard performance and optimize queries for efficiency.
- Provide ad-hoc analysis and insights to support business strategy.
- Maintain documentation of data models, dashboards, and reporting logic.
- Ensure data governance and data quality standards are followed.
Requirements
- 3+ years of experience in Data Analytics or Business Intelligence.
- Strong hands-on experience with Domo (Magic ETL, Beast Mode, Dataflows, Dashboarding).
- Strong SQL expertise, especially in Snowflake.
- Experience working with large datasets and cloud-based data warehouses.
- Knowledge of data modeling concepts (star schema, fact & dimension tables).
- Understanding of ETL processes and data transformation.
- Experience with data visualization best practices.
- Strong analytical and problem-solving skills.
- Excellent communication skills to interact with technical and non-technical stakeholders.
Preferred Qualifications
- Experience with additional BI tools (Power BI, Tableau, etc.).
- Familiarity with Python or R for data analysis.
- Understanding of data governance and security best practices.
- Experience in Agile/Scrum environments.
Key Competencies
- Data storytelling
- Attention to detail
- Business acumen
- Stakeholder management
- Analytical thinking
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