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Company

Original Job Post

HP · 2 days ago

Performance Marketing Manager

Sacramento, CA

Full-time

Hybrid

Mid Level

$95K/yr - $105K/yr

3+ years exp

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ComputerConsumer Electronics

H1B Sponsorship

Culture & Values

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Responsibilities

Lead and scale performance for marketing campaigns and programs, from low-touch to ultra-high-touch.

Align efforts with category teams, local teams, sales, and partners for connected marketing.

Support local markets in demand generation using global tools and transitioning to Eloqua.

Develop and pioneer demand generation strategy and plan for Project Sequoia with Sales and Google, aiding local markets.

Collaborate with stakeholders to identify and leverage data-driven opportunities for business solutions.

Determine data requirements to facilitate timely and efficient analytics studies.

Perform data-driven analysis using syndicated, primary, and secondary customer data sources.

Provide operational expertise to promote data-based strategic and tactical planning within the marketing and sales teams.

Calculate ROI for marketing campaigns and make informed budget investment decisions based on analysis.

Extract and analyze data from company databases to optimize marketing tactics, campaigns, and strategies.

Evaluate the effectiveness and accuracy of new data sources and data collection techniques.

Develop custom data models and algorithms tailored to specific data sets.

Utilize predictive modeling to enhance customer experiences, revenue generation, ad targeting, and other business outcomes.

Deliver accurate and high-quality solutions to stakeholders through detailed visualizations for informed decision-making.

Create and implement a marketing A/B testing framework to evaluate and improve model quality.

Develop processes and tools for monitoring and analyzing model performance and data accuracy.

Drive innovation by integrating new technologies into organization-wide projects.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data manipulationStatistical modelingStatisticsMathematicsComputer scienceAnalyzing systemsData processingStatistical programmingData extractionData architectureMachine learning techniquesAdvanced statistical methodsProgramming languagesData mining techniquesQuerying databasesMachine learning algorithmsRegressionSimulationScenario analysisModelingClusteringDecision treesNeural networksThird-party data analysisDistributed data toolsMapReduceHadoopHiveSparkGurobi

Required

3-5 years of experience in data manipulation and statistical modeling, holding a degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

Possess a highly analytical mindset with a background in understanding, processing, and analyzing systems, processes, and data.

Proficient in using statistical programming languages (R, Python, SQL, etc.) to manipulate data and extract insights from large datasets.

Experienced in working with and developing data architectures.

Familiar with various machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their practical applications and limitations.

Well-versed in advanced statistical methods and concepts (e.g., regression, distribution properties, statistical tests) and experienced in their practical applications.

Skilled in multiple programming languages, including C, C++, Java, JavaScript, among others.

Knowledgeable in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.

Experienced in querying databases and using statistical programming languages like R, Python, SQL.

Proficient in creating and applying advanced machine learning algorithms and statistical techniques, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks.

Experienced in analyzing data from third-party sources such as Google Analytics, Site Catalyst, Coremetrics, Adwords, Facebook Insights, and Eloqua.

Familiar with distributed data/computing tools like MapReduce, Hadoop, Hive, Spark, Gurobi, and MySQL.

Excellent written and verbal communication skills for effective team collaboration, with proficiency in visualization tools such as Power BI, Microsoft Excel, and PowerPoint.

Highly responsible and methodical, with strong analytical capabilities and a keen willingness to learn.

Preferred

Proven track record of optimizing marketing strategies through data-driven insights and advanced analytics.

Strong background in big data technologies and cloud platforms such as AWS, Google Cloud, or Azure.

Expertise in data visualization and storytelling to convey complex analytical insights to non-technical stakeholders.

Experience in leading cross-functional teams or projects, showcasing leadership and project management skills.

In-depth understanding of digital marketing metrics and KPIs, with hands-on experience in campaign analysis and optimization.

Benefits

Competitive benefits package

Company

HP

Glassdoor

4.1

HP is a manufacturer and seller of personal computers, printers, computer hardwares, and business solutions.

Founded in 1939

Palo Alto, California, USA

10,001+ employees

http://www.hp.com

H1B Sponsorship

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2023 (175)

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2021 (197)

2020 (174)