Current Employment Status:
Hired Part Time on May 1, 2024

Queenie

Data Entry Specialist | Project Management Support | Reporting & Data Analysis

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Overview

Looking for part-time work (4 hours/day)

at $8.30/hour ($800.00/month)

Bachelors degree

Last Active

June 27th, 2026 (11 days ago)

Member Since

March 15th, 2020

Profile Description

I am a process-oriented Data Entry Specialist with over 4 years of experience in the Shipping and Logistics industry, handling high volumes of customer requests while maintaining efficiency and accuracy. I consistently achieved 100% accuracy and productivity in daily KPIs, ensuring reliable data management and timely task completion.

I also have 2 years of experience in Order Fulfillment, where I managed incoming invoices, entered and updated order tracking information in databases, monitored shipment status, and communicated with vendors via email to ensure timely processing and delivery.

In addition, I have 1+ year of experience as a Project Support/Product Owner in a client’s agile project management environment within the Shipping and Logistics sector.

I also bring 3 years of experience as a Reporting Analyst across different industries, where I developed interactive dashboards and performance reports using Looker Studio, Power BI, and Microsoft Excel to support data-driven decision-making.

I am detail-oriented, analytical, and committed to delivering accurate, high-quality work that helps businesses operate efficiently.

Top Skills

Office and Administration » Microsoft Excel

Experience: 5 - 10 years

Proficient in creating and using formulas and functions to automate calculations, building pivot tables and charts to summarize and analyze large datasets, performing data analysis and visualization to extract insights, and ensuring data accuracy through cleaning, sorting, and validation.

Office and Administration » Data Entry

Experience: 5 - 10 years

Highly skilled in fast and accurate typing with strong attention to detail. Experienced in organizing and managing data across spreadsheets and databases, proficient in Microsoft Excel, Google Sheets, and other data entry tools, and capable of meeting deadlines while maintaining high productivity and quality.

E-Commerce » Order processing » Order Fulfillment

Experience: 2 - 5 years

Experienced in accurate order processing, monitoring shipment status and tracking, and maintaining clear communication with vendors and customers. Highly detail-oriented and skilled at managing high volumes of orders efficiently, ensuring timely delivery and error-free operations.

Other Skills

Office and Administration » Data Analytics

Experience: 2 - 5 years

Office and Administration » Power BI

Experience: 2 - 5 years

Marketing » Marketing Analytics » Looker Studio

Experience: 1 - 2 years

Project Management » Workflow

Experience: 1 - 2 years

Basic Information

Age: 29

Gender: Female

Website: Sign Up with Pro Account to View

Address: Moncada, Tarlac

Tests Taken: DISC
Dominance: 47
Influence: 11
Steadiness: 23
Compliance: 19: English
B2(Upper Intermediate)

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0010
Controller Execution Time ( Jobseekers / Info )	0.0317
Total Execution Time	0.0333

GET DATA

No GET data exists

MEMORY USAGE

1,627,384 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/1068025

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0211 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0012	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1068025' LIMIT 1
0.0042	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '1068025'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '1068025'
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0004	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1068025' AND `is_private` = 1
0.0008	`SELECT * FROM employment WHERE jobseeker_id = '1068025' AND hired > -1`
0.0003	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '1068025' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0003	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0005	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0003	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 1068025 LIMIT 1`
0.0010	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 1068025 LIMIT 1`
0.0007	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '1068025' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0011	`SELECT *, DATEDIFF('2026-07-08',rebill_date) duration_rebill FROM employers WHERE employer_id = '682663'`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0015	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '1068025'
0.0023	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0017	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '1068025' ORDER BY `jsct`.`rate` DESC
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '1068025'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/1068025
csrf-token	8c4bb81e4a0fc5b2813343b4113b2554

CONFIG VARIABLES (Show)

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log_threshold	2
enable_profiler
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uri_protocol	PATH_INFO
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language	english
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csrf_cookie_name	csrf_cookie_name
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csrf_regenerate	1
csrf_exclude_uris	Array ( )
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salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.196
HTTP_DNT