|Date: ||Fri, 25 Jan 2008 09:15:22 -0800|
|Reply-To: ||K12Edu <ssmith86@YAHOO.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||K12Edu <ssmith86@YAHOO.COM>|
|Subject: ||JOB: Data Analyst - Loudoun County Public Schools|
|Content-Type: ||text/plain; charset=ISO-8859-1|
LOUDOUN COUNTY PUBLIC SCHOOLS
ASHBURN, VA 20148
POSITION: - DATA ANALYST - REVISED
JOB CATEGORIES > CLASSIFIED POSITION TYPES > CLASSIFIED POSITIONS
POSTING DATE: 01/23/2008
CLOSE DATE: 02/06/2008
VACANCY NUMBER: 07233INS
FACILITY: DEPT OF INSTRUCTION
SALARY: Pay Level 16, Salary Range: $46,085 - $85,700 (Pro-Rated) 12
Month Position (Pro-Rated), 8 hours per day
APPLY TO: Department for Personnel Services
JOB DESCRIPTION: Assists with designing, planning, scheduling,
monitoring, and auditing of data, database structure, queries and
reports from various LCPS data systems (Student Information System
(Oracle); develops, tests, and validates web-based LCPS Data Warehouse
reports (Oracle); extracts, transforms, and loads data from online
systems (various online assessments, MyLearningPlan, Virginia
Department of Education, etc.). Assists in the preparation,
processing, and analysis of data for local, State, and Federal
DUTIES AND RESPONSIBILITIES: -Compiles and audits data.
-Performs data analysis to complete a variety of State and local
-Assists in the administration of the LCPS data warehouse using Oracle
application software (Discoverer, Administrator).
-Prepares statistical reports.
-Performs steps to cleanse, manipulate, and standardize data for
JOB QUALIFICATIONS: -Demonstrates strong aptitude for understanding
and integrating complex data sets from multiple sources, including
Microsoft Access, Oracle, and/or SQL.
-Experience with relational databases - Access, Oracle, and SQL.
-Understanding of statistical software programs (i.e. SPSS).
-Able to develop technical requirements for data and data base
-Exceptional organizational skills, analytical skills, strong written
and verbal presentation skills.
-Knowledgeable of best practices related to data extract,
transformation, and load processes.
-Strong computer skills using Microsoft Office especially Excel and
-Strong problem-solving, diagnostic, and analytical skills.
-High level of accuracy and attention to detail.
-Technical skill to handle large datasets using statistical software
such as SPSS.
-Minimum of 2 years experience in quantitative research or analyses.