Data Analyst 2 [United States]


 
Overview:
Appointment Type: Full-Time Regular (FTR)

Location: Remote (US Based Locations)

  • $ads={1}

    Salary Range: $68,099 - $94,744

PURPOSE
: ORISE-STEM-WD administers workforce development programs for a variety of customers, under multiple funding types with multiple appointment types. This position requires the ability to learn STEM-WD business parameters, processes and procedures that impact applicant and participant data consolidated across the program unit. The ORISE STEM Workforce Development (ORISE-STEM-WD) Data Analyst will be a primary point of contact for quality and use of ORISE-STEM-WD applicant and participant data, as well as other supporting data, such as program data and publicly available data that enhances internal data. The individual in this position will help ensure that these data are a resource in meeting the overall business strategies of ORISE-STEM-WD, and recommend changes to the data collections to improve their strategic value in meeting business objectives, if necessary. This person will perform complex data research and analysis to support business operations.
Responsibilities:
  • This position will work closely with and assist ORISE-STEM-WD Senior Leadership, Zintellect and other relevant product owners or data system managers, ORISE-STEM-WD Managers and ORISE-STEM-WD Program Specialists to ensure applicant and participant data are valid and reliable, and appropriate for current and future data calls for both internal objectives and external stakeholders, including federal agencies that oversee our work.

  • Monitor and regulate applicant and participant data and establish standards to ensure accurate characterization of ORISE-STEM WD Programs.

  • Prepare regular weekly, monthly, quarterly and annual applicant and participant data reports required by sponsors. He or she will also manage data quality efforts, working with program staff to periodically clean and validate participant data. Quality checks will be performed on data, based on established guidelines and procedures.

  • Prepare and present specialized data tabulations, including trends, descriptive statistics, and crosstabs, and visualizations of these trends and statistics from systems such as Zintellect and APSS as needed by ORISE-STEM WD Senior Leadership and other Program Staff.

  • Identify and assess areas for improving data collection, maintenance, and sharing; and create implementation plans for new initiatives.

  • Develop methods to standardize and automate recurring reports, including the use of interactive dashboards that can be used by program staff to improve efficiency and ease of generation. The process used will also allow for final Q&A checklists and automated identification of data errors prior to final report preparation.

  • Examine and identify data patterns and trends to help answer business questions and improve decision making, including the presentation of organizational data in the context of national comparison data (preparing data so that it will be comparable to national data on the science and engineering educational enterprise and workforce), with assistance from other WAE staff in analyzing national trends.

  • Conduct quantitative statistical analysis on data to answer research questions and improve decision making.

  • Quickly assess possible data issues (outliers, validation errors, inconsistent responses, etc.) pertaining to the administration of scholarship, fellowship and internship programs.

  • Currently applicant/application data are stored in multiple systems, such as Zintellect, APSS, and other historical databases. This individual must have experience using and querying relational databases so an in-depth knowledge of these systems, especially Zintellect and APSS, can be obtained quickly through on-the-job training.

  • Using appropriate computer software tools, this position will query, export and analyze relational databases, perform data analysis and visualizations, generate descriptive statistics, trends, crosstabs, percentiles, etc., and prepare and format data reports is required. Essential tools include Excel, Access, Word, and PowerPoint to manipulate, tabulate, and visually display data.

  • Provide guidance to staff regarding systems, processes and procedures related to the collection and reporting of applicant and participant data, following all unclassified sensitive information protection and routine use requirements outlined in DOE and ORAU policy.
Qualifications:


Bachelor's degree in business, scientific, engineering, technical, education or related field and 3-5 years of job-related experience. An equivalent combination of education and experience performing duties as described may be substituted for the minimum requirements.

  • Experience with data cleaning (removal of duplicates, outliers, and invalidated data) and quality checking based on established guidelines for data acceptance is required.


  • Knowledge and proficient use of the MS Office suite is required.

  • A degree in applied math, engineering, statistics, information technology, or other analytical field that would require process and workflow analyses is preferred.


  • Extensive experience using spreadsheets, including the ability to use pivot tables, conditional formatting and nested formulas is essential. Use of relational databases and data analysis (including trends, descriptive statistics, crosstabs, percentiles, etc.) and graphical representation of data is essential.


  • Data collection and analyses will require a combination SQL scripting combined with other tools for data tabulation and visualization. Experience in SQL scripting is required and specific experience using Transact-SQL (T-SQL) within SQL Server Management Studio (SSMS) is preferred.


  • Use of R software, or another similar software/tool for data manipulation, calculation and graphical display is preferred.

  • Experience building interactive dashboards that allow users to manipulate data with filters is a plus. MS Power BI and Excel Power Pivot are examples of tools considered for dashboard development.

  • This position will provide guidance to staff regarding systems, processes and procedures related to the collection and reporting of applicant and participant data, following all unclassified sensitive information protection and routine use requirements outlined in DOE and ORAU policy. Experience with data archiving activities required for historical documentation and reporting of large databases. Understanding of postsecondary education and internships, scholarships, and fellowships is a plus.

  • The candidate’s starting salary will be determined upon hire and ORAU will use salary survey data, internal comparators, and the candidate’s qualifications to determine salary.

TOTAL REWARDS

ORAU has a strategic approach to providing total rewards to employees through a fair, equitable, and competitive total compensation package. The goal of our total rewards system is to integrate compensation, benefits, work-life balance, performance, recognition, development, and career opportunities to attract, engage, and retain the talent required to achieve ORAU’s business objectives. The benefit component of our total rewards program supports business goals by offering the following benefits based on employee eligibility:

  • Legally required benefits
  • Group Health insurance including: Medical, Prescription, Dental, and Vision
  • Retirement plan contribution matching
  • Disability insurance
  • Group life insurance
  • Travel Accident Insurance
  • Section 125 reimbursement accounts
  • Other voluntary employee paid benefit and insurance offerings

The ORAU total reward package also promotes work-life balance. Mindful of the need for employees to care for themselves and their families, ORAU offers the following additional work-life benefits based on employee eligibility:

  • Telework
  • Paid Time Off (PTO)
  • Paid Holidays
  • Flexible work schedules or compressed work weeks
  • Occupational Health and Wellness Programs
  • Employee Assistance Program

$ads={2}


 

.

Posting Komentar

Lebih baru Lebih lama

Sponsored Ads

نموذج الاتصال