Overview
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
MongoDB is seeking an experienced Sr. Data Analyst to join the MongoDB Education team. In this new role, you will be responsible for analyzing data, interpreting results, and providing actionable insights to drive informed decision-making across the department. You will work closely with stakeholders to understand their business challenges and data needs, develop analytical solutions, and present findings in a clear and concise manner. To give context and meaning to the data you will develop a deep understanding of the MongoDB Education department, including program offerings, learning platforms, content catalog, and the learning experience. This role is essential to driving the MongoDB Skills initiative forward by turning raw data into actionable insights that empower account teams to strategically upskill customers and accelerate account growth.
Responsibilities
Data Collection and Processing
- Collaborate with Engineering to develop automated data collection methods
- Extract, transform, and load (ETL) data from various sources
- Clean and preprocess data to ensure accuracy and consistency
- Develop scripts and workflows to automate data processing tasks
Data Analysis and Interpretation
Perform exploratory data analysis to uncover trends, patterns, and anomaliesApply statistical and analytical techniques to derive insights from complex datasetsDevelop and implement predictive models using machine learning algorithms, including regression, classification, clustering, and time series forecasting, using both supervised and unsupervised learning techniques to analyze dataData Visualization and Storytelling
Collaborate with Engineering to create visually appealing and interactive dashboards and reportsCraft and present compelling narratives around the data, using visuals and explanations to illustrate the story behind the numbersData Quality Assurance
Validate data accuracy, completeness, and integrityIdentify and address data quality issues and discrepanciesImplement data quality controls and monitoring mechanismsBusiness Intelligence and Decision Support
Analyze data to develop a deep understanding of the learning behavior of our customers and provide actionable insights to account teams to help them drive learning engagement and close the skills gap within their accountsCreate processes, sharable workflows, documentation, and a data glossary to help democratize data across the department and empower teams to make data-informed decisionsDevelop methods to measure the impact of learning engagement and customer enablement on business metrics including support cases and account growthExplain fluctuations in metrics and the implications of the changesTransform complex data findings into clear, concise, and understandable insights for business leadersConduct scenario analysis to evaluate the potential impact of different strategies and decisionsIdentify and assess risks based on data analysis to mitigate potential issues and capitalize on opportunitiesJob Qualifications
Requirements :
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related fieldProven experience in data analysis, business intelligence, or related rolesExtensive experience developing, sharing, and automating analytics workflows in Alteryx, Knime, or DataikuExperience with MongoDB or document databases, or the ability to quickly learn the basics of MongoDB AtlasStrong analytical and problem-solving skills with attention to detailExcellent communication and presentation abilitiesExcellent critical thinking skills and the ability to anticipate problemsAbility to work independently and collaboratively in a fast-paced environmentProficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.)Bonus Points :
Experience working with learner engagement data for customer education or technical enablement programsExperience with data visualization tools (e.g., Tableau, Power BI, etc.)Knowledge of AI solutions for data analysisAlteryx, Knime, or Dataiku CertificationMongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID : 3263255761
MongoDB’s base salary range for this role in Canada is :
$72,000 — $100,000 CAD
All other application-related content has been removed to improve readability and compliance.
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