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Business Intelligence Analyst

Salary undisclosed

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The analyst will support media mix modeling and media optimization efforts. The role requires the ability to translate data to clear, actionable insights and recommendations utilizing both media mix modeling and media attribution tools. You will be collaborating closely with marketing and media activation teams to optimize media impact and maximize return on ad spend.

The ability to interpret data and provide relevant context to explain marketing performance will be key to success in this role. The ideal candidate will possess strong communication skills, an inquisitive nature, attention to detail, and a love of media with previous experience or coursework in marketing efficiency and measurement.

Responsibilities

Analyze marketing and attribution data to quantify return on marketing investment and optimize budget allocation across channels and partners utilizing media mix model, cross platform analyses, and experimentation outputs

Provide insights to marketing and media activation teams to inform strategic marketing decisions and implement budget recommendations and optimizations

Create and maintain reporting and dashboards for internal marketing teams and external agency

Partner closely with internal data science teams and external partners to enhance and optimize the media mix to increase relevance and actionability of the results

Improve and strengthen marketing data pipelines with data engineering teams

Support ad hoc analysis to provide deeper and more granular insights on media performance

Additional other duties and responsibilities, as assigned

Qualifications:

BA/BS. 2+ years experience in digital marketing and analytics, web analytics, online media industry.

Proficient in SQL with a thorough understanding of data and systems' infrastructures; experience extracting data from databases using SQL

Experience or coursework in media measurement including 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

Strong detail-orientation with a penchant for data accuracy and good grammar

You might also have:

Strong mathematics, statistics background

Strong solutions-oriented and critical thinking mindset

Experience using Google Cloud Platform (BigQuery)

Experience translating requirements into actionable instructions and documentation

Experience in working independently to meet deliverables with some oversight

Experience using project management tools like those from Atlassian (JIRA, Confluence)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

The analyst will support media mix modeling and media optimization efforts. The role requires the ability to translate data to clear, actionable insights and recommendations utilizing both media mix modeling and media attribution tools. You will be collaborating closely with marketing and media activation teams to optimize media impact and maximize return on ad spend.

The ability to interpret data and provide relevant context to explain marketing performance will be key to success in this role. The ideal candidate will possess strong communication skills, an inquisitive nature, attention to detail, and a love of media with previous experience or coursework in marketing efficiency and measurement.

Responsibilities

Analyze marketing and attribution data to quantify return on marketing investment and optimize budget allocation across channels and partners utilizing media mix model, cross platform analyses, and experimentation outputs

Provide insights to marketing and media activation teams to inform strategic marketing decisions and implement budget recommendations and optimizations

Create and maintain reporting and dashboards for internal marketing teams and external agency

Partner closely with internal data science teams and external partners to enhance and optimize the media mix to increase relevance and actionability of the results

Improve and strengthen marketing data pipelines with data engineering teams

Support ad hoc analysis to provide deeper and more granular insights on media performance

Additional other duties and responsibilities, as assigned

Qualifications:

BA/BS. 2+ years experience in digital marketing and analytics, web analytics, online media industry.

Proficient in SQL with a thorough understanding of data and systems' infrastructures; experience extracting data from databases using SQL

Experience or coursework in media measurement including 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

Strong detail-orientation with a penchant for data accuracy and good grammar

You might also have:

Strong mathematics, statistics background

Strong solutions-oriented and critical thinking mindset

Experience using Google Cloud Platform (BigQuery)

Experience translating requirements into actionable instructions and documentation

Experience in working independently to meet deliverables with some oversight

Experience using project management tools like those from Atlassian (JIRA, Confluence)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job