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Platform Growth Engineer (Data Analyst)

Netskope

Platform Growth Engineer (Data Analyst)

Netskope

United States

·

On-site

·

Full-time

·

1w ago

Compensation

$111,000 - $225,500

Benefits & Perks

Healthcare

Equity

Free Meals

Healthcare

Equity

Meals

Required Skills

Python

R

Data Analysis

SQL

ETL

Data Modeling

Statistical Analysis

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About Us:

We are seeking a detail-oriented and an insightful Data Analyst to join our Platform Growth Engineering team at Netskope. The primary objective of this role is to drive complex data analysis initiatives within the Platform Growth Engineering team. In this position, you will leverage a deep understanding of distributed computing systems to directly access and query backend databases, transforming raw system data into actionable intelligence. Beyond the technical analysis, you will be responsible for synthesizing your findings and presenting insights to various engineering teams and product teams.

Key Responsibilities:

Work with internal and external stakeholders to gather situational inputs that will impact platform-product growth analysis

Identify and track platform-product gaps and drive to resolution

Collaborate with SRE and engineering development teams on data analysis for various systems and services

Identify and gather relevant data from internal sources

Apply statistical techniques and methodologies to analyze complex datasets

Perform exploratory data analysis to identify trends, patterns, correlations, and anomalies

Qualifications & Experience:

Must be a U.S. Citizen and eligible to obtain or hold a security clearance (e.g., Public Trust, Secret, or higher).

Familiarity with Fedramp High and PBMM compliance environments

Degree holders in STEM-related fields or equivalent experience

Data Analyst preferred with a deep knowledge of networking and distributed systems

Proficiency in at least one programming language for data analysis (e.g., Python with libraries like Pandas, Num Py, Matplotlib, or R).

Strong understanding of data modeling and best practices for event capture, ETL, and warehousing

Experience with data visualization tools (e.g., Tableau, Grafana, Google Data Looker Studio).

Understanding of network protocols and how data networks work

Experience working with network/network security related data

Effective communication and presentation skills, with the ability to convey complex information clearly

Ability to work independently and lead virtual teams in a fast-paced environment

Compensation:

At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.

The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions.

For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.

In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site.

Salary Range**$111,000—$225,500 USD**
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.

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About Netskope

Netskope

Netskope

Series F+

Held company.

1,001-5,000

Employees

Denver

Headquarters

$7.5B

Valuation

Reviews

3.6

1 reviews

Work Life Balance

2.0

Compensation

3.0

Culture

2.5

Career

3.0

Management

2.5

20%

Recommend to a Friend

Cons

Poor work-life balance expectations

Required to work beyond standard 40 hours

Expected to work until 8pm local time

Salary Ranges

35 data points

Junior/L3

Junior/L3 · ANALYTICS SPECIALIST I

1 reports

$59,824

total / year

Base

$52,021

Stock

-

Bonus

-

$59,824

$59,824

Interview Experience

47 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 62%

Neutral 26%

Negative 12%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving