Netskope: Data Analytics Engineer — Taguig, Taguig, Philippines

About Netskope

Netskope develops security and networking technology for cloud, data and AI environments. Its employer introduction identifies the Netskope One platform, a zero-trust engine and the NewEdge network as parts of that offering. The business describes giving organisations visibility and control while maintaining the performance of access to applications and information. This connects cybersecurity with networking: the products address both how digital resources are reached and how their use is controlled and protected.

The position and its setting

Netskope lists Data Analytics Engineer in Taguig, Taguig, Philippines, under reference 8239207. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Business Intelligence
• Employer listing date: 6 October 2026

Responsibilities and work described

• 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
• 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
• Quality / delivery: timeliness and quality of data
• Work: with the BI team on requirements to solve business data needs

Essential requirements and candidate background

• 3+ years experience working with DBT
• 3+ years experience with data visualization software (Looker, Tableau)
• 2+ years experience extracting data with Python
• 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 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Taguig, Taguig, Philippines

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Analytics Engineer vacancy is not an offer for reference 8239207; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netskope

Applications follow the official employer page linked below.

Open the official Netskope posting below and match the title and reference 8239207.

Compare your qualifications and experience with the essential conditions for the Taguig, Taguig, Philippines position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Tableau
• AI
• warehouse operations