Back to jobs

Data Analytics Engineer

Taguig, Taguig, Philippines

Live, first seen by us 36 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting

As an Analytics Engineer at Netskope you'll be involved in both the business and the technology sides of our Business Intelligence program.

  • Extract data from source systems inside and outside Netskope and load it into Snowflake

  • Transform warehouse data with SQL and DBT into a model Looker and other tools can use

  • Ensure the timeliness and quality of data

  • Work with the BI team to turn business data needs into requirements

From the employer’s posting
As an Analytics Engineer at Netskope you'll be involved in both the business and the technology sides of our Business Intelligence program. The Analytics Engineer candidate will work on all aspects of the data pipeline: ingesting raw sources, transforming it into usable data sets, and creating visualizations in Looker. The successful candidate will work cross-functionally to identify new datasets and turn that data into high-value business insights.
Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse.
Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools.
Ensure timeliness and quality of data.
Work with the BI team on requirements to solve business data needs.

What you’ll bring

All qualifications

Core experience

  • 3+ years working with DBT
  • 3+ years with data visualization software such as Looker or Tableau
  • 2+ years extracting data with Python
  • Strong business intuition and ability to understand complex business systems
  • Bachelor's or Master's degree

Preferred experience

  • Airflow experience
Qualification wording
3+ years experience working with DBT
3+ years experience with data visualization software (Looker, Tableau)
2+ years experience extracting data with Python
Strong business intuition and ability to understand complex business systems
Bachelors or Masters degree
Airflow experience a plus
Education & alternatives
Education: - Bachelors or Masters degree #LI-CV1
Apply at Netskope

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 6, 202636 days ago
Recorded sightings
58
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 36

Similar jobs usually come down between day 7 and day 50.

At Netskope, jobs usually come down by about day 74.

From 1,633 similar postings that came down, and 5 of Netskope’s. Coming down is not always a hire.

Netskope is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • dbt
  • Looker
  • Snowflake
  • Tableau
Where the posting names them
- 3+ years experience with data visualization software (Looker, Tableau) - 2+ years experience extracting data with Python - Strong business intuition and ability to understand complex business systems
- Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse. - Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools. - Ensure timeliness and quality of data.
Requirements: - 3+ years experience working with DBT - 3+ years experience with data visualization software (Looker, Tableau)
- 3+ years experience working with DBT - 3+ years experience with data visualization software (Looker, Tableau) - 2+ years experience extracting data with Python
Responsibilities: - Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse. - Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools.

Your next step

Complete your application on www.netskope.com. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

About Netskope

People
About 3,281 in 2026.Annual report (SEC Form 10-K)
Company
Listed as NTSK.

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 83, the most 171, and the latest week had 95.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

About the role:

As an Analytics Engineer at Netskope you'll be involved in both the business and the technology sides of our Business Intelligence program. The Analytics Engineer candidate will work on all aspects of the data pipeline: ingesting raw sources, transforming it into usable data sets, and creating visualizations in Looker. The successful candidate will work cross-functionally to identify new datasets and turn that data into high-value business insights.

Responsibilities: 

  • Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse.
  • Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools.
  • Ensure timeliness and quality of data.
  • Work with the BI team on requirements to solve business data needs.

Requirements:

  • 3+ years experience working with DBT 
  • 3+ years experience with data visualization software (Looker, Tableau)
  • 2+ years experience extracting data with Python
  • Strong business intuition and ability to understand complex business systems
  • Airflow experience a plus

Education: 

  • Bachelors or Masters degree
#LI-CV1

 

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Taguig, Taguig, Philippines

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.