Nestor

Data and Reporting Analyst

Verified

mark as hired

Overview

Looking for full-time work (10 hours/day)

at $8.41/hour ($2,000.00/month)

Bachelors degree

Last Active

November 4th, 2025 (179 days ago)

Member Since

July 22nd, 2022

Profile Description

I’m a Data and Reporting Analyst with hands-on experience in the U.S. trucking industry. I specialize in financial analysis, automation, and reporting.

What I Do
• Track and analyze company expenses using QuickBooks
• Reconcile invoices and file disputes for incorrect charges
• Handle plate registration, plate transfers, and Form 2290 processing
• Automate reports and processes to improve efficiency

Tools I Use
• Python – for automation and data processing
• SQL & BigQuery – for data extraction and transformation
• Google Sheets – with advanced formulas and App Script automation
• Power BI & Looker Studio – for dashboards and visual reporting

Industry Focus
• U.S. Trucking and Logistics
• Experience with leasing, IFTA, 2290 tax, and recurring fleet costs

Work Style
• Remote and self-managed
• Detail-oriented with strong reporting accuracy
• Always looking to streamline and automate processes

Top Skills

Office and Administration » Microsoft Excel

Experience: 5 - 10 years

Extensive experience using Excel for data analysis, expense tracking, and reporting. Proficient in advanced formulas like VLOOKUP, IF statements, INDEX-MATCH, and SUMIFS to streamline calculations and processes. Skilled in using pivot tables and charts for organizing and visualizing data effectively. Experienced in collaborating on shared Excel workbooks, managing access permissions, and ensuring data accuracy. Excel is a key tool for my daily financial analysis and reporting tasks.

Office and Administration » Google Sheets

Experience: 2 - 5 years

Extensive experience using Google Sheets for data analysis, expense tracking, and reporting. Proficient in advanced formulas like VLOOKUP, IF statements, and INDEX-MATCH to automate calculations. Skilled in using pivot tables and charts for organizing and visualizing data clearly. Experienced in collaborating on shared documents, managing access permissions, and maintaining data integrity. Google Sheets is a key tool for daily financial analysis and reporting tasks.

Customer Support » Phone Support » English Speaking

Other Skills

Accounting » Quickbooks

Experience: Less than 6 months

Use to trach down the company expenses and check for the actual ACH transactions. Preparing the PnL Report ( Profit and Loss) Report

Software » Data Engineering » Bigquery

Experience: 1 - 2 years

Fully Utilize Big Query for Report Automation and Analysis

Office and Administration » Power BI

Experience: 2 - 5 years

Develop and manage interactive dashboards to track KPIs, financial performance, and operational data. Experienced in DAX formulas, data modeling, and visual storytelling tailored to trucking industry needs. Automate reports and connect data from Google Sheets, Excel, and SQL sources.

Marketing » Marketing Analytics » Looker Studio

Experience: 2 - 5 years

Create automated and shareable reports for operations, finance, and compliance teams. Connect and transform data from Google Sheets and BigQuery for real-time tracking. Use custom filters, date ranges, and charts to simplify complex datasets for non-technical users.

Software » Data Engineering » SQL

Experience: 1 - 2 years

Basic Information

Age: 35

Gender: Male

Website: Sign Up with Pro Account to View

Address: Mabalacat City, Pampanga

Tests Taken: IQ
Score: 135: DISC
Dominance: 32
Influence: 18
Steadiness: 29
Compliance: 21: English
C2(Advanced/Mastery)

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0266
Total Execution Time	0.0279

GET DATA

No GET data exists

MEMORY USAGE

1,617,160 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2197132

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0170 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
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0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2197132'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2197132' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '2197132' AND hired > -1`
0.0002	`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 = '2197132' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0006	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2197132' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
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0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0002	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2197132'
0.0023	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0029	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` = '2197132' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2197132'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0002	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0002	`select * from teasers`
0.0003	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 = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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