Data Analytics Engineer

Netskope is hiring a Data Analytics Engineer in Taguig, Philippines. Level rates it ; you can apply on Netskope.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Snowflake, dbt and Looker.
Level classifies it as a mid-level role.
Level lists 127 other open roles at Netskope.

AI in this role

Manages data pipelines, transforms warehouse data using DBT and SQL, and builds analytics dashboards in Looker.

snowflakedbtlookerpythonairflowsql

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.

How we rate this

Data Analytics Engineer at Netskope rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Analytics Engineer is an open job at Netskope.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Taguig, Taguig, Philippines.
The job was posted on October 6, 2026.
Seniority: mid.
Applications are handled by Netskope. Apply on Netskope

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SnowflakedbtLookerPythonAirflowSQL

Questions you could be asked

What's a project where you used Snowflake hands-on?
Walk me through how you've used dbt in your day-to-day work.
What are the limits of Looker that you've run into, and how did you work around them?
What's a project where you used Python hands-on?
Walk me through how you've used Airflow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Snowflake, dbt, Looker, Python, and Airflow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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