Lead Data Analyst - Craft Education

Back Lead Data Analyst - Craft Education Western Governors University Nashville, TN, United States 1 day ago Discuss this with your agent Open in Claude Open in ChatGPT Copy prompt Apply on myworkdayjobs Prepare application Draft this with your agent Open in Claude Open in ChatGPT Copy prompt Role details Contract type Permanent contract Employment type Full-time (> 32 hours) Experience level Expert Experience required 7 years minimum Compensation $91,000.0 - $136,400.0 Working hours Regular working hours Job source myworkdayjobs Tech stack Microsoft Excel 3d Models Agile Methodology Data Analysis Cognitive Psychology Customer Data Management Data Dictionary Information Engineering Data Files Extract Transform Load (ETL) Data Security Data Visualization +17 more Database Queries Digital Assets Dimensional Modeling Entity Relationship Models Microsoft Office Microsoft Visio Performance Tuning Systems Development Life Cycle Power BI Lucidchart SQL Databases Tableau (Software) Sql Optimization Star Schema Physical Data Models Interactive Whiteboards Data Pipelines Job description The Lead Data Analyst for Craft (the employer's site) is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action. This position will be expected to work in the Craft office located in Downtown Nashville.. 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. Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university. 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 (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops. 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 (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models). Contributes actively to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.). 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. Breaks down complex goals into concrete tasks and activities, and actively supports leaders in project planning. Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university. 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. Performs other job-related duties as assi