BI/Media Analyst

Full Time

Technology

Vancouver

What we're looking for

Responsibilities

The BI/Media Analyst is responsible for learning from and supporting our media and strategy teams as they help Noise’s clients understand their audiences, enhance their digital user experience, and increase their online KPI performance.

Why Noise?

  • Incredibly diverse team that truly embraces principles of equality
  • 20+ years of digital marketing leadership  
  • A flat organization that lets you be you
  • Amazing client partners that keep the work exciting
  • Flexible hours
  • Flexible working environment
  • Client partner perks

What you'll do

The BI/Media Analyst will work on multiple client engagements at all stages, including:

  • Interpreting client analytics requirements
  • Drafting proposals, timelines, and budgets
  • Recommending and implementing tracking for Key Performance Indicators
  • Configuring data sources to share data with web analytics and business intelligence tools
  • Developing and interpreting reports in web analytics and business intelligence tools
  • Building dashboards in web analytics and business intelligence tools
  • Finding and communicating actionable trends and segments
  • Articulating data-driven recommendations
  • Answering ad hoc questions
  • Identifying opportunities to capture additional user behavior data
  • Assist in sales and marketing by coordinating proposals, writing case studies and blog posts

What you'll need to bring

  • Minimum 1 years of experience creating reports and dashboards with Google Analytics, DataStudio, Adobe Analytics, Webtrends, Mixpanel, Parse.ly and other web analytics software. Google Analytics advanced certification preferred.
  • Understanding of online marketing channels including Programmatic (Google Marketing Platform preferred), PPC, SEO, affiliate programs, social media, email, partnerships, etc.
  • Excellent written and verbal communication and presentation skills.
  • Experience with Microsoft Office applications, especially Excel and PowerPoint, and Google Drive equivalents.
  • Ability to work independently and as part of a team.


Nice to have

Additional Skills

  • College degree or MBA preferably in Mathematics/Statistics/Data Science
  • Web analytics certification or other training
  • Experience with data visualization tools (such as DOMO, Klipfolio, Tableau, Power BI, Looker, Periscope, Cyfe)
  • Experience querying and analyzing data from large databases (such as Google Cloud SQL, Google BigQuery, Amazon Redshift, R).
  • Proficiency with SQL (MySQL, MSSQL Server, PostgreSQL) to query and analyze data from Google BigQuery, Amazon Redshift, other
  • Experience importing analytics and other data via APIs into spreadsheets (via R, Python, AppScript, SuperMetrics)
  • Experience with Machine Learning, Predictive Analytics, Data Modelling, etc.
  • Some experience with R, Python for data collection (from API’s or databases), analysis, visualization and reporting or dashboards
  • Basic familiarity with Google Tag Manager, Tealium, Adobe Dynamic Tag Manager, Segment or other Tag Management Systems.
  • Understanding of website design, development and publishing.
  • Basic JavaScript knowledge

Team & Education:

  • Attend regularly scheduled office meetings and developmental activities
  • Regular 1:1 meetings
  • Develop and implement processes, procedures and best practices
  • Educate Strategy and Media teams on Tagging and Analytics solutions and implementation best practices

Training Objectives:

Ultimately the successful candidate will expand on their existing proficiencies by learning these additional skills, including certification where applicable:

Advanced tag implementation through Google Tag Manager, Adobe Launch, Tillieum, etc.

  • Creating tagging plans
  • Debugging tagging implementations
  • Optimizing existing implementations

Advanced web analytics implementation through Google Analytics, Adobe Analytics, etc.

  • Creating analytics plans
  • Debugging analytics implementations
  • Optimizing existing implementations

Tagging and Analytics client ecosystem auditing

  • Conducting stakeholder interviews
  • Auditing analytics tech and processes
  • Creating and presenting Tagging and Analytics implementation plans to clients

Google Cloud proficiency

  • Advanced proficiency using GCP tools including BigQuery, DataProc, Looker, PubSub, Dataprep, etc.

Google Marketing Platform proficiency

  • Develop advanced proficiency on the GMP platform, understanding all opportunities for data capture, processing and activation

Ready to join the team?

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