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The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...
The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...
Quick apply
The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...
Data Analyst
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Company Profile JT4, LLC provides engineering and technical support to multiple western test ranges ... Ensures accurate parametric data collection, analysis, and delivery for assigned test programs ...
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Afternoon Data Analyst R Programming information
What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?
What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?
What is an Afternoon Data Analyst R Programming?
Is data science dead in 10 years?
What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?
| Aspect | Afternoon Data Analyst R Programming | Morning Data Analyst R Programming |
|---|---|---|
| Required Credentials | Bachelor's in Data Science, Statistics, or related field; R programming skills | Bachelor's in Data Science, Statistics, or related field; R programming skills |
| Work Environment | Typically in office settings, working during afternoon hours | Office environment, working during morning hours |
| Employer & Industry Usage | Used in industries with shift-based operations like finance, healthcare | Common in similar industries, often with flexible scheduling |
| Search & Comparison Intent | People comparing different shift roles or schedules in data analysis | Similar search intent focusing on shift timing differences |
The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

Other
Medical, Dental, Vision, PTO
Posted 14 days ago
Job description
Job Description:
Title: Sales Ops Data Analyst
In Office /Remote: /Hybrid
Exempt / Non-exempt
Based: Manila, Philippines
Job Purpose:
Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader driving innovation in gallium nitride (GaN) and high-voltage silicon carbide (SiC) technologies. Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification.
With more than 30 years of combined expertise in wide bandgap technologies, GaNFast™ power ICs integrate GaN power, drive, control, sensing, and protection, delivering faster power delivery, higher system density, and greater efficiency. GeneSiC™ high-voltage SiC devices leverage patented trench-assisted planar technology to provide industry-leading voltage capability, efficiency, and reliability for medium-voltage grid and infrastructure applications.
We are seeking a Data Analyst to join our fast-growing, collaborative team. The ideal candidate is self-motivated, energetic, and able to thrive in a high-growth, innovative environment, contributing directly to technologies that are shaping the future of power electronics.
Key Responsibilities and Duties:
Summary:
We are seeking an experienced Data Analyst in Sales Operations department to manage sales data analysis and distributor activities to drive sales performance. Focus on developing and maintaining sales operations databases, automating reporting. You will be the lead architect and manager of the Sales Operations Data Center. Your mission is to consolidate fragmented data from CRM and ERP systems into a unified, automated infrastructure that powers the global semiconductor sales strategy.
1. Cloud Data Infrastructure & Architecture
- Build & Manage: Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring robust data structures to support all analytics and reporting needs.
- Pipeline Automation: Architect and automate data pipelines that integrate CRM (D365) and ERP (Oracle) systems with the central cloud database for real-time data flow.
- Scalability: Collaborate with IT to optimize the performance and scalability of the sales data infrastructure.
2. Data Governance & Security
- Standardization: Maintain accuracy and consistency of sales, billing, and lead data by standardizing information across all global platforms.
- Security & Access: Manage cloud access controls, user roles, and data retention policies to ensure privacy and regulatory compliance.
3. Advanced Analytics & AI Innovation
- AI Development: Build and deploy AI-driven solutions or AI agents to automate routine data cleaning, summarize complex sales reports, or predict pipeline risks.
- Automated Reporting: Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing and sales forecast accuracy.
4. Commercial Strategy & Collaboration
- BI Development: Create and maintain executive-level Power BI dashboards that track critical metrics like "Book-to-Bill" and pipeline velocity.
- Global Liaison: Act as the primary English-speaking technical contact for Sales Operations, translating commercial needs into technical database solutions.
Knowledge, Skills, Abilities, and Other Characteristics (KSAO’s)
- Knowledge: Comprehensive mastery of SQL (Database Design/Management), Python/R, Power BI, Excel VBA, and the data schemas of Microsoft D365, Salesforce and Oracle.
- Skills: Advanced Excel VBA programming, data modeling, and professional English communication (written and verbal).
- Abilities: Ability to translate complex sales data into clear business narratives and automate repetitive reporting cycles.
- Others: Detail-oriented mindset for billing accuracy and a drive for continuous improvement through AI integration.
Required Qualifications
Basic
- Communication: Professional proficiency in English; ability to collaborate with global stakeholders and document technical workflows clearly.
- Core Tech Stack: Expert-level SQL and advanced Python or R for data manipulation and automation.
- Systems: Hands-on experience with different CRM and ERP systems. Such as Microsoft Dynamics 365 (F&O) and Oracle ERP systems.
- Reporting: Proven experience in Excel VBA programming and building/managing Power BI dashboards.
Preferred
- AI Agency Programming: Experience building AI Agents (e.g., LangChain, CrewAI, or AutoGPT) to automate data auditing, summarization, or predictive sales forecasting.
- Industry Expertise: Direct experience in Semiconductor Sales Ops (managing Backlog, Billing, Pipeline, and Forecast cycles).
- Cloud Architecture: Experience setting up serverless functions or automated triggers within a cloud environment.
What We Offer
- A front-row seat to the future of power electronics. Work on cutting-edge GaN and SiC technologies that are transforming AI data centers, electrification, and global energy infrastructure.
- A fast-paced, high-energy environment. We move quickly, make decisions with purpose, and empower employees to take ownership and drive real impact from day one.
- A team that shows up and delivers. We care deeply about our mission, our customers, and each other. We collaborate, support one another, and bring intensity and accountability to everything we do.
- Full support to succeed. You’ll have access to leadership, cross-functional collaboration, and the resources needed to innovate and execute at a high level.
- Competitive total rewards. Comprehensive health, dental, and vision coverage, unlimited PTO, and a competitive compensation package including base salary, bonus, and equity awards.
About Navitas Semiconductor
Sourced by ZipRecruiter
Industry
Semiconductor and electronic component manufacturing
Company size
51 - 200 Employees
Headquarters location
Torrance, CA, US
Year founded
2013