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Senior Data Analyst - Strategy, K12 & Early Career
PearsonUnited States, United StatesRemotefull_timeVerifiedPosted 8 Apr 2025
💰 $110,000/yr($100,000/yr – $110,000/yr)
About the role
Job Title: Senior Data Analyst of Strategy, K12 & Early Career
Department: Strategy & Analytics
Location: Remote (No travel required)
Reports to: Director of Strategy, Analytics
Role Description:
As a Senior Data Analyst of Strategy, K12 & Early Career at Pearson, you will play a critical role in building and shaping the analytics function that supports Pearson’s K12 and Early Career business units. In this role, you will:
- Develop and execute data-driven insights: Use advanced data analysis techniques to support strategic planning and decision-making for K12 and Early Career initiatives. Identify trends, analyze market dynamics, and provide data-backed recommendations to drive growth and competitive advantage.
- Master K12 and Early Career datasets: Become an expert in both publicly available data and vendor-provided datasets to inform key business decisions. You will leverage data to support product development, sales strategy, forecasting, and more.
- Create and refine reporting tools: Develop reporting mechanisms to track key performance indicators (KPIs) and measure the impact of strategic initiatives. Design dashboards and reports that provide business leaders with actionable insights.
- Conduct ad-hoc data analysis: Provide on-demand analytical support to business partners, answering questions as they arise and identifying new areas for analysis that can impact strategy and operations.
- Build analytics processes: Contribute to the development of the overall analytics infrastructure for the K12 and Early Career sectors. Collaborate with cross-functional teams to design processes that enhance reporting accuracy and efficiency.
- Present insights and recommendations: Communicate findings clearly and effectively through presentations and written reports. Regularly engage with senior leadership to provide insights that shape business strategy.
- Collaborate with leadership and cross-functional teams: Work closely with leaders in K12, Early Career, sales, and product development to address emerging business needs and provide custom solutions.
Qualifications:
Technical Proficiency:
- Python Expertise: Proficient in Python, including libraries such as pandas, NumPy, scikit-learn, XGBoost, Matplotlib, and Seaborn for data analysis and modeling.
- SQL & Data Manipulation: Strong experience with SQL for querying and processing large datasets.
- Excel Mastery: Advanced skills in Excel for data processing, modeling, and visualization.
- Data Visualization: Proficient in PowerPoint, with an emphasis on creating visually compelling presentations. Familiarity with Tableau or similar visualization tools is a plus.
Analytical Expertise:
- Strong ability to analyze large datasets, identify meaningful patterns, and translate findings into actionable business insights.
Creativity & Initiative:
- A proactive problem solver who thinks beyond standard analysis, identifies new opportunities, and develops creative solutions to complex challenges.
- Comfortable generating and driving new initiatives, exploring innovative approaches, and shaping data-driven strategies.
Communication Skills:
- Proven ability to effectively communicate complex data insights to both technical and non-technical stakeholders through presentations, reports, and written communication.
Initiative & Problem-Solving:
- Self-driven, with the ability to independently lead analytics projects, proactively identify areas for deeper analysis, and deliver high-quality results.
Experience:
- Prior experience in data analysis is beneficial, but we welcome candidates at various career stages who demonstrate strong technical skills and a passion for learning.
Why You'll Love This Role:
- Growth Opportunity: This is a new function, offering you the chance to shape the future of analytics for Pearson’s K12 and Early Career sectors.
- Impact: Your work will directly influence key business decisions and strategies across multiple departments.
- Remote and Flexible Work Environment: This is a fully remote role with flexible hours, providing a supportive work-life balance.
- Collaboration and Visibility: You will work closely with senior leadership and cross-functional teams, gaining valuable exposure across the organization.
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