Altria · 1 week ago

Associate Manager, Data Science

United States

Full-time

Remote

Mid Level

$108K/yr - $156K/yr

4+ years exp

Wonder how qualified you are to the job?

ManufacturingTobacco

Comp. & Benefits

Insider Connection @Altria

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Mine and combine multiple data sources to complete descriptive and diagnostic analyses

Leverage big data cloud computing resources to design, test and implement new analytical solutions to measure, predict, and influence business outcomes

Integrate a variety of data sources (e.g., retail point-of-sale, shipments, financial, consumer, geospatial) to proactively evaluate and identify consumer marketing business opportunities

Lead the application of a variety of advanced analytical methods (e.g., machine learning, statistical, econometric) to develop consumer centric insights

Synthesize, translate, and communicate analyses to inform and influence business leaders

Collaborate with brand marketing, in-market and digital activation, and data engineering teams to define, scope, and deliver data-driven solutions against multiple priorities

Help productionize and deploy analytical model solutions, and support their ongoing tracking and maintenance to ensure their efficacy

Qualification

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Data AnalysisSQLPythonApache SparkDatabricksStatistical AnalysisEconomicsProblem-SolvingCommunicationCuriosityConfidence

Required

Bachelor’s degree in Decision Science, Analytics, Economics, Statistics, Computer Science, Applied Mathematics, or related field. Master’s or other graduate level degree a plus

4 - 5+ years of progressively responsible work experience with data and analytics; CPG experience a plus

Ability to independently conduct complex data manipulation, model analyses, and synthesize results

Demonstrated knowledge of SQL and Python programming languages; familiarity with Apache Spark & Databricks preferred

Firm grasp of basic statistical/economic principles and a general understanding of advanced analysis techniques

Excellent written and verbal communication skills with demonstrated ability to communicate abstract technical concepts with non-technical audiences

A sense of urgency and genuine curiosity

The courage and confidence to discuss and debate across all levels of the organization