Full-Time

Senior Data Analyst

Confirmed live in the last 24 hours

WGU

WGU

Compensation Overview

$73k - $109.4kAnnually

+ Bonus

Senior

Nashville, TN, USA

This position will work 'In-Office' once a dedicated space in Nashville, TN is established.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Python
SAS
R
SQL
Tableau
Scala
Data Analysis

You match the following WGU's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Strong written, oral, presentation, and interpersonal skills, including the ability to explain the significance of data and trends to stakeholders.
  • Ability to manage tasks independently while working in a team environment.
  • Ability to use SAS, R, or Python to run multivariate and other statistical analyses.
  • Ability to create data dashboards and visuals using a tool like Tableau.
  • Ability to create datasets for analysis & reporting using SQL, Python, R, or Scala.
  • Ability to explain analysis results to non-technical audience.
  • Ability to manage multiple ongoing data projects.
  • Problem Solving Skills: Investigates appropriate resources and involves partners when appropriate; future-oriented; assesses what will help/hinder achieving goals; focuses on what is important.
  • Interpersonal Skills: Deals with others in a considerate, respectful, and unbiased manner; approaches conflict proactively; solicits and shares feedback openly; listens with empathy and maintains composure.
  • Accuracy: Draws on information garnered from careful cultivation of a broad knowledge of WGU’s goals and processes; investigates beyond assumptions.
  • Adaptability: Course corrects behaviors and communication style to meet the needs of a wide range of situations; tackles obstacles appropriately; is comfortable with ambiguity.
  • Reliability: Accountable to others; does what it takes to get the job done; actions are consistent with words; follows through on commitments; exhibits exceptional integrity.
  • Attitude: Displays commitment to the organization and to personal growth; self-motivated and able to motivate and inspire others; asserts self appropriately to champion ideas; tells the truth in a direct and constructive manner.
  • Initiative: Self-directs with a strong bias for action; leads the way in improvement of performance or processes; displays keen interest in students and organization.
Responsibilities
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
  • Utilize strong analytical and product management skills to gain a thorough understanding of department technology needs and translate these into specific initiatives and short- and long-range plans.
  • Analyzes and interprets diverse sets using a variety of statistical methods.
  • Uses various data analytics tools to clean, manipulate, and transform data for analysis.
  • Reports, explains, and presents statistical analyses using graphs, charts, and tables.
  • Uses understanding of data collection to design and implement new methods of measurement.
  • Stays informed of emerging trends in data science. Clearly communicates with users to assess needs and requirements for data products.
  • Designs and maintains visualization dashboards.
  • Pitches value of potential data products using functioning proofs-of-concept.
  • Works across academic colleges and programs to provide valuable data-informed insights on trends of performance metrics.
  • Performs other related duties as assigned.
Desired Qualifications
  • Master’s degree
  • Broad knowledge of project management

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