BI Analyst

Hyve Solutions
Greenville, SC, United States
25 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
Compensation
$61,000.0 - $112,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Agile Methodology JIRA Big Data Information Engineering Data Governance Extract Transform Load (ETL) Data Mart Data Systems Data Warehousing Database Queries Dimensional Modeling
+16 more
R (Programming Language) Apache Hive Python (Programming Language) Machine Learning PRINCE2 Scrum Methodology Power BI Data Processing Azure Data Factory System Availability Snowflake Data Analytics Star Schema Data Pipelines Alteryx Databricks

Job description

  • Design, build and maintain Corp wise or Cross Functional business domain dashboards and reports using BI tools, such as Microsoft Power BI or similar
  • Partner closely with 3 or more in Supply Chain, Product Sourcing, Procurement, Warehouse, Traffic, Manufacturing to understand business processes, reporting needs, and strategic priorities
  • Develop automated reporting and data pipelines to improve efficiency and reduce manual processes
  • Create and maintain documentation for data models, transformations and reporting logic
  • Define project scope, gathering requirements, creating timelines, managing backlogs, and ensuring the timely delivery of BI products
  • Analyze large datasets to identify trends, patterns, and key business drivers, and translate findings into actionable insights
  • Ability to lead complex projects, influence partners, and communicate effectively at both technical and executive levels
  • Establish and enforce data governance, validation rules, and transformation logic to ensure data consistency across systems
  • Collaborate with data engineering team to optimize data pipelines, ensure data quality, and improve data availability

Requirements

  • BA/BS degree with 3-5 years of relevant experience, or equivalent practical experience
  • 3+ years of experience with traditional data warehouse architectures, such as centralized data warehouse, data mart
  • Strong SQL skills and proficiency in data modeling concepts (start schema, dimensional modeling, semantic design)
  • 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
  • Solid understanding of historical, snapshot, and incremental data processing patterns
  • Familiarity with data warehousing concepts (e.g. Databricks/Hive/Snowflake schemas)
  • Exposure to data science tools or methodologies (Python, R, machine learning concepts, data bricks, snowflake)
  • Experience with ETL/ELT tools (e.g., DBT, Fivetran, Informatica, Azure Data Factory), Alteryx, and Jira.
  • Proven experience managing data-driven initiatives using project management frameworks (e.g., Agile, Scrum, Kanban)
  • PMP or Scrum Master certification is a plus

Benefits & conditions

Fremont, CA - $75,000-$112,000 annually

Olive Branch, MS - $61,000 - $84,000 annually

Greenville, SC - $67,000-$82,000 Actual compensation will be determined based on experience, skills, qualifications, and business needs.

What’s in it for you

Benefit Insurance

  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Mental Health Care
  • 401K with match
  • Paid Holidays, Vacation & Sick Days
  • Tuition Reimbursement
  • Perks at Work
  • LEAP Program
  • MyFlexPay

About the company

Hyve Solutions transforms complex engineering challenges into production reality for technology innovators building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, the company rapidly delivers fast, agile execution through dep technical partnerships and co-innovation, and supply chain clarity. Hyve’s integrated ODM, CM, and SI capabilities eliminate vendor complexity while accelerating time-to-market with single-partner accountability from design through scale. The company co-innovates with deep engineering expertise, treating customer success as its own while building tomorrow’s digital infrastructure.

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