Lead Analyst, Customer Analytics

dentsu•USA - Remote - Maryland, MD

1d•$68,000 - $112,000•Remote

About The Position

The purpose of this role is data analysis/guided deliverable development in support of assessment/strategic deliverables. This role requires strong analytical and communication skills to translate complex data insights into actionable recommendations for clients. The Lead Analyst will be responsible for executing advanced analytic tasks, including modeling and segmentation, and contributing to innovation and process improvement within the team.

Requirements

Very strong Excel skills required (VBA not necessary).
At least 1-2 years of experience with Snowflake SQL, Python, Pyspark.
Strong presentation skills required (PowerPoint).
Excellent written and oral communication skills.
SQL, Advance Excel, multi-variate statistics, logistic regression, and multiple regression.
At least 1-2 years of experience and proficiency in Data Visualization Tools like Tableau or Power BI required.
Familiarity with Databricks.
Experience in Marketing Analytics with at least 1-2 years of experience with Marketing Campaign performance evaluation, determining and tracking key KPIs like incremental lift, cost per product etc. to determine campaign ROI.
Ability to execute advanced analytic tasks (including but not limited to modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs.
Experience in quantitative marketing arena, marketing campaign measurement/evaluation, in database and/or digital (addressable) marketing.
Possess core analytical competencies such as ability to formulate an analytical problem; QC data and results; Summarize key findings/insights; Tell an effective story using the data and make actionable recommendations; develop new and innovative analytical solutions to solve challenging business problems.
Possess client/team engagement competencies such as gather specifications, develop analytical roadmap and approach and manage expectations, and coordinate delivery with internal team.
Develop project plan; manage the day-to-day tasks; and meet project deadlines.

Nice To Haves

Advanced degree (M.A., M.S., Ph.D.) preferred.

Responsibilities

Data analysis and guided deliverable development in support of assessment/strategic deliverables.
Discover hidden insights or complex patterns through advanced multi-variate data mining techniques on un-structured business problems and tell a story from the data.
Translate analysis insights into actionable recommendations and strategies for clients.
Build XG Boost or Machine Learning models to segment customer population and well acquainted with modeling techniques.
Explain advanced analytical methodology and present results to non-technical audiences.
Execute advanced analytic tasks (including but not limited to modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs.
Identify areas for statistical innovation or process improvement, do independent research, develop innovative approaches or processes/codes to improve client business results, improve efficiencies, and reduce potential errors.
Determine quantitative methods for solving client issues.
Gather specifications, develop analytical roadmap and approach and manage expectations.
Coordinate delivery with internal team.
Develop project plan; manage the day-to-day tasks; and meet project deadlines.
Work effectively across teams to ensure client satisfaction.
Contribute to innovation, process improvement, standardization.
Deliver high quality analytical solutions on-time.