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Book Data Analyst Jobs (NOW HIRING)

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Create and maintain executive-level Power BI dashboards that track critical metrics like "Book-to ...

Senior Data Analyst (NYC)

New York, NY · On-site

$110K - $130K/yr

Title: Sr. Data Analyst (NYC) Location: New York City (Hybrid) Salary Range: $110,000-$130,000 base ... and book aesthetic treatments, what really drives provider engagement and value, and how all our ...

Title: Sr. Data Analyst (NYC) Location: New York City (Hybrid) Salary Range: $110,000-$130,000 base ... and book aesthetic treatments, what really drives provider engagement and value, and how all our ...

Working in a team environment and independently, the Junior Logistics Data Analyst provides recommended corrective actions for data discrepancies to ensure APSR floor to book accuracy and ...

... and book travel. About The Role We're looking for a Senior Data Analyst, Marketing to join our ... growing Data team and embed with our Growth, Sales, and Acquisition teams. This is a highly ...

Trade Surveillance Analyst

New York, NY · On-site

$171K/yr

Investigate alerts end-to-end, pulling and analyzing order book data, position information, and trade history using SQL, Python, or internal tools. * Write clear, well-documented case summaries for ...

Evaluate book/sample productivity and conversion rates. * Track average unit sales, project ... Bachelor's degree in Business, Analytics, Data Science, Economics, or related field (Master ...

Evaluate book/sample productivity and conversion rates. * Track average unit sales, project ... Bachelor's degree in Business, Analytics, Data Science, Economics, or related field (Master ...

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Book Data Analyst information

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$34K

$82.6K

$136K

How much do book data analyst jobs pay per year?

As of Jul 12, 2026, the average yearly pay for book data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Book Data Analyst?

A Book Data Analyst is a professional who collects, analyzes, and interprets data related to books, publishing trends, sales, readership, and market performance. They use statistical tools and data visualization techniques to help publishers, authors, and retailers make informed decisions about acquisitions, marketing strategies, and inventory management. By examining data from various sources, such as bestseller lists, digital platforms, and consumer behavior, Book Data Analysts provide actionable insights to improve business outcomes in the publishing industry.

What are the key skills and qualifications needed to thrive as a Book Data Analyst, and why are they important?

To thrive as a Book Data Analyst, you need strong analytical skills, expertise in data management, and a background in statistics or information science, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, Tableau, and familiarity with publishing industry databases are typically required. Attention to detail, problem-solving abilities, and effective communication help analysts translate complex data into actionable insights for publishers and stakeholders. These skills are vital for making informed decisions, identifying market trends, and optimizing book sales strategies.

How does a Book Data Analyst typically collaborate with editorial and marketing teams?

Book Data Analysts often work closely with editorial and marketing teams to provide actionable insights on reader preferences, sales trends, and market opportunities. By analyzing data from sales reports, reader reviews, and industry benchmarks, they help inform decisions about which genres or titles to prioritize, effective pricing strategies, and targeted marketing campaigns. Regular meetings and collaborative projects are common, making strong communication skills and the ability to translate data findings into practical recommendations essential for success in this role.

What is the difference between Book Data Analyst vs Bookkeeper?

AspectBook Data AnalystBookkeeper
CredentialsTypically requires data analysis skills, proficiency in Excel, SQL, or data visualization toolsUsually requires basic accounting knowledge, high school diploma or equivalent, and familiarity with accounting software
Work EnvironmentData-driven environments, finance, publishing, or retail sectorsSmall to medium-sized businesses, accounting firms, or internal finance departments
Employer & Industry UsageUsed in industries needing data insights from financial recordsCommonly employed in bookkeeping, accounting, and small business finance

The main difference is that a Book Data Analyst focuses on analyzing financial data to generate insights, while a Bookkeeper handles day-to-day financial record-keeping. Both roles require familiarity with financial data, but the Data Analyst emphasizes data analysis skills, whereas the Bookkeeper concentrates on maintaining accurate financial records.

More about Book Data Analyst jobs
What cities are hiring for Book Data Analyst jobs? Cities with the most Book Data Analyst job openings:
What states have the most Book Data Analyst jobs? States with the most job openings for Book Data Analyst jobs include:
Sales Operations Data Analyst

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 28 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/RPower BIExcel 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.