Job Title

This is an exciting role and would entail you to Requirement gathering and evaluation of clients’ business situations in order to implement appropriate analytic solutions. Designs, generates and manages reporting frameworks that provide insight as to the performance of clients’ marketing activities across multiple channels. Be the single point of contact on anything data & analytics related to the project. QA process: Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any and troubleshoot issues. Prioritize tasks and proactively manage workload to ensure timely delivery with high accuracy. Active contribution to project planning and scheduling. Create and maintain project specific documents such as process / quality / learning documents. Should be able to drive conversation with team, client and business stake holdersResponsibilities: 6-9 years' experience in data management and analysis in Media or relevant domains with strong problem-solving ability.Strong working knowledge on Media buying, Media reporting media metrics, custom calculations, and metrics co-relations is mandatory.Hands-on experience & strong working knowledge in Advanced Excel and VBA is mandatory.Hands on experience and working on tools like Prisma, DV360, SA360, DCM, and social platforms are mandatory skills to have.Good Communication and Client handling experience required.Other visualization tools like Tableau and Looker Studio etc., are good to have.Must have basic knowledge in SQL.Data management and reporting using different tools like Alteryx, Datorama, R, Python, etc are good to have.Overseeing analysis, tracking, and reporting of media performance — across paid, earned, owned, and shared channels.Provide weekly, monthly, and campaign-specific performance reports from various advertising platforms.Master data management including Developing and maintaining Taxonomy Structures; Standardization of Master Data; Data Governance & Stewardship; Data Cleansing and Enrichment; Integration Across Systems.Collaboration with cross-functional teams such as Investment, Strategy, Data Engineering, and Marketing Science teams.Ability to identify and help determine key performance indicators for the clients.Strong written and verbal communication skills.Led delivery teams and projects to successful implementations.Familiarity working with large data sets and creating cohesive stories.Able to work and lead successfully with teams, handling multiple projects and meeting timelines.Maintaining positive client and vendor relationships.Presentation skills using MS Power Point or any presentation platforms.