9 days old

Data Analyst

Discovery Inc
New York, NY 10002
  • Job Code
Discovery Inc

Location: New York City, New York, United States, 10002
Req ID: 995

Discovery hires the very best and brightest talent who are enthusiastic and passionate to fulfill the company's mission of empowering people to explore their world and satisfy their curiosity.

In exchange for their talent and drive, employees are provided with an engaging, diverse workplace and the resources they need to learn, thrive and grow in their careers.


Our Team:
The Data Analyst will be part of our growing Data strategy & Analytics team. The person will work as both a technical business resource and data analyst to help prioritise requirements based on value and effort, perform data analysis and drive actionable insights.

The Role:
This person will be a key technical member of analytical projects from the beginning stages of requirements gathering all the way through final product delivery. Thus, this role will require a person with strong analytics experience who is comfortable working with various tools and methodologies.
This will be a hands-on technical role, which will require the ability to assess gaps in functionality and ensure they are corrected to suit the business needs.
The Analyst will be comfortable with the connection and analysis of large, disparate data sets from a variety of sources in order to better understand viewers, increase consumer engagement, optimise ad placement, and improve marketing. This person will need both creativity and attention to detail as they envision and build data solutions that change the face of the TV industry.


1. Data Engineering

Work closely with the Data Technology team to scope, document, extract, transform and load new data sources into Discovery's central data repository for analytics
Measure & analyse data quality and performance within Discovery's central data repository for analytics
Test & QA data coming from various sources to make sure it is legible, clean and transformed before reporting is performed

2. Data Analytics

Work with managers and stakeholders to fully understand business requirements and desired outcomes
Document & record data definitions and structure as well as specifications for Business Intelligence reports & dashboards
QA and test various calculations of dashboards based on business requirements
Develop & deploy various analytics dashboards
Assist in scoping & designing analytical projects and solutions.
Execute analytics projects ranging from small to large either individually or as part of a project team
Ensure project delivery within the allocated timelines and priorities
Generate queries & data dictionaries, analyse data and create visualisation/dashboards related to audience and direct-to-consumer insights
Extract, understand, format and map data from multiple sources into cohesive reports
Utilise Business Intelligence tools to build reports and dashboards that will allow departments to visualise and interact with data
Identify gaps and areas of improvement related to data analytics
Support roll-out of multiple sprints as a key technical resource

3. Advanced Analytics

Data cleansing & preparation for analysis
Work closely with data science team to support data and statistical models
Identify opportunities to create and automate repeatable analysis or build self-service tools for business users
Create repeatable processes to support similar business problems in the future
Stay current with new analytical tools and industry trends


Bachelor's degree in Business, Engineering, Computer Science, Statistics, Mathematics or Data Science
Ability to work in a fast-paced environment with at least 2-3 years of work experience
Proficiency & advanced level understanding of MS Excel is a must
Deep experience in developing queries and reporting based upon user requirements
Thorough understanding of data modelling and relational/non-relational databases
Hands-on, extensive & proven experience with data visualisation tools such as Tableau and Power BI
A sound grasp of Adobe Analytics and other reporting tools
Knowledge of CRM tools
Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.)
Familiar with statistical packages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.)
Genuine interest in the rapidly changing video industry with understanding of OTT video services and direct to consumer technologies
Working experience/certifications in Agile (Scrum) and/or Lean (Kanban) delivery frameworks preferred
Strong analytical, critical thinking, and problem-solving skills
Ability and eagerness to constantly learn and teach other
Must have the legal right to work in the United States

Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

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.

EEO is the Law
Pay Transparency Policy Statement
California Job Applicant Privacy Policy

If you are an individual with a disability and need an accommodation during the application process, please send an email request to HR@discovery.com.



Posted: 2020-11-14 Expires: 2020-12-15

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Data Analyst

Discovery Inc
New York, NY 10002

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