Senior Analyst, Customer Analytics

dentsu Austria

Senior Analyst delivering insights for data-driven marketing strategies at Dentsu. Analyzing customer behavior and developing actionable recommendations using advanced analytical techniques.

Posted 5/1/2026full-timeMaryland • Maryland • 🇺🇸 United StatesSenior💰 $78,000 - $93,000 per yearWebsite

Tech Stack

Tools & technologies

PySparkPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

Bachelor's degree or a master's degree or foreign equivalent in Statistics, Math, Economics, or related quantitative field
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

Benefits

Comp & perks

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
Paid parental leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRSQLPysparkAdvanced Excelmulti-variate statisticslogistic regressionmultiple regressionXG BoostMachine Learning

Soft Skills

data storytellingpresentation skillsstrategic thinkinganalytical thinkingcommunication