Informatics/Data Analyst III – FM Informatics Analyst
Ithaca, NY 

Are you passionate about turning data into actionable insights? Join us as an Informatics/Data Analyst III in beautiful Ithaca, NY, where you'll play a pivotal role in driving innovation and excellence in Facilities Management (FM). As the FM Informatics Analyst, you'll collaborate with leadership, leverage diverse data sources, and craft compelling analyses that inform decision-making and elevate campus operations.

If you're ready to blend analytical expertise with creative problem-solving to shape the future of facilities at our world-class institution, we want to hear from you!

The Facilities Management (FM) Informatics Analyst uses a data-driven approach to provide facilities related analytical information to FM staff as well as campus partners. This position will guide the continuous improvement of FM operations through business and data analysis, modeling, metrics, interpretation, and recommendations.

Responsibilities include collecting, analyzing, and monitoring FM data to inform decision-making, planning, policy formation and evaluation of department’s effectiveness. The analyst will develop and maintain a cycle of routine data-based reports for FM and FCS leadership, collaborating with other offices across the University where necessary. This position will systematize and maintain a large and diverse archive of data files and assist colleagues in varying projects to develop and maintain facilities-related metrics and provide analysis of data results using various reporting tools and data sources. Design, develop and interpret benchmark and metric reports used to measure financial and operating performance in support of Colleges and Units. Understand and articulate root causes of changes in FM metrics.

Collaborate with FM leadership to gain broad knowledge of all FM functional areas and systems and understand business objectives to identify and implement business analytics that will inform and/or influence business decisions. Participate in the definition of an organized approach to performing business analysis tasks, including the development of defined methodologies, documentation standards, and process mapping. This includes developing analytical models and providing narrative reports to support, inform, and where appropriate include decision-making as well as formulating hypotheses and alternative explanations using diverse data sources to enable FM business operations to meet and exceed expectations. Assist in developing training programs in the principles of data-based decision making and data visualization for department management teams.

This is an Endowed position. The starting pay rate is $79,972 to $88,391 annually.

We are a value–based organization where all employees are accountable for supporting the organization’s values of truth, respect, excellence, teamwork, and integrity. Facilities and Campus Services employees are required to attend staff development trainings and participate in the performance evaluation process.

We require these qualifications:

Bachelor’s degree in economics, statistics, or related field with at least 3 years of experience working with large and complex data sets, or equivalent combination of education and experience.Experience with facilities project management and facilities maintenance operations.Strong experience in conducting data analysis to validate business processes.Strong experience in developing and deploying Cognos Reports for Maximo Solution.Working knowledge of Cognos Report Studio, Analysis Studio, Query Studio, Event Studio, Cognos Workspace, and KPI Dashboards.Experience in developing BIRT Reports and Adhoc Reports within Maximo.Experience with Tableau Software for data analysis and visualization.Experience in SQL Database queries development.Experience delivering solutions that align with business strategies.Ability to adapt to new computing systems.Experience working across computing platforms.Must appropriately handle confidential data. Requires accuracy and attention to detail. Excellent verbal and written communication skills, as well as strong presentation skills. Must be service oriented, demonstrate initiative and organizational commitment. Proven ability to work effectively both independently and with a team involved in projects where common goals are a must.

You will be a top candidate with our preferred qualifications:

Master’s degree.Data Warehouse development and management

No visa sponsorship provided for this position.

Rewards & Benefits:

Cornell provides great benefits that include educational benefits, access to a plethora of wellness programs, employee discounts with local and national retail brands, health care options to choose from, generous paid leave provisions: 3 weeks of vacation leave, health and personal leave, 13 holidays (including end of year winter break through New Year’s Day) and superior retirement contributions.

Cornell has also been nationally recognized as an award-winning workplace for our health, wellbeing, sustainability, and diversity initiatives. For more information click here.

Application Procedure:

Interested parties should submit a resume and cover letter describing qualifications on-line at https://hr.cornell.edu/jobs under staff positions section.

When applying through our system, please remember to attach resume and cover letter in either Microsoft Word or PDF format. In the Experience section of your application, use the ‘Drop Files Here’ box to manually drag document(s) into your application. For a more detailed description and instructions on how to apply online please click here.

  

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University Job Title:

Informatics/Data Analyst III

Job Family:

Administration

Level:

F

Pay Rate Type:

Salary

Pay Range:

$77,868.00 - $90,496.00

Remote Option Availability:

Hybrid

Company:

Endowed

Contact Name:

Catherine Baldessare

Job Titles and Pay Ranges:

Non-Union Positions

Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:

Prior relevant work or industry experience

Education level to the extent education is relevant to the position

Unique applicable skills

Academic Discipline

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2024-12-20