Analytics Engineer (L4) - Games DSE

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our content teams create and distribute titles that drive member value. They will also be a thought leader in the analytics domain, capable of transforming complex metrics and data science outputs into actionable insights.   

Check out this blog post to get a better feel for what it’s like to be an Analytics Engineer at Netflix.

What you will do:

• You will create impactful analyses, metrics, reports, dashboards, and custom tools to reveal in-depth insights into our games performance.

• You will work cross-functionally to identify opportunities that enhance our overall games portfolio strategy, across different verticals

• You will team up with other data and insights colleagues to develop robust, scalable solutions for our business.

• Work with our Data Engineering partners, and other Data Scientists on the team to make sure we have great data to support the games and products we are building

• Proactively perform data exploration and analytical deep dives to discover insights or future opportunities

A mix of skills you have:

• You have exceptional communication and collaborative skills.

• You are experienced with delivering actionable insights via various data analysis techniques (regression, cohort, cluster, time series, factor, etc).

• You are experienced with industry-standard visualization and BI tools (for example, Tableau, Looker, Power BI, Microstrategy, etc).

• You are fluent in SQL for working with big data (e.g. Spark, Trino) & experienced in engineering data pipelines and orchestrating workflows (e.g. Airflow, Metaflow).

You are:

• An analytics professional with 3-5 years of experience in the field with a proven track record of understanding the true needs of the business and how to use data skills and partnerships to fulfill those needs.

• A strong communicator who can develop, own, and deepen strong relationships with a wide variety of non-technical and technical stakeholders.

• Comfortable with ambiguity and able to thrive with minimal oversight and process.

• Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.

• An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects.

• An individual with a growth mindset who is impact-driven, and has a strong desire for growing a broad set of technical and non-technical skills.

• Netflix culture resonates with you

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of Netflix is typically $150,000 - $750,000. 

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here. 

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.