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Data Analyst - Enterprise Data Warehouse, Full-time, Days in Chicago, IL at Shirley Ryan Abilitylab

Date Posted: 10/7/2018

Job Snapshot

Job Description

General Summary

The Data Analyst will be part of the Data Innovation and Analytics Lab (DIAL). Responsible for data analytics to support the needs of the business units by utilizing the Enterprise Data Warehouse.   The Data Analyst/Informatics Specialist will work with cross-functional team of stakeholders at the Shirley Ryan AbilityLab, to help gather insights for research, quality, operations and outcomes.

The Data Analyst will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.

The Data Analyst will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.

Principal Responsibilities

The Data Analyst:

  1. Gathers, profiles, and analyzes data to support requirements analysis and/or analytics.
  2. Collaborates with technical experts and business units to determine the best possible reporting/dash-boarding mechanisms.
  3. Analyzes data and generates reports that ensure data integrity by applying statistical methods.
  4. Performs data manipulation on large sets of data to extract actionable insights.
  5. Combines data from different sources and conducts source to target mapping
  6. Identifies trends and patterns in data and creates data visualizations
  7. Performs complex analysis including statistical regression and forecasting
  8. Drives analytical rigor across the organization to guide decision making
  9. Performs other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships

  1. Reports directly to the Chief Data Officer as part of the Data Innovation and Analytics Lab (DIAL).

Job Requirements

  1. Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering or related field. Masters preferred
  2. Minimum of 2 years of related experience in a corporate IT environment with a comprehensive knowledge of database tools (e.g. FRWin, SQL, Oracle, Excel, etc.) and continues developing professional expertise. Experience with data modeling, a plus.
  3. Healthcare experience highly desired, especially familiarity with ICD-9,10, CPT and other healthcare vocabularies
  4. Able to use professional concepts and apply company policies/procedures to work on problems/issues of moderate scope where analysis of situations or data requires a review of a variety of factors.
  5. Able to exercise judgment within defined procedures and practices to determine appropriate action.
  6. Hands-on experience with statistical software packages and data mining tools (e.g. SAS, R, SPSS, Weka, Rapid Miner, etc.)
  7. Hands-on experience with industry leading data visualization and BI tools (e.g. Business Objects, Microsoft, Cognos, Tableau, OBIEE, Qlickview, etc)
  8. Strong strategic, analytical, technical, and project management skills
  9. Demonstrated ability in engaging and communicating with stakeholders, across both business and technology functions.

Working Conditions

  1. Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

SRAlab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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