Brainlabs · 3 days ago

Data Analyst

United States

Full-time

Remote

Mid Level

$80K/yr - $100K/yr

3+ years exp

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AdvertisingAnalytics

Insider Connection @Brainlabs

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Responsibilities

Apply expertise in data analysis to uncover actionable insights and maximize media efficiency and client ROI

Define hypotheses and methods to leverage internal data sets for strategy refinement and business impact

Build cross-functional relationships, identify opportunities, and optimize media strategy for clients

Train and coach team members

Qualification

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Media AnalysisAttributionMedia PlanningEconometricsMarketing StrategyAdvanced Analytic MethodologiesKPI TrendsConsumer Behavior PredictionSales ConversionMedia Mix OptimizationBusiness Outcome ForecastingAdvanced AnalyticsCampaign Life CycleConsumer Decision JourneyData InterpretationQuantitative AnalysisQualitative AnalysisProcess ManagementProject ManagementVendor ManagementApplied StatisticsBayesian ModelingCentral Limit TheoremBudget Elasticity of DemandProbability TheoryDescriptive StatisticsInferential StatisticsSQLPython ProgrammingProblem-Solving

Required

Bachelor's in Statistics, Applied Mathematics, Economics or another quantitative field

3 years' experience in analytics, with a leaning towards media analysis (effectiveness and efficiency) – with experience in attribution, media planning and econometrics.

Produces easy-to-understand, error-free, and timely deliverables that leverage category and client specific data along with media performance data to modify and refine marketing strategy while addressing client business objectives

Supports the leveraging of advanced analytic methodologies to drive marketing and financial performance, isolates key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive media mix optimization and forecast critical business outcomes

Designs, executes and delivers advanced analytics that enable our teams and clients to make more intelligent decisions across the campaign life cycle and consumer decision journey to drive relevance, scale & performance – influencing, designing and developing the output of our tool suite

Connects the dots and finds the story behind the numbers (i.e. goes beyond reporting, peels away the layers of data), gleans insights and articulates meaning and implications to business outcomes.

Collaborates closely with client teams to guide integrated cross-channel storytelling, data interpretation, insight generation and analytics program evolution

Proven understanding of quantitative and qualitative analysis, and track record of using data to support recommendations, prove out hypotheses and measure the success of such actions

Strong process, project and vendor management skills with successful experience partnering with cross-functional teams

High degree of comfort with advanced applied statistics, including bayesian modeling, central limit theorem, budget elasticity of demand, probability theory and descriptive & inferential statistics

Mastery of both SQL as well as Python programming languages