Business Intelligence Analyst

Job Description

DESCRIPTION:

Brand Overview:

Smithsonian Channel is where curiosity lives, inspiration strikes and wonders never cease. This is the place for awe-inspiring stories, powerful documentaries and amazing entertainment. As a joint venture, Smithsonian Channel combines the storytelling prowess of Showtime Networks with the unmatched resources and rich traditions of the Smithsonian Institution. We create award-winning programming that shines new light on popular genres such as: air and space, history, science, nature, and pop culture. This is Smithsonian Channel. It's brighter here!

Role Details:

Interest and ability to take on highly technical analyses, which require researching, reporting, presenting and ultimately providing decision support services and actionable insights to the business. Sources of data include traffic/video/ consumption data from Adobe Analytics tools (Omniture), purchase/ subscription data via SQL queries on a data warehouse, audience data from syndicated audience measurement services (comScore/ Nielsen), Ad revenue data from Doubleclick, and many more

Your Day-to-Day:
• Build and manage reports showing the health of key business metrics across platforms like desktop web, mobile web, mobile apps, connected over-the-top devices, and subscription video services
• Write SQL to query a data warehouse and join a customer table to a product-purchase table in order to report the number of customers in a particular city/ zip code that purchased an online video subscription service last month
• Creating reports that spotlight the lifetime value of a user that downloaded the Smithsonian Channel app (iOS or Android)
• Scrape twitter to pull in tweets from a specific hashtag from Smithsonian Channel. Use Python to perform exploratory data analysis on the data and process the tweets via a sentiment analysis engine to gauge how viewers felt about the content provided. Uncover data stories and insights and present your findings to the executive team
• Build dashboards and reports in Adobe Analytics that illustrate the fall-out rate of customers as they engage in a product purchase funnel. Make recommendations to the business from the data
• Arming the editorial staff with insights around the types of stories and content that resonated with Smithsonian Channel visitors, so they can best focus their time covering the areas of highest user interest
• Leverage insights found via 3rd-party research companies and syndicated tools (comScore) to uncover areas of strength versus Smithsonian Channel competitors. Socialize and present findings to the Sales team to aide in their efforts
• Interacting with the broader BI team; helping to shape team processes, sharing insights, ideas and reports.

Key Projects:
• Build dashboards (using Tableau, Python and other BI tools) that illustrate how key performance indicators (KPIs) and metrics are changing over time. Provide ''color'' and insights from the findings and make recommendations to the business.
• Create a lifetime value report (LTV) by signup month cohort for a paid online content subscription product in order to understand how much we can spend to acquire new customers
• Create a user-based analysis to understand how different consumers, broken down by behavioral segments, contribute to overall revenue. The ultimate goal is to be able to use this analysis to encourage profitable user behavior or to convert users for one segment to a more profitable one

QUALIFICATIONS:

What you bring to the team:

You have -
• BA/BS
• 2+ years of experience in web analytics, online media industry.
• Strong experience in web analytics, video analytics (Adobe Analytics, Google Analytics) and 3rd-party syndicated audience measurement services (comScore/ Nielsen)
• Understanding of web, native app, video measurement technology and standards
• Proficient with analytical tools and languages supporting data analysis, reporting, and visualization - Excel, Microsoft Office, Google Collaborative Apps (Docs, Sheets, Slides), Tableau, R, Python
• Experience extracting data from databases using SQL
• Strong detail-orientation with a penchant for data accuracy and good grammar
• Exceptional communicator across all levels of the organization; able to effectively tell stories with data and present findings to a non-technical audience
• Interpersonal skills and are comfortable in a diverse environment

You might also have -
• Strong mathematics, statistics background
• Experience using project management tools like those from Atlassian (JIRA, Confluence)
• Experience using Google Cloud Platform (BigQuery)

Jobcode: Reference SBJ-g4n1qd-18-221-154-151-42 in your application.