Staff Analytics Engineer - Data Analytics Team, Hyderabad

Storytelling is, and will always be, the heart of what we do at Skydance.

Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!

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Staff Analytics Engineer - Data Platform, Hyderabad

Meet Our Team :

The Commerce & Growth Analytics team works across acquisition and retention sciences, partnering with Product, Marketing, Engineering, Finance, and other cross-functional stakeholders to understand how customers discover, subscribe, activate, and retain streaming products. We develop and support strategic data & analytical products combining advanced analytics, statistics, experimentation, machine learning, and scalable data engineering to generate actionable insights that influence activation, monetization, and revenue growth across global markets. Working with large-scale behavioral, subscription, authentication, and payment data, we solve complex business problems and drive data-informed decision-making across the organization.

About the Role :

As a Staff Analytics Engineer, you will be responsible for data pipeline, data strategy, and data visualization-related efforts for the Commerce & Growth Analytics team. You're an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments.

Roles & Responsibilities:

• Design and implement data models that support flexible querying and data visualization.

• Partner with Commerce and Growth stakeholders to understand business questions and build out advanced analytical solutions.

• Advance automation efforts that help the team spend less time manipulating and validating data and more time analyzing.

• Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.

• Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.

• Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.

• Identify and explore new opportunities through creative analytical and engineering methods.

• Create new or optimize existing analytics development standards and best practices.

• Mentor and provide guidance to junior data analytics engineers on the team.

What to Bring:

• Bachelor's degree, MS, or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.).

• 9+ years of relevant experience in business intelligence / data engineering.

• Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, and ELT/ETL.

• Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records.

• Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats.

• Experience with big-data technologies (e.g. Spark, Kafka, Hive).

• Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau).

• Proficiency with Git (or similar version control) and CI/CD best practices.

• Experience managing workflows using Agile practices.

• Expertise in writing clear, concise documentation and communicating with a high degree of precision.

• Ability to solve ambiguous problems independently and to manage multiple projects and time constraints simultaneously.

• Care for the quality of the input data and how the processed data is ultimately interpreted and used.

• Strong written and verbal communication skills, and strong organizational skills with the ability to act independently and responsibly.

• Self-starter, comfortable initiating projects from design to execution with minimal supervision, and able to balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment while consistently meeting deadlines.

• Team player and relationship builder.

Good to Have :

• Experience with OLAP databases such as Snowflake or Redshift.

• Experience with dbt or similar transformation and semantic-layer frameworks.

• Experience with digital products, streaming services, or subscription products.

• Experience with cloud data platforms such as Databricks.

What We Offer:

• A Great Place to work

• Equal opportunity employer

• Fast track growth opportunities

About Skydance

Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.

Some Important Details

We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.