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Dentsu
is hiring
Senior Data Analyst, Customer Analytics
About Our Company
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.
Job Description & Responsibilities
Job Description:
Work on and contribute to a variety of validation activities such as model design, execution, assessment, data review and campaign/marketing performance evaluation.
Utilize statistical and digital analytics tools including Python, R, SQL, Tableau, Micro strategy, Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis.
Conduct time-series forecasting to drive and execute data analysis and manage timely delivery of marketing data/reporting and analytics insights in support of marketing campaigns
Conduct quantitative marketing analyses of marketing effectiveness and build XG Boost or Machine Learning models to segment customer population
Generate and manipulate digital data using systems and processes including media type web, ad, email, and mobile
Develop, write, and present a variety of strategic marketing analytics recommendations and projects including customer profiling, lifecycle analysis, campaign test design, dashboard reporting, and customer segmentation.
Use the findings in the data to tell a story with actionable recommendations for the client
Develop Tableau Or Looker dashboards by identifying key KPIs
Develop simple PowerPoint presentations with key findings.
Requirements
Skills/Education Required:
Bachelor's degree or a master's degree or foreign equivalent in Statistics, Math, Economics, or related quantitative field, and at least 1-2 years of experience as an analyst/Sr. Analyst or related occupation.
At least 1-2 years of experience with R, Python, Pyspark, SQL, Advance Excel, multi-variate statistics, logistic regression, and multiple regression
Proficiency in Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis.
Experience in XG Boost Modeling techniques, Machine Learning Models and experience in model building is a must.
Proficiency in developing simple PowerPoint presentations to tell the story from data
At least 1-2 years of developing, testing, and evaluating marketing analytics tools
At least 1-2 of developing reporting and dashboards to evaluate marketing performance and provide recommendations for enhancement
At least 1 year of experience and proficiency in Data Visualization Tools like Tableau, Looker Studio and Power BI
At least 1-2 years of experience using multi-variate data mining techniques on unstructured business problem
Experience in Marketing Analytics is preferred
What we offer
The annual salary range for this position is $78,000-$93,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
