BI Analyst

Hyve Solutions

Greenville (SC)

In loco

USD 67.000 - 82.000

Tempo pieno

24 ore fa
Candidati tra i primi
Generatore di candidature

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Vantaggi offerti da questo lavoro

FSA
HSA
Mental Health Care
401K with match
Paid Holidays, Vacation & Sick Days
Tuition Reimbursement
Perks at Work
LEAP Program
MyFlexPay

Descrizione del lavoro

Hyve Solutions is seeking a BI/Data Engineering professional to design and maintain corporate dashboards, data models, and reporting pipelines. You will partner with Supply Chain, Product Sourcing, Procurement, Warehouse, Traffic, and Manufacturing to translate business needs into scalable data solutions.

You will lead data governance, optimize data quality, and build automated pipelines while leveraging Power BI, SQL, and ETL tools. Strong communication to executives is required.

Competenze

  • BA/BS degree or equivalent practical experience.
  • 3+ years of experience with traditional data warehouse architectures (centralized data warehouse, data mart).
  • Strong SQL skills and data modeling knowledge (star/snowflake schemas).
  • Proficiency in Excel and BI tools like Power BI or similar.
  • Analytical problem solving and ability to translate business needs into data solutions.
  • Experience with ETL/ELT tools and data governance practices.

Mansioni

  • Design, build and maintain dashboards and reports using BI tools (Power BI).
  • Collaborate with Supply Chain, Product Sourcing, Procurement, Warehouse, Traffic, and Manufacturing.
  • Develop automated reporting and data pipelines to improve efficiency.
  • Create and maintain data models, transformations and reporting logic.
  • Define project scope, gather requirements, manage backlogs and timelines.
  • Analyze large datasets to identify trends and actionable insights.
  • Lead complex projects and communicate with technical and executive stakeholders.
  • Establish data governance and validation rules across systems.
  • Collaborate with data engineering to optimize pipelines and data quality.

Conoscenze

SQL
Data Modeling
Power BI
Excel
Analytics
Project Mgmt
Agile/Scrum

Formazione

BA/BS degree

Strumenti

Power BI
Databricks
Snowflake
ETL Tools
Azure Data Factory
Jira

Descrizione del lavoro

Hyve Company Overview

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.

Location: Fremont, CA or Olive Branch, MS

Key Responsibilities
  • 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
Qualifications & Technical Skills
  • 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
The anticipated base salary range for this position

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

We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We are committed to creating an inclusive environment for all employees.

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