Sr. Analytics Implementation Engineer- Remote

Job Description

Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the US in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.

ViacomCBS Streaming builds entertainment experiences that drive conversation and culture around the world. Through television, film, digital media, live events, merchandise and solutions, our brands connect with diverse, young, and the young at heart audiences in more than 180 countries.
Overview & Responsibilities

Data plays a key role at Paramount+ and as part of the Data & Insights Group (DIG), our Measurement Operations team is a crucial part of our success. It drives business, product, and operational decisions by providing rich data, strategic insights, and analytical products. We are looking for a Sr. Engineer who is passionate about data and entertainment, and who thrives in a dynamic and fast-paced environment. You will be collaborating with Business Intelligence, Data Engineering, Marketing, Finance, Product, and Development teams to build and implement scalable measurement solutions that power business decisions that are built upon a foundation of data integrity.

The ideal candidate should have curiosity about taking on highly technical data implementations. You will develop knowledge of our data platform, Adobe Experience Platform (AEP), and ensure that all implementations conform to our data governance as well as industry standards. The candidate must also possess good technical competence, superb communication skills, a customer-service mentality and be able easily translate business needs to technical requirements. Does this sound like you?

Responsibilities:
• Develops prototypes to proof out strategies for data pipelines and products
• Design, develop and support scripts, APIs, and solutions to facilitate integration across tools and data sources
• Provide technical subject matter expert knowledge and consulting on data usage, data quality, and data management techniques
• Translate business questions into detailed tracking specifications and data models
• Train data consumers on how to best access their data using SQL, GUIs, and APIs
• Build and maintain systems that continually monitor data integrity pre and post release
• Create and maintain documentation for internal and external partners
• Creative problem solving skills, including the ability to articulate high-level technical solutions.
• Easily communicate and break down highly complex data problems into simple, feasible solutions.
• Responsible for the end-to-end delivery of analytics implementation projects.
• Perform data quality audits, QA tags, identify data collection issues, suggest improvements and work to implement fixes.
• Provide thought leadership for data collection and ways to standardize across a global environment.
• Act as a liaison between business owners and application development teams.
• Effectively communicate the impact and correct prioritization of tracking bugs, enhancements and issues.
• Build effective and mutually beneficial relationships with all clients, partners, vendors and developers.
• Lead releases and ensure successful tracking implementation and QA testing.
• Lead large-scale implementation projects with ease across interdisciplinary teams.

Basic Qualifications:
• A minimum of 3-4 years of work experience in analytics or equivalent experience (minimum of 2 years with an advanced degree)
• Proficient in Python
• Able to write SQL to perform common types of analysis
• Intermediate knowledge of web analytics tools (e.g. Adobe Analytics / Google Analytics) and/or tag management tools (e.g. Tealium, Ensighten, Google Tag Manager).
• Demonstrate exceptional organizational skills and ability to multitask simultaneous different projects
• Communication skills including the ability to identify and communicate data-driven insights.
• Excellent written and verbal communication skills
• Strong problem-solving and creative-thinking skills.
• Be curious and have a keen interest in continual learning & improvement
• Ability to communicate technical concepts to non-technical audiences, as well as translate business requirements into technical specs for developers.
• Ability to lead and mentor junior team members.

Additional Qualifications:
• Experience with one or more of the following: data analytics data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience with coding language.
• Agile experience and familiarity with JIRA and Confluence.
• Excellent technical leadership, project management, analytical problem-solving, and troubleshooting skills.
• Experience developing solutions for tag deployment through tag management systems (Tealium, Adobe Launch).
• Some hands-on experience and implementation expertise with Adobe Analytics (formerly Omniture Site Catalyst) tool or similar analytics platform.
• History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises, preferably in the media industry.

Paramount is an equal opportunity employer (EOE) including disability/vet.

Jobcode: Reference SBJ-d5w363-3-141-100-120-42 in your application.