Senior Data Analyst at The Walt Disney Company EMEA
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

25 May, 25

Salary

0.0

Posted On

26 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regression Analysis, Data Science, Statistics, Power Bi, Propensity Modelling, Economics, Hypothesis Testing, Data Visualization, Stem, Looker

Industry

Marketing/Advertising/Sales

Description

REQUIRED QUALIFICATIONS & SKILLS

  • Strong analytical experience
  • Bachelor’s degree in a quantitative field such as STEM, Statistics, Data Science, Economics, Management, Marketing or Social Science. Graduate degree or equivalent experience preferred.
  • Advanced SQL skills and experience; Python/R and other statistical programming language experience preferred
  • Background in data visualization and dashboard development (e.g. Tableau, Power BI, Looker)
  • Strong understanding of statistics concepts (e.g., propensity modelling, hypothesis testing, regression analysis)
Responsibilities

ABOUT THE ROLE & TEAM

We are looking for a Senior Analyst to join the Disney+ Local Analytics team, part of the EMEA Insights & Analytics department. The purpose of this role is to gain an in-depth understanding of local customer behaviours, content preferences, and acquisition and retention insights, particularly in South Europe & Middle East and Africa (Spain, France, Italy, Turkey, South Africa, Israel and Middle East). The role involves in-depth collaboration with local business teams across the region, to provide actionable insights addressing local market nuances & challenges, while working in the regional Analytics team to benefit from standard processes, opportunities to improve technical skills, and support regional and global exposure as well as career development.
This role will require you to be onsite 4 days a week.

WHAT YOU WILL DO

  • Identify and prioritise local insight needs via collaborative and transparent road-mapping and opportunity sizing process
  • Be the “go-to” person for local business performance metrics, and the conduit to socialise regional and global insights with teams in market
  • Support training of local teams to adopt self-serve and interpret data insights
  • Shed light on local content preferences and customer behaviours, e.g. by measuring impact of content launches on acquisition and retention, tracking and evolving drivers of churn, crafting local audience cohorts (all within global/regional framework)
  • Scope out and implement local tests across merchandising, customer comms, acquisition and retention campaign evaluation - in close partnership with local and global teams. Developing test plans, defining success metrics, and ensuring robust statistical results
  • Support analysis of marketing campaigns, working in conjunction with regional team and third party marketing effectiveness agency
  • Localise analysis on global / regional projects which are rolled out across markets
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