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Data Analytics Analyst (Information Systems Analyst 2)
University of Connecticut
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Data Analytics Analyst (Information Systems Analyst 2)

University of Connecticut

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Details
Posted:
March 14, 2020
Location:
Connecticut
Salary:
Unpaid
Categories:
Academic/Faculty, Education
Preferred Education:
Bachelor’s
We are looking for passionate analytics innovators to be a thought leader and sounding board to analyze business drivers/impacts to design and develop visualizations and dashboards, conduct data mining and exploration, and create and mature descriptive, predictive, and prescriptive analytical models and approaches. The right person is one who can continuously push the envelope and demonstrate how to turn data into information and information into insight to guide stakeholders towards improving healthcare services outcomes.

This position will work as a member of diverse business, technology, and analytics team to implement data, analytics, and information management solution components for the State of Connecticut's Health Information Exchange (HIE) and Core Data Analytics Solution (CDAS).

UConn AIMS, working with the State of CT's Office of Health Strategy (OHS), is leading the design, development, and implementation of the Core Data Analytics Solution (CDAS), which will leverage leading-edge technologies to curate, process, and enhance large amounts of healthcare data to fuel the analytics to support state-wide healthcare initiatives.

DUTIES AND RESPONSIBILITIES
  • Interact and coordinate with diverse business stakeholders and technology teams to structure and drive workshops and informational sessions that promote collaboration, synergy, and achieve desired outcomes for assigned business initiatives.
  • Implement a user-centered approach using ideation, use cases, wire frames, prototyping, storytelling, concept visualization, and problem-solving skills to create effective analytical approaches, visualizations, and dashboard for the delivery and operations of innovative analytics and information management solutions.
  • Perform root cause analysis, trace quality problems to their source and analyze business impacts of data quality issues.
  • Use advanced analytical tools to perform exploratory analysis to derive actionable insights from healthcare data: identify, analyze and interpret trends, patterns and insights.
  • Develop analytical capabilities such as business process mapping, data analysis, data testing, data wrangling, data transformations, and data modeling to build data assets that enable business value generation.
  • Apply robust and appropriate statistical and clinical rigor using advanced analytic techniques including but not limited to groupers, risk adjustment, episode analytics, statistical modeling, power analysis, matched case control studies, etc.
  • Build knowledge and use established best practices around Descriptive, Predictive, and Prescriptive Analytics.
  • Work in a fast paced environment and deliver solutions as part of a Scrum Team following Agile Analytics development processes.
  • Adapt to change, learn and develop new skill sets as applicable
  • Perform other duties as assigned.

    • MINIMUM QUALIFICATIONS
  • Bachelor's degree (or equivalent) in Data Analytics, Informatics, Data Science, or a related Science, Technology, Engineering and Mathematics¿ (STEM) discipline.
  • Demonstrated experience with data capture and data/information analysis to develop concept designs through use cases structures and fundamental principles of visual and interactive designs.
  • Demonstrated ability to provide actionable insights from data and make recommendations for improved business performance.
  • Experience working with data analysis, exploration, transformation and visualization tools (such as Tableau, Qlik, R, or Python), relational databases, and database/SQL querying capabilities and knowledge of programming (XML, JavaScript, or ETL frameworks).
  • Demonstrated history of business stakeholder focus, managing complexity, dealing with ambiguity and strong verbal and written communication skills.
  • Knowledge of healthcare ecosystem and healthcare data (such as clinical, labs/tests, medical and pharmacy claims, administrative, and reference).
  • Experience with organization and problem-solving to identify risks/issues, conduct root cause analysis, develop mitigation courses of action, and conduct risk/issue mitigation.
  • Proven success in a collaborative, team-oriented environment following an Agile methodology such as Scrum/ Scaled Agile Framework.
  • Experience working with Microsoft Office Suite, such as Word, PowerPoint, Visio, and Excel.

    • PREFERRED QUALIFICATIONS
  • Master's degree in Data Analytics, Business Analytics, Informatics, Data Science, or a related Science, Technology, Engineering and Mathematics¿ (STEM) discipline.
  • Four-to-Six (4-6) years of experience in the design, development, and implementation of analytics, to include data capture and data/information analysis to develop concept designs through use case structures and fundamental principles of visual and interactive designs.
  • Two (2) years of experience working on projects following Agile development or Agile Analytics.
  • Demonstrated experience in healthcare data analytics, data mining, or data exploration.
  • Experience with geospatial analytics and analysis.
  • Demonstrated experience working with Tableau Creator (Desktop),Server data visualization and dashboard tools and systems.
  • Certifications: Tableau (such as Certified Desktop Specialist, Associate, or Professional) or Microsoft (such as Cloud, Data, SQL Server Querying, or Data Management and Analytics).
  • Experience with data and analytics solution approaches to enable data driven decision-making.
  • Experience with data capture and ingestion of healthcare clinical, claims, and administrative data integration.
  • Demonstrated experience working directly with healthcare focused stakeholders or knowledge of existing state-based Health Information Exchanges (HIEs).
  • Proficient in requirements management, project management, and quality assurance tools.
  • Prior experience with database and model design and segmentation techniques.

    • APPOINTMENT TERMS

    These are full-time, grant-funded positions that are subject to annual renewal depending on available funding and job performance. The typical work schedule is Monday - Friday, 8:30 am - 4:30 pm. Salary will be commensurate on the successful candidates' background and experience. Work location is on the downtown Hartford campus.

    TO APPLY

    Please apply online at www.jobs.uconn.edu, Staff Positions, Search #493902. please submit an online application that includes a cover letter, a resume and contact information for three (3) professional references. Evaluation of applications will begin immediately.

    Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check.

    This job posting is scheduled to be removed at 11:55 p.m. Eastern time on July 27, 2020.

    All employees are subject to adherence to the State Code of Ethics, which may be found athttp://www.ct.gov/ethics/site/default.asp.



    The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

    See Job Description

    Internal Number: 493902-2276_1584027141
    About University of Connecticut
    The University of Connecticut is a national leader among public research universities, with more than 30,000 students seeking answers to critical questions in classrooms, labs, and the community. A culture of innovation drives this pursuit of knowledge throughout the University’s network of campuses. Connecticut’s commitment to higher education helps UConn attract students who thrive in the most competitive environments, as well as globally renowned faculty members. Our school pride is fueled by a history of success that has made us a standout in Division I athletics. UConn fosters a diverse and vibrant culture that meets the needs and seizes the opportunities of a dynamic global society.
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