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Release Date :

Call for Applicants for
 STATISTICAL ANALYST (CONTRACT OF SERVICE WORKER)
FOR THE PSA-LGU DATA SHARING PROJECT
at Philippine Statistics Authority – RSSO X
15 July 2025 to 21 July 2025

 

 

Place of Assignment:Statistical Operations and Coordination Division (SOCD)
Philippine Statistics Authority - RSSO X
3rd Floor, Limketkai Module-2 BPO & Cyberpark Bldg.
Position Title:Statistical Analyst
Employment Status:Contract of Service (COS)
Contract Duration:July - December 2025
Vacancy:One (1)
Salary Grade:SG-11 (plus 20% premium)

 

QUALIFICATION STANDARDS

Eligibility:Preferably CS Professional/Second Level Eligibility
Education:Bachelor’s degree preferably in Statistics, Mathematics, Economics, 
or Engineering
Training:Preferably with relevant training in data management, presentation, and analysis
Experience:Preferably with work experience on data management, data visualization, and data analysis, or in any field in Statistics and Research.
Preferably with experience on data management, data visualization, and data analysis;
With background in microcomputers and operating knowledge of Microsoft Excel/Windows.

 

Duties and Responsibilities:

  1. Attend online training and briefings on field verification, data collection, data processing, and PSIC classification for economic units from the 2023 and 2024 LGU Business Registers (LGU-BR) and PSA's List of Establishments (LE).
  2. Conduct field verification of economic units from the 2023 LGU-BR that are 'no match' in the PSA-LE but categorized as “possible establishment” or “establishment-like”.
  3. Conduct field verification of economic units listed in the PSA-LE but not found in the 2023 LGU-BR to determine their operational status and business characteristics.
  4. Coordinate with LGUs to collect data on new registrants from the 2024 LGU-BR.
  5. Pre-process the 2024 LGU-BR data, including template matching, data cleaning, and data standardization of business information for PSA-LE database integration.
  6. Process and validate 2024 LGU-BR data, confirming "match" economic units based on results from the Central Office using the Data Matching Enterprise (DME) output.
  7. Classify "no match" economic units as 'establishment, 'possible establishment or establishment-like', or 'not an establishment' based on the available business information collected
  8. Assign appropriate PSIC codes to business units without valid classification using the PSIC automation tool and validate final assignments.
  9. Encode and update the records of verified economic units to support the enhancement of the Statistical Business Register (SBR).
  10. Assist in the evaluation phase of the 2023 and 2024 PLDS-BRP to be conducted by the Central Office, including submission of reports and participation in the assessment.

All interested applicants must submit the following documents merged in one PDF File:

  • Scanned copy of signed application letter, stating the specific position title with salary grade (SG Level) and specific place of assignment as posted, addressed to:

JANITH C. AVES, CE, DM
Regional Director
Philippine Statistics Authority
Regional Statistical Service Office X
3rd Floor, Limketkai Module-2 BPO & Cyberpark Bldg.
Limketkai Cagayan de Oro City

  • Scanned copy of duly accomplished Personal Data Sheet with recent ID picture taken within three months prior to submission of application (CSC Form 212, Revised 2017), wet signed, and duly subscribed and sworn before an authorized administering officer not later than the posting/filing period;
  • Scanned copy of signed Work Experience Sheet (CSC Form No. 212, attachment to PDS), if there are work experiences;
  • Scanned copy of certificates of relevant training, if there are any; and
  • Scanned copy of Transcript of Records and Diploma.

Deadline of submission of application is on 21 July 2025. Submit your application at https://hris.psainnovations.online.

 

FOR THE REGIONAL DIRECTOR:

 

(SGD.) SARAH B. BALAGBIS
(Chief Statistical Specialist)
Officer-in-Charge

Attachment Size
PDF PDF 278.33 KB
PDF List of vacant positions 129.45 KB

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