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Book Data Analyst Jobs (NOW HIRING)

Gradient AI

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ... book-of-business optimization) * Comfortable engaging directly with clients in a consultative ...

Hachette Book Group

Royalty Analyst

New York, NY · On-site

$55K/yr

Hachette Book Group is seeking a talented Royalty Analyst to support our Finance team!The Royalty ... Validate monthly financial data for month-end general ledger reporting * Assist in monthly ...

Hachette Book Group

Royalty Analyst

New York, NY

$55K/yr

Hachette Book Group is seeking a talented Royalty Analyst to support our Finance team!The Royalty ... Validate monthly financial data for month-end general ledger reporting * Assist in monthly ...

Hachette Book Group

Royalty Analyst

New York, NY · On-site

$55K/yr

Hachette Book Group is seeking a talented Royalty Analyst to support our Finance team!The Royalty ... Validate monthly financial data for month-end general ledger reporting * Assist in monthly ...

CGI Inc.

ERP/Finance Analyst

Fairfax, VA · On-site

At CGI Federal, we're seeking experienced ERP or financial data analyst who thrive in a ... Preferable working knowledge of federal financial regulations including OMB A 123, GAO Green Book ...

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All JobsBook Data Analyst Jobs

Book Data Analyst information

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$34K

$82.6K

$136K

How much do book data analyst jobs pay per year?

As of Aug 7, 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:
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Book Data Analyst jobs near you
Infographic showing various Book Data Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Quantitative Researcher - Intraday Equities Alpha

Metabit Technology LLC

New York, NY • On-site

$500K/yr

Full-time

Re-posted 4 days ago

Job description

About the Role
We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure.
What You'll Do
  • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets.
  • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities.
  • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment.
  • Collaborate with engineering and trading teams to deploy and monitor strategies in live production.
  • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.
What We Look For
  • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies.
  • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality.
  • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets.
  • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities.
  • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.
Nice to Have
  • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA).
  • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact).
  • Track record of successful signal ideas contributing to live PnL.
Summary
  • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you.

Pay Range:
  • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

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