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Book Data Analyst Jobs in Minnesota (NOW HIRING)

Build and maintain a data-driven whitespace model across the full account portfolio, mapping ... Identify disparities within the book of business, such as whether representatives have equal ...

Build and maintain a data-driven whitespace model across the full account portfolio, mapping ... Identify disparities within the book of business, such as whether representatives have equal ...

... data sets into structured reports. * Experience with reporting utilizing 3rd-party vendor solution models applied in portfolio analytics such as Yield Book and/or BlackRock Aladdin. * Strong ...

... support data-informed decision-making within a fast-paced pharmacy environment. Job ... Orange Book requirements and third-party dispensing guidelines. * Monitor primary wholesaler ...

Senior Accountant

Minneapolis, MN ยท On-site

$92K - $115K/yr

The role is responsible for analyzing financial results, maintaining compliance with GAAP, and ... Book payroll data to general ledger and reconcile between HRIS and accounting systems * Track and ...

$102K - $135K/yr

Design for assemblyDesign for manufacturingQuality functional deploymentFinite element analysis dataDFMEACreates additional data sets as required by the program e.g. 2D drawing, section book ...

We deliver software solutions, data analytics and services for EMS, hospitals, community ... The Customer Success Manager will engage a large book of assigned clients to retain accounts and ...

We deliver software solutions, data analytics and services for EMS, hospitals, community ... The Customer Success Manager will engage a large book of assigned clients to retain accounts 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.

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.

What are popular job titles related to Book Data Analyst jobs in Minnesota? For Book Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Book Data Analyst jobs? Cities in Minnesota with the most Book Data Analyst job openings:
Infographic showing various Book Data Analyst job openings in Minnesota 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.

Commercial Operations Analyst

IDeaS

Minneapolis, MN โ€ข On-site

Other

Re-posted 22 days ago


Job description

Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization.
Now we just need you!
**Must be local to Minnesota and have the ability to be in office 3 days/week**
The Commercial Operations Analyst is a dedicated analytical role sitting directly within the Account Management organization. It is a commercial partner who uses data to drive better planning, improve deal outcomes, and make the Account Management team sharper and more accountable. The role bridges the gap between rigorous analysis and field execution, translating complex data into decisions that Account Directors and leadership can act on.
What you'll be doing...
  • Build and maintain a data-driven whitespace model across the full account portfolio, mapping installed base coverage against total addressable spend at the account level (including penetration of expansion products).
  • Translate penetration gaps into quantified opportunity ranges that anchor account-based planning and the sales budget planning.
  • Analyze macro deal patterns to surface where pipeline stalls, at what price points deals accelerate, and which entry conditions predict larger expansion. Package these insights to inform marketing demand generation strategy and campaign targeting.
  • Own outcome reporting across demand generation motions, measuring pipeline contribution, conversion by campaign type, and revenue attribution so investment decisions are grounded in closed-loop data.
  • Develop rep-level analytics covering average deal length, stage velocity, close rate by deal size, and probability modeling by rep cohort and tenure. Identify positive outliers whose patterns can be replicated and negative outliers that represent coaching opportunities.
  • Use baselines to build more accurate pipeline-to-revenue conversion models that improve forecast precision and reduce end-of-quarter differences. Identify disparities within the book of business, such as whether representatives have equal opportunities for growth and where any equity gaps occur.
  • Serve as the embedded expense partner for Account Management operating costs, tracking actuals versus budget monthly, flagging categories running ahead of plan, and proactively surfacing pull-in or reallocation recommendations before quarter-end.
  • Deliver a concise monthly spend brief to leadership with variance commentary and forward-looking risk and opportunity flags. Own the relationship with Finance on Account Management budget matters as needed. Offer budgetary recommendations to assist leadership planning expenses and adjusting future spend.
  • Validate Salesforce data to ensure accuracy and reliability and identify data discrepancies with clear recommendations to improve upstream data inputs.
  • Reconcile differences between budgets, forecasts, and actual results to highlight material variances and inform impacted teams.
  • Assess the effectiveness of budget and forecast methodologies-such as data-driven whitespace modeling-by comparing outputs to actual performance. Surface opportunities to improve forecast and budget accuracy through insight-driven analysis and continuous validation against real outcomes.
  • Partner directly with Account Directors when they are preparing their budgets by leveraging existing and new budget calculation models.
  • Support the Account Management leadership with their quarterly and annual budget reviews by consolidating performance, financial, and operational data from multiple sources into clear executive-ready materials.
  • Analyze trends, variances, risks, and key drivers, translating detailed data into concise insights and recommendations aligned to strategic priorities.
  • Coordinate inputs from Account Directors, Finance, Contract Admin and Regional leaders to ensure accuracy, consistency, and alignment across all materials.

What you'll bring to us...
  • 5+ years in a data-driven analytical role, ideally supporting a Go to Market, Account Management, or Client-facing team; BizOps, RevOps, or commercial analytics backgrounds are a strong fit
  • Strong global acumen with experience coordinating stakeholders across multiple time zones and cultures.
  • Demonstrated experience building models and analyses that influence business decisions, not just reporting on them
  • SQL proficiency and fluency in BI tools (Tableau, Power BI, or equivalent)
  • Comfort working directly with Account Management leadership; able to push back constructively on Account Director's assumptions
  • Strong communication skills that translate complex analysis into clear executive narratives and actionable recommendations
  • Experience in a SaaS or subscription business; familiarity with ARR, NRR, and expansion metrics strongly preferred
  • High ownership mindset; thrives in an embedded, cross-functional environment without heavy top-down structure
  • Requires commercial savvy and clear understanding of customer goals and revenue drivers.
  • Bachelor's degree in business, Statistics, Finance, or related industry.
  • Strong business acumen with the ability to assess current strategies, identify trends, and anticipate their impact.
  • Ability to manage multiple, and sometimes conflicting priorities. Strong self organization capability.
  • Ability to work and learn independently.
  • Good command of written and spoken English.
  • Prefer knowledge of Salesforce.
  • Equivalent combination of education, training, and relevant experience may be considered.

We Support Who You Are....
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment. IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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