Warner Bros. Discovery
New York, NY
Hybrid

Big Data Analyst

Sorry, this job was removed at 7:24 p.m. (EST) on Thursday, April 6, 2023
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Overview:
Our Team: Media Attribution and Analytics
The Media Attribution and Analytics team powers Warner Bros. Discovery's internal Subscriber Growth and Media group. The team manages the data and analytics for all owned & paid media across linear tune-in and streaming outcomes. Data engineering, products, operations, and advanced analytics all sit within the team to streamline collaboration and create agility. We are an in-house data product team working with big data, including streaming analytics, smart tv and MMPs to measure billions of media impressions weekly. We continually work to enhance the data processing, code, methodologies and products deployed to drive dashboard reporting, multi-touch attribution, media mix models, incrementality, ROI reporting and real-time optimization for streaming and tune-in. Our mission is to power our marketing arsenal driving results across multiple business units. Come join a team that is at the heart of media and data at Discovery.
The Role:
The Big Data Analyst will lead the exploration of media measurement across linear TV and Discovery+ and HBO Max streaming outcomes. Sitting at the intersection of marketing and big data, the role will query/mine vast amounts of data across global media exposures and cost, and viewership and subscription conversions. The analysis will pull from a variety of data sources (structured and unstructured) while leveraging advanced statistical frameworks. The role will provide research trends and insights to improve media efficacy and drive revenue outcomes cross-platform as well as find and identify new opportunities to evolve the business operations and practices. The ideal candidate will be skilled in communicating with business stakeholders to gather data/analysis requirements and explain results in a concise manner.
The Big Data Analyst will also support the ongoing development of the internal data infrastructure and self-serve reporting dashboards to empower a variety of media and marketing stakeholders driving real-time optimizations. The role will own, automate and build data products from analysis projects that provide ongoing benefit to the business and will also help advance key business initiatives including media mix modeling, multi-touch attribution, audience segmentation and customer journey tracking. If you love big data and believe streaming is the future of TV, come join a data team that has built out smart tv advanced analytics in-house.
Responsibilities:

  • Query and analyze raw data including smart tv data, campaign exposure data and other datasets (e.g. digital and app measurement partners) to drive media business requirements, insights and improved outcomes
  • Analyze ecosystem metrics across linear, TVE and DTC streaming, producing automated dashboards for media partners while identifying larger consumer shifts and business opportunities
  • Interpret brand awareness media performance across platforms and channels to define audience opportunities, media mix model strategies and multi-touch methodologies
  • Work with data science to test supervised and unsupervised learning models and build algorithmic solutions
  • Model target audience predictions to power linear marketing tactics and digital segmentation optimization engines
  • Utilize big datasets to analyze and extract deep learnings to guide media strategy and optimization
  • Convert high value analysis projects to automated data products
  • Collaborate with other analysts to build out and maintain self-serve dashboards
  • Work with data engineering to consolidate and analyze structured and unstructured "big data" sources
  • Write queries and code to extract relevant data from various platforms
  • Help ensure that data is accurate and consistent throughout the organization
  • Scope and manage ad-hoc analytics projects driven by the needs of the company


Qualifications:

  • Bachelor's degree in a subject such as Applied Mathematics, Statistics, Engineering, Computer Science, etc.
  • 2+ years of relevant work-related experience working with large datasets
  • Experience with data programming languages (e.g. SQL, Python, R)
  • Strong SQL experience, ability to perform effective querying and analysis of data from multiple sources
  • Working knowledge of AWS Big Data Tools (S3, Red Shift, Athena) or like environments
  • Experience with source control system, ideally Github
  • Understanding of the Data Lifecycle Management process to collect, access, use, store, transfer, delete dataHighly proficient in mathematics, including probability & statistics
  • Deep understanding of predictive analytics and experience working with foundational data science models
  • Proficient in visualization tools, such as Tableau
  • Experience working with data engineering and science teams
  • Experience presenting complex business methodologies and results to senior stakeholders
  • Ability to build and nurture strong working relationships with internal and external clients
  • Media Industry experience and/or ad tech is a plus
  • Experience with viewership datasets (Nielsen, Inscape, Samba, Set-Top Box, etc) a plus
  • Proven ability to advance large task-based projects through completion
  • Ability to manage through solving complex business problem and offer solutions
  • Ability to build and nurture strong working relationships with internal and external clients
  • Ability to prioritize tasks and resolve problems in a timely manner
  • Ability to navigate through data ambiguity and pivot when necessary
  • Ability to work in agile environments
  • Utilization of G suite (sheets, slides) required, advanced Excel a plus
  • Must have the legal right to work in the United States


In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in New York City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $52,360 -$97,240 salary per year.
Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO).
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including but not limited to all local Fair Chance Ordinances.
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What are Warner Bros. Discovery Perks + Benefits

Warner Bros. Discovery Benefits Overview

Warner Bros Discovery offers a comprehensive set of benefits and perks to support employees in their personal and professional lives. Some program highlights include:

• Local medical, dental, and vision programs in many countries around the world.
• On-site wellness and fitness centers across several of our office locations.
• Family support programs. In the U.S., additional services include on-site childcare in certain offices, backup childcare services, family caregiver leave, adoption, surrogacy, and cryopreservation assistance, and more.
• Tools and resources to support the mental wellbeing of our employees and their dependents, including mental health counselors and 24/7 access to free, confidential support through our Employee Assistance Program administrators.
• Products and services to support financial wellbeing including financial planning tools, and a 401(k) savings plan in the U.S.
• Flexible work arrangements around the globe, allowing employees to better balance work and personal commitments.
• Global learning, leadership & organization programs to inspire, equip, and empower our people to thrive. These programs and resources are accessible to everyone at whatever stage they are in their career.

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Open office floor plan
Employee resource groups
Employee-led culture committees
Hybrid work model
In-person all-hands meetings
Summer hours
Employee awards
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Team workouts
Mental health benefits
Transgender health care benefits
Wellness days
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Pay transparency
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Paid volunteer time
Sabbatical
Paid holidays
Paid sick days
Flexible time off
Bereavement leave benefits
Company-wide vacation
Office Perks
Commuter benefits
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Relocation assistance
Home-office stipend for remote employees
Meditation space
Mother's room
Onsite gym
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Online course subscriptions available
Customized development tracks
Paid industry certifications
Personal development training
Virtual coaching services

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