Lead Data Analyst

We are seeking a Lead Data Analyst to join our team at Craft Education. As a Lead Data Analyst, you will be responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research.

The salary range for this position is $91,000.00 - $136,400.00.

Primary Responsibilities

• Drives the documentation of data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders.
• Leads the translation of user stories into technical requirements.
• Establishes trust and builds strong relationships with cross-functional partners and senior stakeholders.
• Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
• Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
• Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
• Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
• Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
• Participates in the definition of data visualization standards and best practices and promotes their adoption across the university.
• Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats.
• Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
• Writes and interprets technical documentation.
• Contributes actively to the development of the university’s data management platforms.
• Plays a prominent role in other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
• Drives tasks, activities, and medium-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
• Tracks and reports own progress, dependencies, and challenges diligently.
• Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning.
• Supports leadership in strategic planning and contributes to operational excellence across the department.
• Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
• Identifies data security risks when dealing with concrete data sets and takes adequate mitigation actions.

Qualifications

• Advanced SQL proficiency, with experience writing queries and subqueries, modifying, creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
• Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps.
• Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent.
• Comfortable with common project management methodologies and frameworks.
• Proficient in the MS Office suite, including advanced Excel knowledge.
• Proficient in flowchart and diagramming tools.
• Familiarized with the university’s most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking.
• Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions.
• Ability to perform with very high levels of autonomy, reliability, self-direction, and with a bias for action.

Education

• Bachelor’s degree in a related discipline

Experience

• 7 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.