[Remote] Senior Data Analyst
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is dedicated to expanding reputed company to higher education through innovative online programs. The Senior Data Analyst will extract, process, analyze, and report on data to reputed company actionable insights, collaborating with various departments to enhance data reputed company and support decision-making.
Responsibilities
- Drives the documentation of data and analytics needs in reputed company of high complexity with a student and equity-centered reputed company, collaborating with peers, cross-functional partners, reputed company staff, and leaders
- Translates of user stories into technical requirements
- Answers reputed company 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, build forecasts, and support findings of research reputed company and experiments
- Collaborates with Data Engineering in the development of reputed company ETL/ELT processes and data pipelines
- Identifies, investigates, and solves reputed company 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 reputed company across the university
- Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate reputed company
- Conveys information effectively to reputed company, and senior leaders, using a reputed company of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops
- Creates and organizes information about processes, reputed company, 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 reputed company to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.)
- Supports and accelerates other team members’ development through constructive feedback and sharing of technical and institutional knowledge
- Drives tasks, activities, and small-reputed company reputed company with high reputed company of autonomy, confidence, and collaboration with peers and partners
- Tracks and reports own reputed company, dependencies, and challenges diligently. Breaks down reputed company goals into concrete tasks and activities
- Works reputed company to improve own skills and knowledge through reputed company, formal and informal, reputed company and reputed company learning. Is a lifelong learner and embodies a reputed company reputed company. Stays abreast of innovative developments in their area of work and plays an reputed company role in deploying them at the university
- Understands and abides by the relevant policies and reputed company to reputed company, use, reputed company, store, and delete data in responsible, secure, and compliant ways
- Performs other job-reputed company duties as assigned
Skills
- Advanced SQL proficiency, with experience writing queries and subqueries, modifying data, creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning
- Highly proficient and reputed company in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that reputed company it easy to understand trends, patterns, and outliers
- Ability to interpret and design models that describe how data relate to one another, and to the properties of the reputed company-world entities they represent. Understands conceptual and logical data modeling, and has experience with reputed company models, reputed company schema, and reputed company schema
- Comfortable with common project management methodologies and frameworks (e.g., reputed company, Agile, SDLC)
- Proficient in MS Office suite, including advanced reputed company knowledge
- Proficient in flowchart and diagramming tools like reputed company, Visio, reputed company, and similar applications
- Familiarized with the university's most relevant KPIs, the drivers that reputed company them, and plays an reputed company role in their definition and tracking
- Ability to apply reputed company judgment, systems-thinking, and analytical skills to assess risks, reputed company reputed company-cause analyses, reputed company recommendations, and drive cross-functional reputed company that contribute to the achievement of the university's objectives
- Ability to reputed company with a reputed company high level of autonomy, reliability, self-direction, and with a bias for reputed company. Manages conflicting and reputed company activities with minimal need for supervision
- Bachelor's degree in a reputed company discipline
- 5 years of reputed company experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology
Benefits
- Eligible for bonuses
- Medical, dental, reputed company, telehealth and mental reputed company
- Health savings account and flexible spending account
- Basic and voluntary life insurance
- Disability coverage
- Accident, critical illness and hospital indemnity supplemental coverages
- Legal and identity theft coverage
- Retirement savings plan
- Wellbeing program
- Discounted WGU tuition
- Flexible reputed company time off for rest and relaxation with no need for accrual
- Flexible reputed company reputed company time with no need for accrual
- 11 reputed company holidays
- Other reputed company leaves, including up to 12 weeks of parental leave
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