GENERAL SUMMARY

The Data Analyst/Engineer 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/Data Engineer/Informatics Specialist will utilize data science to 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/Engineer 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/Engineer 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/ENGINEER:

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 and data science 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).

KNOWLEDGE, SKILLS & ABILITIES REQUIRED

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 with a comprehensive knowledge of data modeling and database tools (e.g. FRWin, SQL, Oracle, Excel, etc.) and continues developing professional expertise.
3. Data cleaning, engineering, munging, experience with scripting and programming languages such as Python, PERL, Ruby, php, Java, R/Shiny, etc.
4. Familiarity with Visualization and web development such as CSS, JavaScript, D3/Node.js, Ajax, etc.
5. Healthcare experience highly desired, especially familiarity with ICD-9,10, CPT and other healthcare vocabularies
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 PowerBI, Cognos, Tableau, OBIEE, Qlickview, Knowi, 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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Required Skills Required Experience

• Strong Analytical Skills
• Fluent English
• Team Player
• Good communication skills