India Job Openings
Dentsu
Senior Analyst
FULL TIME
September 6, 2024
- Engage directly with the client to understand marketing objectives
- Develop custom performance reporting and analyses across multiple channels (Search, Display, Social, Email etc.)
- Architect solutions & provide recommendations that drive results on client campaigns & objectives
- Collaborate closely with other teams to formulate industry-best-practice analytic solutions and directly contribute to a variety of validation activities such as model design, execution and assessment; data review; and campaign/marketing performance evaluation.
- Responsible for assisting in defining a comprehensive measurement framework, developing effective reporting and dashboards with an objective to evaluate marketing performance and provide recommendations for enhancement.
- Manage the day-to-day core insights/trends of our digital marketing programs to help guide optimization efforts.
- Work with various internal and external stakeholders to develop project plan, manage the day-to-day tasks and meet project deadlines.
- Strong SQL skills required ; Python experience
- Experience with Tableau/Power BI/Looker Studio preferred
- Discover hidden insights or patterns through advanced data mining techniques on un-structured business problem
- Ability to complete advanced analytic tasks (including modeling, segmentation) and create meaningful analytical outputs - Ability to identify areas for statistical innovation or process improvement develop approaches or processes/codes to 1) improve client business results, 2) improve efficiencies, 3) reduce potential errors
- 2+ years of experience in quantitative marketing arena, in database and digital (addressable) marketing, including strong understanding of relational database concepts and direct marketing concepts
- Possess core analytical competencies such as ability to formulate an analytical problem; QC data and results; Summarize key findings/insights; Make actionable recommendations; and develop new analytical solutions to solve challenging business problems
- 2+ years of experience applying statistical techniques such as regression, cluster analysis, factor analysis, time series forecasting, experimental and design to solve business problems
- Contribute to innovation, process improvement, standardization
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