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Data Analyst

We are looking for an experienced Data Analyst with expertise in Data Build Tool (dbt) to join our team. In this role, you will be responsible for transforming raw data into data models and documentation conducive to self-serve reporting (and chatbots). The ideal candidate will have a strong understanding of data modeling, Data Warehouse architectures, SQL, and a proven track record of leveraging dbt to streamline the data transformation process.

What you'll do:

  • Use dbt to develop, manage, and optimize data transformations in the Data Warehouse. Design data models that support business intelligence (BI) canned and self-serve reporting needs.
  • Work with raw data from multiple sources, clean and structure it using transformations with dbt models, and make the transformed data accessible in the Self-Serve layer.
  • Analyze datasets to diagnose data issues, integrate new data, uncover trends, patterns, and actionable insights. Collaborate with business stakeholders to identify data needs and deliver valuable self-serve data models and supporting documentation (e.g., Data Glossary).
  • Implement testing frameworks in dbt to ensure data accuracy and integrity across all transformations. Use dbt's built-in testing and documentation features to maintain high data quality standards.
  • Work closely with data analysts, business analysts, business intelligence developers, and data scientists to create clear and actionable visualizations using tools such as Tableau or Power BI.
  • Partner with cross-functional teams (such as data engineering, software engineering, AI Engineering, product, marketing, and DevOps) to understand the business' data requirements and deliver efficient and effective solutions with high data quality.
  • Maintain clear and up-to-date documentation of dbt models, data flows, transformation logic, and a Data Glossary that maps back to source systems (where applicable). Advocate for best practices in data modeling and transformation processes.
  • Stay current with new features in dbt, and continuously look for ways to improve the data pipeline and transformation processes for better performance and scalability.

What you'll bring:

  • Proficiency in SQL for analyses, troubleshooting, and data transformation.
  • Hands-on experience with dbt for building and managing data models, transformations, and tests.
  • Familiarity with cloud-native Data Warehouse platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Solid understanding of data modeling techniques, data normalization, and structuring data in a way that facilitates analysis.
  • Ability to design and implement dbt models that support efficient and reliable data workflows.
  • Experience with data reporting or data visualization tools like Power BI, Tableau, or Cognos to analyze reports and dashboards for stakeholders.
  • Strong analytical skills with the ability to extract insights from complex datasets and present them to non-technical stakeholders.
  • Excellent communication skills, with the ability to work cross-functionally with technical and non-technical teams.
  • Ability to document processes and create clear explanations of complex data workflows.

Ideal education/experience:

  • Bachelor's degree in Computer Science, Statistics, Economics, Data Science, or a related field or comparable work experience.
  • 8+ years of experience as a Data Analyst with 3+ years of experience working with dbt and data transformation processes.
  • Experience with Data Warehouses such as Snowflake, BigQuery, or Oracle.

This position will have an hourly rate up to $95/ hour. The successful candidate will be employed through Headway Workforce Solutions.

Macmillan Publishers is the U.S. trade company that is part of the Holtzbrinck Publishing Group, a large family-owned group of media companies headquartered in Stuttgart, Germany. Holtzbrinck Publishing Group's publishing companies include prominent imprints around the world that publish a broad range of award-winning books for children and adults in all categories and formats.

U.S. publishers include Celadon Books, Farrar, Straus and Giroux, Flatiron Books, Henry Holt & Company, Macmillan Audio, Macmillan Children’s Publishing Group, The St. Martin's Publishing Group, and Tor Publishing Group. In the UK, Australia, India, and South Africa, companies in the Holtzbrinck Publishing Group publish under the Pan Macmillan name. The German publishing company, Holtzbrinck Deutsche Buchverlage, includes among its imprints S. Fischer, Kiepenheuer & Witsch, Rowohlt, and Droemer Knaur.

We are an Equal Opportunity Employer. We are actively seeking job applicants who reflect a broad representation of differences, including race, ethnicity, religion, sex, sexual orientation, gender identity/expression, physical ability, neurodiversity, age, family status, economic background and status, geographical background and status, and perspective. We believe that the best companies reflect the incredible diversity in viewpoints, backgrounds, and identities of the world in their staffs, and are committed to inclusive hiring across departments and levels. The successful candidate for this position will be an employee of Macmillan Publishing Group, LLC.

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What You Should Know About Data Analyst, Macmillan Learning

If you're a passionate Data Analyst with a knack for transforming data into actionable insights, we want you on our team at Macmillan Publishers! As part of our thriving New York office, you'll utilize your expertise in Data Build Tool (dbt) to turn raw data into efficient data models and support self-serve reporting. You'll be at the forefront of our data initiatives, developing, managing, and optimizing transformations within our Data Warehouse, all while ensuring top-quality standards. Your days will be filled with analyzing datasets to uncover trends and collaborate with a wide range of stakeholders to understand their data needs. We need someone who’s not just proficient in SQL, but also familiar with cloud-native platforms like Snowflake or BigQuery. The ideal candidate will have experience with daily data challenges, from cleaning and structuring data to designing user-friendly data models. Your role will also involve implementing testing frameworks in dbt to maintain data accuracy and integrity, advocating for best practices, and staying up-to-date with new features in dbt. Working closely with cross-functional teams, you’ll deliver clear, insightful visualizations using tools like Tableau or Power BI. If you have a Bachelor's degree in a relevant field and over 8 years of Data Analyst experience, including 3+ years with dbt, you could be the perfect fit for our dynamic team. Join Macmillan Publishers and help us shape the future of publishing through data-driven decisions!

Frequently Asked Questions (FAQs) for Data Analyst Role at Macmillan Learning
What responsibilities can a Data Analyst at Macmillan Publishers expect to have?

As a Data Analyst at Macmillan Publishers, your key responsibilities will include transforming raw data into actionable data models using Data Build Tool (dbt), ensuring data accuracy, and collaborating with various teams to meet data needs. You'll be analyzing datasets, conducting thorough testing, and providing support for self-serve reporting, ultimately helping the organization leverage data for informed decision-making.

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What qualifications are required for the Data Analyst position at Macmillan Publishers?

To qualify for the Data Analyst role at Macmillan Publishers, candidates should possess a Bachelor's degree in Computer Science, Statistics, or a related field, alongside at least 8 years of experience as a Data Analyst. A proven track record with dbt and familiarity with cloud-native Data Warehouse platforms like Snowflake or BigQuery are vital for your success in this role.

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How does a Data Analyst ensure data accuracy within their work at Macmillan Publishers?

At Macmillan Publishers, a Data Analyst ensures data accuracy by implementing testing frameworks within dbt, utilizing its built-in testing and documentation features to maintain high data quality standards. This includes continuously monitoring data transformations and validating outputs to uphold integrity in all analytical processes.

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Which data visualization tools are preferred for the Data Analyst role at Macmillan Publishers?

A Data Analyst at Macmillan Publishers should be experienced with data visualization tools such as Tableau, Power BI, or Cognos. Proficiency in these tools is essential for creating clear and actionable visualizations that facilitate informed decision-making among stakeholders.

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What kind of work environment can a Data Analyst expect at Macmillan Publishers?

A Data Analyst at Macmillan Publishers can expect a collaborative and inclusive work environment. You'll work closely with cross-functional teams, including data engineers and business analysts, in a culture that prioritizes diverse perspectives and promotes innovative solutions to data challenges.

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Common Interview Questions for Data Analyst
Can you describe your experience with dbt as a Data Analyst?

When answering this question, focus on specific projects where you've utilized dbt for data transformations. Highlight your skills in modeling, testing, and managing dbt workflows, and illustrate how you've leveraged dbt’s features to improve data accuracy and efficiency.

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How do you approach data cleaning and structuring in your analysis?

Discuss your methodology for data cleaning, emphasizing the tools and techniques you employ. Specify how you identify issues, transform data for analysis, and ensure that the structured data is user-friendly for stakeholders, bolstering your answer with relevant experiences.

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What strategies do you use for effective collaboration with cross-functional teams?

Share examples of how you've successfully worked with diverse teams in past positions. Focus on your communication style, your approach to understanding various data needs, and how you adapt your analyses to facilitate collaboration, ensuring you demonstrate your interpersonal skills.

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Can you give an example of a complex dataset you analyzed and the outcome?

Prepare a narrative that outlines the context, your analytical approach, the tools you used, and the insights you garnered from the analysis. Emphasize the impact of your findings on business decisions or strategy to show your value as a Data Analyst.

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What are some key data modeling techniques you find most effective?

Discuss specific data modeling techniques you apply, such as star schemas or snowflake schemas. Share how these techniques help facilitate effective analysis and improve the clarity of your data workflows, drawing from examples of your prior experiences.

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How do you handle unexpected data discrepancies during analysis?

Explain your systematic approach to diagnosing unexpected discrepancies, such as tracking them back to their source. Include your follow-up process to rectify any issues and how you document these findings to prevent future occurrences.

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What visualization tools have you used and how do you employ them?

Detail your experience with tools such as Tableau or Power BI. Discuss how you choose the right visualization methods for different data sets, ensuring that your visualizations are informative and actionable for stakeholders.

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How do you stay current with advancements in data analysis and tools?

Discuss your commitment to continuous learning. Mention specific resources, such as online courses, webinars, or data communities you engage with to stay updated on industry trends and best practices in data analysis.

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What steps do you take to document your data processes effectively?

Articulate your documentation methods, emphasizing clarity and organization. Explain how thorough documentation supports both transparency and collaboration with other teams while ensuring compliance with data governance standards.

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Why is data integrity essential in your role as a Data Analyst?

Highlight the importance of data integrity in driving accurate business decisions. Discuss how you consistently ensure data accuracy in your analyses and the measures you take to advocate for data quality in organizational workflows.

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Macmillan Learning is a privately-held, family-owned education publishing and services company and because of that we’re able to focus on what’s most important—helping students of all abilities and backgrounds learn and succeed. Education creates ...

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April 6, 2025

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