Business Intelligence Data Analyst
At a glance
Mid-level Data Analysis & BI role at Synnex (Hyvecareers). Fremont · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.
Synnex (Hyvecareers) has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Pull, reshape and check data from several sources for business analysis and reporting
- Build and tune complex SQL queries that feed dashboards, reports and one-off analysis
- Create reusable datasets and data models, then turn business and technical needs into structured data solutions
- Find data quality problems, add validation checks and improve the reliability of reporting data
- Automate reporting and data pipelines, analyze business trends, and document models and reporting logic
What you bring
- A bachelor’s degree and one to three years of relevant experience, or equivalent practical experience
- Strong SQL ability, including complex joins, window functions and query tuning
- Experience with large relational datasets and analytics data models, plus Microsoft Excel and a BI tool such as Power BI
- Working knowledge of data warehousing concepts, including Databricks, Hive or Snowflake schemas
Who this fits
This mid-level role suits someone who can combine SQL and data modeling with analysis and reporting. The role is based in Fremont, United States.
From the employer
@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions.
Job Summary:
BI Analyst (Data-Focused)
Get Inspired by the Work You’ll Do
- Own the extraction, transformation, and validation of data from multiple sources to support business analysis and reporting
- Write, optimize, and maintain complex SQL queries to power dashboards, reporting, and ad hoc analysis
- Design and build scalable datasets and data models to support business domain.
- Partner with business and technical teams to define data requirements and translate them into structured data solutions
- Identify data quality issues, implement validation checks, and drive improvements in data integrity and reliability
- Develop automated reporting and data pipelines to improve efficiency and reduce manual processes
- Analyze large datasets to identify trends, patterns, and key business drivers, and translate findings into actionable insights
- Create and maintain documentation for data models, transformations, and reporting logic
Qualifications
- BA/BS degree with 1–3 years of relevant experience, or equivalent practical experience
- Strong SQL skills, including experience with complex joins, window functions, and query optimization
- Experience working with large, relational datasets and building data models for analytics
- Proficiency in Microsoft Excel and experience with BI tools such as Power BI or similar
- Strong analytical and problem-solving skills with the ability to translate business needs into data solutions
- Familiarity with data warehousing concepts (e.g., Databricks/Hive/Snowflake schemas)
- Experience with Microsoft Access or similar tools is a plus
@ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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