Business Intelligence Specialist
New
P
Patch My PCEnterprise software
United StatesFull-TimeMiddle
Salary100,000 - 125,000 USD per year
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Job Details
- Experience
- 3+ years of hands-on experience in business intelligence, data integration, database development or related technical data roles.
- Required Skills
- SQLMicrosoft Power BISnowflakeTableauAzureData modelingDatabricks
Requirements
- Bring 3+ years of hands-on experience in business intelligence, data integration, database development, or related technical data roles.
- Have strong SQL skills and experience with relational databases, data models, and large datasets.
- Have experience building data pipelines and integrating information from multiple systems.
- Be familiar with cloud data platforms such as Snowflake, Databricks, Azure-based data solutions, or similar technologies.
- Have experience with data transformation, data quality, and historical data management.
- Have working knowledge of reporting tools such as Power BI or Tableau.
- Demonstrate analytical thinking, troubleshooting skills, and the ability to independently solve technical problems.
- Bring a proactive, ownership-driven mindset and strong communication and collaboration skills.
- Experience with Salesforce, financial systems, or other enterprise SaaS applications is a plus.
- Familiarity with recurring-revenue metrics and operational reporting is a plus.
- Experience helping build or improve data infrastructure in a growing organization is a plus.
Responsibilities
- Build and maintain data pipelines that extract, transform, and integrate information from multiple business systems.
- Develop SQL queries, data models, and database structures for enterprise reporting.
- Support implementation and ongoing development of a centralized enterprise data warehouse.
- Organize, clean, and validate data to improve accuracy, consistency, and reliability.
- Develop datasets and reporting solutions for historical analysis, business performance tracking, and operational KPIs.
- Partner with Finance, Revenue Operations, and other teams to understand data requirements and troubleshoot integration or reporting challenges.
- Investigate data gaps, recommend solutions, and deliver technical work independently.
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