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Director of Business Intelligence Analytics

Company: Pearson
Location: Honolulu
Posted on: April 6, 2021

Job Description:

Director of Business Intelligence Analytics Honolulu , Hawaii Director of Business Intelligence Analytics - ( 2104706 ) Description Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose - to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world's leading learning company. Learn more at pearsonplc.com. Pearson is featured on The Forbes list of Best Employers and The Stonewall Top 100 Employers list, and we are recognized in the Best Employers for Diversity 2019 awards. Pearson is listed on both the London and New York Stock Exchanges (UK: PSON; NYSE: PSO). Context The shift within Higher Education from one-time purchases of print textbooks to recurring subscriptions of digital products has generated a wealth of data about our products and customers. We need a leader who can take this information and leverage the latest data analytics tools to provide insight into the performance of our product portfolio. Reporting to the Vice President of Business Intelligence, and sitting within the Strategy, Planning and Operations team, the Director of Business Intelligence Analytics role leads the analyses of the sales pipeline, net sales, subscriptions, and market data across multiple formats, models and channels to evaluate and forecast how well we are meeting the demand for our offerings in the market Responsibilities Lead a global team of 5 data analysts to provide accessible, consumable insight into the success of our higher education print and digital products. Collaborate broadly across product, marketing, sales, finance, support, and other stakeholders to ensure that we are leveraging data to make informed strategic decisions about the North America Higher Education portfolio. Manage the complete lifecycle of a large and growing collection of Tableau dashboards, ensuring that useful views are maintained with the latest features and capabilities, while consolidating or retiring those that are longer needed. Provide ad-hoc reports for a global, diverse group of senior executives. Partner closely with multiple data engineering teams as a key stakeholder for roadmap requests that will advance our ability to derive insight from data. Champion a culture that leverages data at every level of our decision-making processes, while constantly pushing iterative improvements, and never letting perfection be the enemy of the good. Push our analytics capabilities from self-service, 'pull' analyses to predictive and early-alert 'push' insight into product, sales, and market trends. Improve our forecasting capabilities by drawing from a number of disparate data sets. Essential Skills include: Detailed understanding of the sales business process, including lead generation, opportunity pipeline management, and customer segmentation. Ability to translate business needs and use cases into technical specifications and functional requirements for the data engineering and warehousing teams, while also being capable of explaining those same topics to non-technical members of the leadership team. Familiarity with how the different verticals within a large, global organization come together to drive business success, with insight into how data is used for decision making from product ideation to development, launch, marketing, sales, operations, and support. Comfort in embracing the wild, messy data that is inherent in legacy and third-party platforms utilized by a global company spanning multiple silos and geographies. Understanding of technical debt, and how to ensure that we are always moving forward while simplifying and standardizing when needed. Excellent interpersonal and communication skills, including the ability to articulate complex topics and thoughtfully present them to senior leaders of the firm. Strong time-management and organizational skills to balance multiple competing priorities. Background with ETL logic and data modeling concepts. The anticipated starting salary range for Colorado-based candidates expressing interest in this position is $132K. This position is eligible to participate in an annual incentive program. Benefits available to eligible employees can be seen at: https://pearsonbenefitsus.com/Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply. Qualifications Requirements Bachelor's degree in business, finance, or computer-related program 10 years of experience in a technical data role, such as analyst, engineer, architect, or scientist 8 years of experience with multiple versions of SQL 3 years of experience in leading a data analytics team 2 years of experience building and maintaining Tableau dashboards Preferred Proficiency with Salesforce Sales Cloud Exposure to cloud databases such as Google BigQuery or Snowflake Experience with machine learning concepts such as predictive modeling, categorization, and clustering Background with programming in a language such as R or Python If you are a qualified individual with a disability and are unable or limited in your ability to use or access this site as a result of your disability, you may request reasonable accommodations by emailing ppsmhr@pearson.com . Please follow the links to "EEO is The Law" , which describes the Federal laws prohibiting job discrimination based on race, color, sex, national origin, religion, age, equal pay, disability or genetic information, and the "EEO is the Law Supplement" which has additional information for Federal Contractors. The Pay Transparency Nondiscrimination Provision provides applicants and employees notice that Pearson will not discriminate against them for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers. Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and/or expression, genetic information, disability status, veteran status, national origin or any other characteristic protected by law.

Keywords: Pearson, Honolulu , Director of Business Intelligence Analytics, Executive , Honolulu, Hawaii

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