Job Description Summary:
** Cover Letter Required **
Assembles financial, workforce, economic, statistical, or other operational data sets to perform comparative and predictive analyses of business issues. Performs standard business analyses using a variety of tools and techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining, data storage, data automation, and data visualization. Provides advice on functional capabilities of data analytic tools and platforms. Trains users of the data analytic tools and platforms. Ensures data integrity of data elements in data analytic tools and platforms through regular audits. Generates regular and special reports. Participates in implementing or developing tools and platforms to capture business operation information. Assists with developing, analyzing, testing, modifying and documenting data preparation and data validation processes.
Applies specific professional-level functional knowledge to solve problems requiring the identification and analysis of moderate to complex variables. Uses prescribed guidelines or policies to analyze and resolve problems that routinely arise in areas of assigned responsibility, but may receive guidance or expertise from higher-level staff on more complex problems. Establishes processes and/or procedures to ensure the effective and efficient operation of assigned functions. Trains, mentors, and serves as a resource in own discipline to others.
Job Description:
ESSENTIAL JOB DUTIES
Note: Duties may be performed solely for a specific business or functional area or a combination of areas.
1. Extracts and analyzes various data through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Uses information to produce understanding and insights into business and operational functional areas.
2. Develops visualization tools for reporting. Creates data visualization mock-ups and business intelligence platform-based prototypes that reflect the appropriate context to inform decision-making.
3. Supports the release of periodic dashboards at the institution and division level. Works collaboratively to gather and reconstruct data, downloads and prepares data from source systems, and suggests enhancements to dashboard design. Administers data validation process ensuring data integrity of the architecture and formulas within Tableau and other tools and platforms. Ensures staff have access to real-time, easy-to-understand information on the dashboards.
4. Supports data model, data storage and data automation processes by running queries, extracting data, and performing testing and validation of the data model. Provides support on the organization and structure of data from different platforms and/or data in different tables.
5. Identify and resolves data quality issues for assigned data assets. Develops, modifies, and tests queries to ensure data integrity.
6. Prepares ad hoc and regular summary reports and dashboards in supported business area, ensuring integrity of information. Resolves production issues with extracts and dashboards.
7. Produces presentations, briefings, and reports. Contributes to technical papers or summaries, reports, and briefings.
8. Leads and/or participates in the implementation of methods and procedures that will increase efficiency and accuracy of data analytic platforms, data structures, and data assets.
9. Works directly with staff to identify analytical requirements. Advises on functional capabilities of data analytic platforms, appropriate data structures and models, data preparation, and data source connection issues.
10. Creates user documentation and training materials and trains end users. Troubleshoots user problems and implements solutions.
11. Researches best practices in data analytics and techniques and recommends improvement to data management.
12. Maintains an appropriate standard of confidentiality. When handling secure, privileged, sensitive, or confidential information and matters, maintains strict confidence and exercises care to prevent disclosure to others. Accesses confidential information for work-related reasons only, following the policies and procedures of the organization. Ensures that any privileged, sensitive, or confidential information is securely stored, disposed of, and transmitted according to the Institutional guidance.
13. May develop, analyze, test, modify, standardize and documents data management practices and processes.
NONESSENTIAL JOB DUTIES
JOB SPECIFICATIONS
Required Knowledge, Skills, and Abilities:
In depth knowledge in one or multiple data analytical tools, platforms, and visualization software (e.g. Tableau, Google Analytics, budgeting and forecasting tools, ERP/CRM systems such as Workday).
Strong Microsoft Excel skills.
Expertise in query tools, modeling, and data analysis.
Excellent customer service & troubleshooting skills.
Excellent attention to detail.
Ability to solve intellectual problems of some variety and complexity.
Ability to manage and maintain privileged, sensitive, and confidential information and matters appropriately.
Ability to meet deadlines in a fast-paced office environment during peak periods.
Experience working in complex environments with a high degree of organizational effectiveness.
Ability to operate with appreciable latitude for independent judgement and action.
Ability to work successfully in a team environment.
Ability to develop relationships with co-workers and employees in other National Academies’ departments.
Excellent communication skills with a proven ability to effectively interact with all levels of employees.
Minimum Education/Training Requirements: Bachelor’s Degree in related field, or equivalent knowledge.
Minimum Experience: Two years of related professional experience.
Physical Capabilities: Ability to work at a computer for extended periods of time.
Required Licenses, Certification or Registration: None.
Supervisory Responsibilities/Controls: Reports to Manager. Sets objectives with supervisor.
Compensation Range: The National Academies of Sciences, Engineering, and Medicine support equity, fairness, and transparency in our compensation programs. An estimated compensation range for this position is $70,880 - $88,600. Compensation offered to the selected candidate will be based on the candidate’s relevant knowledge, skills, and work experience, commensurate with compensation of current employees in comparable positions with similar knowledge, skills, and work experience, and subject to budget parameters. Note it is not typical for a candidate to be hired at the higher end of the range. This position is a benefits-eligible position. Our Benefits Plan offers competitive and comprehensive benefit options, including medical, dental and vision insurance, life insurance, disability coverage, retirement and savings benefits, leave benefits such as paid holidays and paid personal leave, transportation subsidies, and education assistance. For more information, please click
here.
Work Environment: This role has been approved for 100% remote status, with occasional travel between National Academies’ facilities and to off-site meeting/sponsor locations. Please note that The National Academies of Sciences, Engineering, and Medicine is not an approved employer in all states, and any remote work arrangement requires pre-approval.
The National Academies’ Statement on Diversity and Inclusion:
We, the National Academies of Sciences, Engineering, and Medicine (the National Academies), value diversity among our staff, members, volunteers, partners, vendors, and audiences. We recognize that talent is broadly distributed in society and that many perspectives enhance the quality of our work and drive innovation and impact.
We pledge to cultivate a workplace culture and climate that promotes inclusion, belonging, accessibility, and anti-racism; upholds equity; and values the participation of all who are engaged in advancing our mission. By embracing the values of diversity, equity, and inclusion in our programs, institutional policies and practices, and products, we will be able to better advise the nation on the most complex issues facing society and the world.
Equal Opportunity Employer:
It is the policy of the National Academies to recruit, hire, transfer, compensate, and promote people in all job categories and to administer all other personnel actions, terms and conditions of employment in a manner that is consistent with equal employment, and does not discriminate on the basis of race, creed, ethnicity, color, national origin, sex, sexual orientation, gender identity, age, religion, disability, medical condition for which a person has been rehabilitated or cured, marital status, family responsibilities, genetic information, political affiliation, personal appearance, matriculation, unemployment status, veteran status, or any other characteristic protected by applicable laws. It is also the institution's policy to recruit, hire, promote, and provide reasonable accommodation to qualified individuals with disabilities and covered veterans who are otherwise qualified.
Any qualification to be considered equivalent, in lieu of stated minimum, requires the prior approval of the Office of Human Resources.
The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Some functions in this description may be specific to a particular unit of the National Academies and not applicable to other units.
Job Family:
ACCT
Employee Type:
Employee
Scheduled Weekly Hours:
37.5
City/State:
Remote, Virginia
