Business Data Analyst

Responsibilities:

Handle the pre-sales process based on the opportunities and goals clients present.
Drive revenue and increase advertiser satisfaction by working cross-functionally with clients, sales, account managers and operations.
Play a key role in building RFPs and RFIs approvals while ensuring timelines and goals are met.
Collaboration with other teams to develop tailored solutions that meet clients' needs using our suite of data, targeting, and product channels.
Work with the product and engineering teams in ideation and development of tools to enhance the existing products and increase capabilities of the team.
Brainstorm on ideas that have the potential to increase revenue for the company and execute it with the team's help.
Projecting client’s potential revenue using sophisticated techniques like Predictive Analytics and Mathematical Modelling
Developing optimal audience targeting strategies which cater to client’s KPI with realtime analysis & benchmarking.
Development of automated in-house cross-team functional tools which increase efficiency by at least 2x and promote precision along with accuracy.
Support Campaign Management team with live optimization support and techniques including segment creation throughout the life cycle of a campaign.

Requirements:

1 year of media experience preferred, but not required.
Idea-driven; creates and improves strategies and processes.
Ability to see the big picture, identify key issues, and provide proactive tactical and strategic recommendations.
Detail-oriented and diligent work ethic with excellent organizational, project/time management, and problem-solving skills.
Communicates efficiently, skillfully and tactfully – written, verbal, and presentations.
Analytical thinker, digests data to make conclusions, recommendations, and troubleshoot.
Ability to excel in a highly dynamic, fast-paced environment that requires fast learning and flexible thinking.

Key Skills:

Proficiency in data analysis tools and techniques, such as SQL.
Excel, data visualization tools, and statistical analysis software.
These skills help business analysts extract insights from large datasets and make data-driven recommendations.