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Data Analyst (Dplay) 1164 views

As the Data Analyst, you will join Dplay’s growing Insights, Analytics & Implementation team. You work as both a technical business resource and data analyst to help prioritize requirements based on value and effort, perform data analysis and drive actionable insights.

You 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 you to have strong analytics experience and be comfortable working with various tools and methodologies.

In addition, you will be comfortable with the connection and analysis of large, disparate data sets from a variety of sources in order to understand viewers, increase consumer engagement, retention and optimize conversion. Creativity and attention to detail are critical as you envision and build data solutions that change the face of the SVOD TV industry.

Key Responsibilities:

Data Engineering

  • Work closely with the Central Data team to scope, document, extract, transform and load new data sources into Discovery’s central data repository for analytics
  • Measure & analyze 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

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, analyze data and create visualization/dashboards related to audience and direct-to-consumer insights
  • Extract, understand, format and map data from multiple sources into cohesive reports
  • Utilize Business Intelligence tools to build reports and dashboards that will allow departments to visualize 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

Advanced Analytics

  • Data cleansing & preparation for analysis
  • Work closely with the 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

Key Requirements

  • Degree in Business, Engineering, Computer Science, Statistics, Mathematics or Data Science
  • Proficiency & advanced level understanding of MS Excel is a must
  • A sound grasp of Adobe Analytics and other reporting tools
  • Hands-on, extensive and proven experience with data visualization tools (especially Tableau, MicroStrategy)
  • Deep experience in developing queries and reporting based upon user requirements
  • Thorough understanding of data modeling and relational/non-relational databases
  • Ability to work in a fast-paced environment
  • Knowledge of CRM tools
  • Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.)
  • Hands-on experience of statistical packages such as R or the Python scientific stack (NumPy, SciPy, sci-kit-learn, etc.)
  • Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.)
  • A genuine interest in the rapidly changing video industry with an 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

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