Portfolio Operations & Data Engineer

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

$1800+

HOURS PER WEEK

40

DATE UPDATED

Aug 5, 2026

JOB OVERVIEW

We are seeking a Portfolio Operations & Data Engineer to support a growing luxury retail organization by combining technical expertise in business intelligence with responsibility for portfolio operations coordination. This unique hybrid role exists to automate reporting, improve operational visibility, reduce manual administrative work, and ensure facilities coordination, lease administration, and vendor management operate efficiently across multiple retail locations.

The ideal candidate will have 5 years of experience in Data Engineering, Business Intelligence, or Data Analytics with advanced Power BI and SQL expertise, combined with comfort managing operational responsibilities across facilities, vendor relationships, and lease administration. You will serve as both a technical problem solver and an operational partner—building automated reporting solutions that replace manual processes while ensuring operational records remain organized, vendors remain accountable, and facilities requests are resolved efficiently. This is ideal for someone who enjoys solving operational challenges through technology while remaining connected to day-to-day business needs.

Job Responsibilities:

-Design, develop, and maintain Power BI dashboards for Operations, Finance, and Executive Leadership.
-Build automated reporting processes using Power Query, SQL, APIs, and spreadsheet integrations.
-Design and maintain ETL workflows that consolidate data from multiple business systems.
-Create scalable reporting solutions that eliminate manual reporting processes.
-Validate, clean, and transform operational data to ensure reporting accuracy.
-Maintain reporting documentation and data dictionaries.
-Support business stakeholders with ad hoc reporting and operational analytics.
-Coordinate facilities maintenance requests across multiple retail locations.
-Track maintenance work orders from initiation through completion.
-Maintain relationships with contractors, landlords, and third-party vendors.
-Source vendor quotations and coordinate Requests for Proposal (RFPs).
-Maintain accurate lease documentation and support lease administration activities.
-Manage operational records within MRI ProLease or similar property management systems.
-Coordinate documentation required for lease accounting and operational compliance.
-Identify opportunities to automate manual operational workflows.
-Partner with Operations and Finance leadership to support continuous improvement initiatives.
-Develop Standard Operating Procedures (SOPs) for reporting and operational processes.
-Improve reporting accuracy and operational visibility across departments.
-Recommend technology enhancements that improve efficiency and scalability.
-Ensure leadership has access to accurate, real-time operational dashboards.
-Ensure facilities requests are tracked and resolved efficiently.
-Keep lease documentation accurate, organized, and audit-ready.
-Proactively manage vendor communications.
-Make operational reporting more scalable and require minimal manual intervention.
-Provide greater visibility into operational performance for business stakeholders.

Qualifications:

-Minimum 5 years of hands-on experience in Data Engineering, Business Intelligence, or Data Analytics.
-Demonstrated experience developing Power BI dashboards for business users.
-Proven ability to build API integrations and automated reporting solutions.
-Strong experience working with SQL and data transformation tools.
-Advanced Power BI, SQL, Power Query, and REST APIs proficiency.
-Advanced Microsoft Excel skills and data modeling expertise.
-Experience building ETL processes and reporting automation solutions.
-Strong proficiency in Microsoft Office and Google Workspace.
-Highly organized with exceptional attention to detail.
-Strong analytical and problem-solving skills.
-Able to manage multiple priorities across technical and operational responsibilities.
-Comfortable communicating with Operations, Finance, vendors, and leadership teams.
-Self-directed with excellent follow-through and accountability.
-Process-driven with continuous improvement mindset.
-Strong communicator capable of translating technical information into business insights.
-Proactive, dependable, and capable of working independently in a remote environment.
-Exposure to retail operations, facilities, or property management is strongly preferred.
-Microsoft Fabric experience is preferred.
-Azure Data Services experience is preferred.
-Power Automate experience is preferred.
-Python experience is preferred.
-MRI ProLease experience is preferred.
-Lease Administration experience is preferred.
-Property Management exposure is preferred.

Requirements:

-Updated Resume/CV.
-Ability to work in a fast-paced, dynamic environment.
-Reliable internet connection and personal computer.
-UPS/battery backup to ensure continuity during power interruptions.

Benefits:

-Competitive salary with performance-based incentives.
-WFH set-up.
-Opportunities for career advancement.
-HMO coverage for employee and immediate family members.

Join our team now and be part of the top 1% talent in the Philippines!

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0149
Total Execution Time  0.0163
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,509,016 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Portfolio-Operations-Data-Engineer-1702876
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0092 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1702876
 LIMIT 1 
0.0009   SELECT *
FROM `employers`
WHERE `employer_id` = 961975
 LIMIT 1 
0.0013   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1702876
AND `misc`.`idIS NULL 
0.0004   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-08-11',ej.date_added) duration_daysDATEDIFF('2026-08-11',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-08-11',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1702876' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1702876 
0.0016   UPDATE employer_jobs SET hit_counts '***Aug-05-2026=880***Aug-06-2026=64***Aug-07-2026=47***Aug-08-2026=20***Aug-09-2026=2***Aug-11-2026=1' WHERE job_id'1702876'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Aug-2026=1014' WHERE job_id'1702876'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1702876' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1702876 
0.0017   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '961975'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)