Global Sales Analytics Lead - Meta : Job Details

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

Identify and measure success of the ads business through goal setting, forecasting, and monitoring of key metrics to understand trends.

Conduct analysis using internal and external data (e.g.

customer, user, revenue, product, market, industry) to derive insights that will drive business decisions.

Develop deep understanding of the Meta ads business, analyzing business and product trends (including regional, channel and vertical performance), recognizing opportunities, and presenting recommendations to stakeholders.

Conduct deep dives through complex data analysis to extract meaningful insights for the sales and product leadership teams.

Work effectively with Sales Operations, Finance, Engineering and other cross functional teams globally, driving results in the form of data insights and building strategic partnerships.

Conceptualize, build, manage and maintain centralized tools (including dashboards) that the business and Analytics teams can use to extract data /insights for daily business management in an automated manner.

Master's degree (or foreign degree equivalent) in Business Analytics, Business Management, Computer Science, Engineering, Mathematics, or related field and

1 year of work experience in the job offered or a computer-related occupation. Requires 1 year of experience in the following

Demonstrated problem solving with experience providing business insights and recommendations from data sets (revenue, product, market, and industry trends)

Working independently, managing multiple concurrent projects, and driving initiatives in a cross-functional environment

Stakeholder management, including managing multiple partners simultaneously

Presenting technical content to non- technical audiences and leadership, through data visualizations, to tell the story behind the numbers and answer key business problems

Establishing short and long-term goals that will advance the organization's productivity through analytics

Analyzing and deriving meaning from unstructured data sets

Involvement with efficiency analyses to optimize go-to- market investments

Built prototypes of analytical tools and dashboards that helped scale the procurement of insights

Utilizing both qualitative analysis and quantitative analysis techniques

Working in e- Commerce / Commerce industry

Advanced SQL experience

and Excel and Data Visualization (Tableau and Power BI)