Sr. Data Analyst, Marketing Analytics

Understand the business objective and marketing initiatives to then identify the key success metrics that help evaluate the performance towards the objectives Analyze correlations between business outcomes and marketing initiatives. Establish a benchmarking methodology and set targets for the key metrics identified. Measure and communicate to stakeholders the results.

Analyze correlations between business outcomes and marketing initiatives.

Establish a benchmarking methodology and set targets for the key metrics identified.

Measure and communicate to stakeholders the results.

Be a thought leader and spearhead data driven decision making amongst stakeholders. Translate the business questions and challenges from the stakeholders into analytics projects. Deliver a cross-channel, brand level view of performance, insights, and recommendations. Convey the finding on campaign performance and drive strategy and optimization change with stakeholders. Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments.

Translate the business questions and challenges from the stakeholders into analytics projects.

Deliver a cross-channel, brand level view of performance, insights, and recommendations.

Convey the finding on campaign performance and drive strategy and optimization change with stakeholders.

Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments.

Work with marketing teams to ensure marketing efforts are effective and drive incremental acquisition, engagement, and conversion. Develop marketing experiments to understand the business impact of paid media and creator campaigns. Leverage data from Adobe Analytics, Gamesight, Salesforce, Datorama and various other tools and platforms. Develop robust analytic processes to frame campaign expectations, inform decision making, and provide optimization recommendations based on performance data. Work with Data Science to use predictive analytics to analyze data from viewership, website interactions, media campaigns, CRM, and social platforms. Assist with budget planning exercises to determine optimal budget for a given campaign. Develop marketing experiments to understand the business impact of paid media