ESPN · 4 days ago

Data Analyst

New York, NY, USA

Full-time

Onsite

Mid Level

$98K/yr - $131K/yr

3+ years exp

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BroadcastingFilm Production

Insider Connection @ESPN

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Conduct analyzes to drive valuable business insights, using internal analytics tools and SQL to access and manipulate multivariate data

Build data visualizations and multi-faceted dashboards that convey key engagement metrics, significant trends, and relationships across multiple data sources within the sports domain

Ideate and develop new metrics and analytical approaches, measuring sport trends and audience behavior for both tactical and strategic decision-making

Effectively communicate results through compelling data storytelling across the organization, both in oral presentations and via written reports

Provide ad-hoc analysis support to identify trends that drive business performance

Qualification

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Data AnalyticsSQLStrategic ThinkingData ManipulationData InterpretationData VisualizationTableauLookerIssue ResolutionData StrategyData StandardizationData CleansingData ValidationProblem-SolvingAnalytical ThinkingCommunicationStreaming Media IndustryDirect-to-ConsumerSubscription-Based ProductData StorytellingPythonR

Required

Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, Marketing, or related field

At least 3 years of Data Analytics experience

Advanced analytical skills (including proficient ability to read/write complex SQL queries) with the ability to apply business strategy to data analysis and recommendations

Ability to think strategically, analyze and interpret first and third party information

Experience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools

Experience with data exploration and data visualization tools like Tableau or Looker

Strong analytical and technical skills to tackle issues, analyze the cause, quickly come-up with possible solutions, detail the changes, and communicate organizational impact

Demonstrable experience in detailing the data requirements, data strategy, data rules (standardization, cleansing, and validation)