Statistician / Sales Analyst

Posted Yesterday
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Durham, NC, USA
In-Office
Senior level
Semiconductor • Manufacturing
The Role
Owns the design, implementation, testing, and maintenance of Power BI semantic models, data flows, dimensions, DAX, SQL, and Snowflake integrations. Develops reporting datasets and dashboards, blends multiple data sources, troubleshoots data issues, translates business requirements into analytics, and supports Sales Operations. Collaborates on cross-functional projects, defines milestones, manages reporting changes, supports users, and optimizes business intelligence processes.
Summary Generated by Built In

·       Full ownership of conceptual design, implementation and testing of datasets as they pertain to the following areas:

o   Power BI Semantic Models

o   Power BI Dimensions

o   Power BI Data Flows

o   DAX

o   Snowflake integration

o   SQL

o   User securities

·       Responsible for design and delivery of reporting and core reporting datasets, required to support new business solutions

·       Experience with data visualization best practice and techniques

·       Provide technical expertise in the development and implementation and maintenance of all reporting – must be expert at blending data from multiple sources

·       Monitor and maintain existing Power BI reports & semantic models, taking ownership over all new fields, new source unions, report change requests, and user support

·       Utilize Power BI, Snowflake, SQL to identify anomalies in data and assist business users in trouble-shooting abnormalities in the data and reporting bugs

·       Translate simple to complex user requirements into functional and actionable analytics

·       Support the evaluation, development, and optimization of processes and functions within Sales Operations, including documentation

·       Resolve capacity issues when conflicts arise

·       Define project requirements by identifying project milestones, phases, and elements

·       Liaise effectively with internal IT resources to successfully execute cross-functional projects, providing reporting functional expertise, end-user perspectives, and testing

Required:

·       4-year College Degree, plus 6 years in work experience

·       Expert-level Power BI Data Modeling

·       Expert DAX coding

·       Strong SQL

·       Experience with “big data” and master data concepts

·       Strong MS Excel

·       Adaptability; avid multitasker; embrace challenges

·       Reliable, with strong work ethic

·       Extreme attention to detail

·       Natural problem-solver; self-motivated; team player

·       Strong project management & communication skills

Preferred:

·       Experience with sales, financial, & forecasting data

·       Experience with Microsoft Fabric

·       Microsoft PL-300 certification

·       Knowledge of SAP data structures

·       Experience with Salesforce data and infrastructure

·       Experience with incentive data

·       Experience connecting with multiple Snowflake environments

·       Experience with data visualization tools, especially Power BI

·       Experience delivering business intelligence solutions to business customers

·       Experience in the Semiconductor industry or other manufacturing environment

·       Problem solving skills (highly preferential)

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Skills Required

  • Four-year college degree
  • Six years of professional work experience
  • Expert-level Power BI data modeling
  • Expert DAX coding skills
  • Strong SQL skills
  • Experience with big data and master data concepts
  • Strong Microsoft Excel skills
  • Adaptability and ability to multitask
  • Reliable, strong work ethic
  • Extreme attention to detail
  • Problem-solving, self-motivation, and teamwork
  • Strong project management and communication skills
  • Experience with sales, financial, and forecasting data
  • Experience with Microsoft Fabric
  • Microsoft PL-300 certification
  • Knowledge of SAP data structures
  • Experience with Salesforce data and infrastructure
  • Experience with incentive data
  • Experience connecting to multiple Snowflake environments
  • Experience with data visualization tools, especially Power BI
  • Experience delivering business intelligence solutions to business customers
  • Experience in the semiconductor industry or another manufacturing environment

Cree Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cree and has not been reviewed or approved by Cree.

  • Fair & Transparent Compensation Pay is often described as fair or decent in technician and operator roles. Compensation in some project management and security supervision roles is characterized as good.
  • Healthcare Strength Benefits include medical, dental, and vision coverage with HSA, FSA, and HRA options, plus EAP support. Wellness resources are highlighted alongside core health plans.
  • Parental & Family Support The package includes six weeks of paid parental leave and adoption assistance. Leave applies to new birth, adoption, and foster placement.

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The Company
HQ: Racine, WI
2,773 Employees
Year Founded: 1987

What We Do

Cree | Wolfspeed is the global leader in silicon carbide technology and production, leading the worldwide transition from silicon to silicon carbide. Our product portfolio provides disruptive technology solutions that support a more efficient, sustainable future including electric vehicles, fast charging, 5G, power supplies, renewable energy and storage, as well as aerospace and defense. Our people are dedicated to driving a significant shift in the technology sector and creating a global semiconductor powerhouse. For additional product and Company information, visit www.cree.com.

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