Digital Analyst - Audience Development & Analytics

Location
Washington, DC
Posted
Jul 01, 2019
Closes
Aug 16, 2019
Ref
JR-90270884
Hours
Full Time
Application Instructions

Please list all professional experience and explain any gaps in employment history.

Job Description

The Audience Development and Analytics department drives strategic and operational decisions for The Washington Post. This highly visible team applies analytics and research to support strategic initiatives and day-to-day operational support company-wide and is currently seeking a Digital Analyst.



Description:

As our Digital Analyst you'll report to the Director of Digital Analytics and work in close collaboration with the newsroom, product, engineering, advertising and finance departments on a diverse range of projects that have a critical and strategic impact on all aspects of the company. You'll regularly interact with various stakeholders in these departments, understand needs, build reports, conduct data analysis and make actionable recommendations. You'll love solving open-ended problems by taking mountains of data, transforming it into meaningful analysis aimed towards identifying solutions and opportunities. You're happiest in a role where you can solve problems where business, math, technology and practical intuition converge.



Responsibilities:
  • Work with stakeholders across departments to understand what KPIs are important from a priorities perspective and come up with a measurement plan
  • Work with the Engineering, Product and Marketing teams to ensure metrics are appropriately defined, implemented and tested across our digital assets
  • Design, build and maintain key periodic reports, dashboards and analyses utilizing Hadoop, Web Analytics tools (Adobe Analytics/ Google Analytics), R, Python, Tableau and other reporting and visualization tools
  • Develop best practices and approaches to answer ad hoc questions on online user behavior, customer journeys, engagement, conversion data and multi-channel attribution
  • Assist various testing and optimization efforts and special initiatives by performing in-depth and ad-hoc analysis of information from multiple data sources (web analytics data, marketing data, newsletter data, subscription data, alternate platforms as well as external data) to assist data informed decision making at all levels
  • Prepare and present reports, analysis and presentations to various stakeholders including executives


Qualifications:

  • Bachelor's degree required, technical discipline (Computer Science, Statistics, Mathematics or equivalent practical experience) preferred
  • 3+ years of data analytics experience, with a strong preference for experience in web analytics and digital domains
  • A strong quantitative, creative and problem solving mindset
  • Ability to multitask, prioritize projects, and meet deadlines. Execute high-quality work under tight deadlines with strong attention to detail
  • Strong analytical and communication skills. Ability to work successfully in a team environment, as well as independently and exercise sound professional judgment.
  • Drive to learn and master new techniques, technologies and methodologies to solve new problems
  • Tools and Technologies
    • Backend
      • Expert knowledge of relational and non-relational Database Systems, Advanced SQL and Microsoft Excel. Experience with MySQL, PostgreSQL on cloud is a plus
      • Expertise in Big Data tools and distributed data/computing tools like Hadoop (or other big-data solutions), Map/Reduce, S3, Hive, Spark etc.
    • Middle Layer
      • Expert knowledge of R, Julia or other econometric software and statistical packages/tools
      • Expert knowledge of Python (with pandas, numpy, scifi preferred) and other data analysis packages to manipulate data and draw insights from large data sets
      • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. is strongly preferred
    • Visualization
      • Expertise in architecting and building Tableau dashboards and reports
      • Expertise with R Shiny, D3 or other visualization/ reporting tools is strongly preferred
    • Hands-on experience with one or more Web Analytics tools is strongly preferred (Adobe Analytics, Google Analytics, etc.)
    • Understanding and experience with key platform technologies including APIs & Management, Platform Services, Streaming Systems, Stream Processing, and Persistent Storage for Analytics and Applications
    • Experience collecting, cleaning, and organizing data from a multitude of sources to perform analysis

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