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Data AnalystVIVA • United States
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Data Analyst

VIVA
  • US
    United States
  • US
    United States
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About

Job Description
Hybrid
Description: JOB SUMMARY Under broad supervision, performs complex administrative
duties
and statistical, financial, or operational data analysis and reporting in support of management decision making in the functional area. Identifies trends, discrepancies, and variances to improve the efficiency and effectiveness of operations. May partner with other departments, divisions, outside agencies, and vendors to address business issues. Exercises various latitudes of independent judgment. May administer or provide high-level support for various projects, grants, contracts, implementation of procedures, and/or any specialized functions. Assists with orientation, training, or providing task guidance of junior team members. Provides strategic analysis.
PRIMARY DUTIES
AND RESPONSIBILITIES Perform
job responsibilities
with minimal supervision Extract primary data from Oracle Database with the use of SQL Interpret data, analyze results using statistical techniques and provide ongoing reports Provide timely and accurate data to fulfill internal and external data requests Identify, compile, and 'clean' data for research projects Identify, analyze, and interpret trends or patterns in complex data sets Oversee evaluation and research projects Communicate the evaluation plan and its details to leadership and stakeholders Collaborate with external research partners to ensure understanding of data points and data sets Develop and monitor internal and external data requests Manage, summarize, and analyze quantitative and/or qualitative data Summarize and explain research findings and their implications Prepare findings for publication Develop, review, and abstract published research Produce data visualization dashboards with Tableau
MINIMUM QUALIFICATIONS Bachelor's degree in a related field from an accredited college or university AND Two years in a related lead or supervisory role OR Associate's degree in a related field from an accredited college or university AND Four years of related experience, Two years of which in a related lead or supervisory role OR Two
years of experience
at the lower level IT Business Analyst or position equivalent.
PREFERRED QUALIFICATIONS 5+ years of
knowledge and experience
with databases (SQL, Oracle, etc) 5+
years of experience
in accessing and extracting data from organizational and/or other institutional databases Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 2+ years of relevant
work experience
in the Criminal Justice field and/or Data Management/Analysis Proficient skills in queries, report writing, and presenting findings Experience in data visualization software (i.e., Tableau)
Skill - Required / Desired - Amount of Experience 5+ years of
knowledge and experience
with databases (SQL, Oracle, etc) - Required - 5 Years 5+
years of experience
in accessing and extracting data from organizational and/or other institutional databases - Required - 5 Years Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail a - Required - 1 Years 2+ years of relevant
work experience
in the Criminal Justice field and/or Data Management/Analysis - Highly desired - 2 Years Proficient skills in queries, report writing, and presenting findings - Required - 3 Years Experience in data visualization software (i.e., Tableau) - Highly desired - 1 Years
Notes : Hybrid
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
  • United States

Languages

  • English
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