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Data Analyst Pandora Jobs (NOW HIRING)

Senior Staff Data Engineer

Suffolk, VA

$93.90K - $127.60K/yr

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected ... Cloud data warehouse & analytics platforms (Snowflake, BigQuery). * Observability tools like ...

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are ... By leveraging data, market insights, and innovative sales approaches, you'll optimize performance ...

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are ... By leveraging data, market insights, and innovative sales approaches, you'll optimize performance ...

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are ... Experience with sales analytics, data analysis, audience targeting, and performance metrics ...

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are ... Data-driven and highly analytical, comfortable with dashboards and quantitative decision-making.

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) are ... Analyze bid data to identify trends, opportunities, and challenges that inform sales strategies ...

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Data Analyst Pandora information

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$34K

$82.6K

$136K

How much do data analyst pandora jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data analyst pandora in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst at Pandora, and why are they important?

To thrive as a Data Analyst at Pandora, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), programming languages (such as SQL and Python), and experience with analytics platforms are typically required, alongside knowledge of music industry metrics. Excellent communication, attention to detail, and problem-solving abilities help you interpret and share insights effectively across teams. These skills ensure data-driven decision-making that supports business growth and enhances user experience.

What are some common challenges Data Analysts face when working at Pandora, and how can they overcome them?

Data Analysts at Pandora often encounter challenges such as managing large, complex datasets from diverse sources like listener behavior, ad performance, and music catalog data. Navigating these vast datasets requires strong organizational skills and familiarity with data cleaning and transformation tools. Additionally, collaborating closely with cross-functional teams—such as marketing, engineering, and product—demands clear communication to translate data insights into actionable business strategies. To overcome these challenges, it’s helpful to stay current with data visualization techniques, foster open communication with stakeholders, and continuously develop technical skills in SQL, Python, and relevant analytics platforms.

What does a Data Analyst at Pandora do?

A Data Analyst at Pandora is responsible for collecting, processing, and analyzing large sets of data to help improve the company's music streaming services and business operations. They work closely with product, marketing, and engineering teams to generate insights from user behavior, identify trends, and create reports that inform decision-making. Their work often involves using statistical tools and programming languages to interpret data, develop dashboards, and present actionable recommendations to stakeholders.

What is the difference between Data Analyst Pandora vs Data Analyst Spotify?

AspectData Analyst PandoraData Analyst Spotify
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in similar fields; strong skills in SQL, Python, and data visualization
Work EnvironmentMusic streaming industry; collaborative teams; focus on user behavior and preferencesMusic streaming industry; data-driven culture; focus on listener engagement and content optimization
Employer & Industry UsagePrimarily in entertainment and media companies; specific to Pandora's platformPrimarily in entertainment and media; Spotify's platform focus

Both roles involve analyzing user data to improve services, but Pandora's Data Analyst typically focuses on music preferences and user engagement specific to Pandora, while Spotify's Data Analyst works across a broader music catalog with a focus on content recommendations and listener insights. The skills and tools required are similar, making these roles comparable within the streaming industry.

Infographic showing various Data Analyst Pandora job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 6% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$93.90K - $127.60K/yr

Other

Posted 11 days ago


Job description

Who We Are:

SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners - in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.

This is where a diverse group of emerging talent and legends share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. Regardless of their role, each of our employees is vital in bringing SiriusXM's vision to life daily.

SiriusXM Media is the gateway for marketers to North America's most prominent digital audio advertising ecosystem. As the combined advertising revenue organization of SiriusXM Holdings Inc., SiriusXM Media spans across leading owned and operated audio platforms Pandora and SiriusXM; innovative ad tech solutions powered by AdsWizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBC Universal, SoundCloud, and many more. Reaching more than 150 million listeners each month, SiriusXM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe.

AdsWizz, a subsidiary of SiriusXM, is the leading global provider of digital audio and podcast advertising solutions. AdsWizz is the underlying monetization solution for well-known music platforms, podcasts, and broadcasting groups worldwide, giving advertisers of all sizes unprecedented access to premium and niche audio content. Through dynamic ad insertion, advanced programmatic platforms, and innovative audio formats, AdsWizz efficiently connects buyers and sellers for digital audio and podcast advertising. AdsWizz is a global company with a presence in over 40 countries and a Technology Development Hub in Bucharest, Romania.

How you'll make an impact:
As a Senior Staff Data Engineer, you will join a highly performing team of engineers who build, own, and maintain backend services, data products and reporting applications. You will design, collaborate, and execute building the AdsWizz data products and reporting systems at scale while automating and providing insights into the data onboarding with the SXM Media and AdsWizz services.

What you'll do:

  • Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.

  • Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data.

  • Work with various teams of engineers building software in a collaborative development process.

  • Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent.

  • Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively.

  • Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team.

  • Responsible for mentoring and guiding junior engineers.

What you'll need:

  • 12+ years of software engineering experience in Python or Java programming language (preferably JDK17 or higher).

  • 7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics.

  • 7+ years of experience crafting REST API based-microservices and scalable products, utilizing diverse cloud platforms (ideally AWS).

  • Cloud data warehouse & analytics platforms (Snowflake, BigQuery).

  • Observability tools like Prometheus, Grafana, ELK stack.

  • Data pipeline expectations framework experience (like Monte Carlo data, Great Expectations, Soda).

  • Working with containers (Docker, Kubernetes).

  • Messaging platforms and stream data processing (like Kafka, Flink, Pub/Sub).

  • Collaboration tools like Miro (or Lucidchart), Jira and Confluence.

  • Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing.

  • Ability to work independently and oversee entire projects or significant parts, focusing on research and completing the tasks on time.

  • Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement.

  • Nice to have expertise in Caching implementations (like Redis, Memcached, etc.).

  • Nice to have expertise in Designing and maintaining Public APIs and data contracts.

  • Nice to have Security basics (e.g., OAuth2 standard).

  • Nice to have Foundational Amazon Cloud Services, like S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito, and others.

  • Nice to have NoSQL databases knowledge (Druid, DynamoDB, SingleStore, or others).

  • Nice to have hands on experience with AI coding assistants and tools to help with coding and data analytics.

  • Bachelor's Degree in Computer Science/Mathematics or a similar field.

  • Must have legal right to work in the U.S.

Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

R-2025-11-20