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Book Data Analyst Jobs in California (NOW HIRING)

twentysix

Director, Data Strategy

El Segundo, CA · On-site

$180 - $240/hr

... Analysis. Leading cross-functional strategy and delivery: Overseeing a team of Data Strategists and managing your own book of business to deliver high-quality data solutions, insights, and ...

DHD Consulting

Business Planning Analyst

Buena Park, CA · On-site

$55K - $70K/hr

Collect and organize financial/operational data from Accounting, Operations, SCM, and Marketing ... Employee Club Activities (movie, e-sports, book, sports activity club, etc.) * Much More

Volt

VP of Finance

San Francisco, CA · On-site

You will own FP&A, accounting, fundraising, and finance operations, and translate strategy into ... You will lead the operating model, KPI book, data room, and management presentation, manage ...

Volt

VP of Finance

San Francisco, CA

You will own FP&A, accounting, fundraising, and finance operations, and translate strategy into ... You will lead the operating model, KPI book, data room, and management presentation, manage ...

Deckers

Direct Ship Planning Analyst

Goleta, CA · Hybrid

$66K - $89K/yr

Through proactive analysis, you'll identify and resolve disruptions, ensure data integrity, and ... Convert approved orders and maintain an accurate order book * Monitor production, shipping, and ...

Deckers Brands

Direct Ship Planning Analyst

Goleta, CA · On-site

$66K - $89K/yr

Through proactive analysis, you'll identify and resolve disruptions, ensure data integrity, and ... Convert approved orders and maintain an accurate order book * Monitor production, shipping, and ...

Block

Staff Data Scientist, Pricing

Bodega Bay, CA

... book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded ... Own end-to-end execution across the stack - analysis, pipeline, ETL, experimentation, and ...

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Book Data Analyst information

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.

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 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.

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.

What are popular job titles related to Book Data Analyst jobs in California?

For Book Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Book Data Analyst jobs in California look for?

The top searched job categories for Book Data Analyst jobs in California are:

What cities in California are hiring for Book Data Analyst jobs?

Cities in California with the most Book Data Analyst job openings:

Book Data Analyst jobs near you
Infographic showing various Book Data Analyst job openings in California as of August 2026, with employment types broken down into 70% Full Time, 25% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Analyst, Go-To-Market Sales Insights

San Francisco, CA • On-site

Lyft
Ground Public Transportation • 5 - 10K employees

7.6

Company rating: 7.6 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

2nd of 9 rated taxi private hire

Great coworkers

People enjoy working here

Good employer

Learn more about Lyftexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio - a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built.
You will be the analytical partner to our Sales and account teams - someone who can translate findings into a clear narrative for both technical and non-technical audiences.
Responsibilities:
  • Build the tools and analytics sales leaders use to grow their accounts - pacing views, account-health signals, territory and segment views that change what a rep or manager does next
  • Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope
  • Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate - or an AI agent - can use them without asking you first
  • Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question
  • Contribute to the internal tools and semantic layer - prompts, context, and guardrails - that let stakeholders query B2B data in natural language and trust what comes back
  • Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences
Experience:
  • Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields
  • 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization
  • Proficiency in SQL - able to read, write, and review structured, efficient queries on large data sets, whether you wrote them yourself or an AI coding assistant did; you own the correctness of every query and result before it reaches stakeholders
  • Experience building production data assets - pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) - not only ad-hoc analysis
  • Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar
  • Experience with sales or account analytics - pipeline, bookings, pacing to target, account segmentation - is a strong plus
  • Experience with Python for data analysis and automation is a strong plus
  • Commercial instinct paired with a builder's instinct - a track record of turning a recurring request into a durable tool or dataset instead of answering it one more time
  • A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
  • Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
  • Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
  • A strong attention to detail and a commitment to data accuracy and integrity
  • Ability to collaborate across functions, manage competing priorities, and drive projects to completion
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $98,000 - $122,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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About Lyft

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At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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Benefits

Hours and flexibility

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