Press Ganey · 2 weeks ago

Demand Generation Data Analyst

Boston, MA

Full-time

Hybrid

Entry, Mid Level

$75K/yr - $115K/yr

2+ years exp

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Responsibilities

Support strategic growth efforts by analyzing historical data and trends, ensuring alignment with business objectives by working with our growth teams across sales and marketing.

Work closely with the growth team to address key strategic questions and provide insights on how data can be utilized and manipulated to improve growth performance.

Lead and manage complex data analytics projects, including target list management, predictive scoring, opportunity influence, and more.

Leverage advanced analytical techniques (e.g. predictive modeling, causal inference, machine learning, AI) to uncover hidden patterns, identify growth opportunities, and guide strategic decision-making.

Proactively identify and address data quality issues, implementing data governance practices to ensure data accuracy and reliability.

Design and maintain dashboards, or other informative methods, to provide real-time visibility into key metrics and information that improve the workflows of internal teams.

Prepare reports and presentations to communicate marketing insights to management and other stakeholders.

Stay up to date on the latest trends in growth strategies and AI.

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 analyticsData sciencePredictive modelingMachine learningData visualization toolsSales metrics understandingExcel proficiencySalesForceB2B SaaS experience

Required

2-3 years of experience in analytics, or data science.

Expertise in advanced analytics exploration, with experience managing large datasets across multiple systems.

Highly proficient in using Excel (pivot tables, formula functions) and other tools for data analysis.

Proficient in programming languages that can be utilized to extract, amend, and output data with a focus on how the end user will utilize the data. Examples can be dashboards, PDF reports, emails, etc.

Proficient in data visualization tools.

Exposure to reporting on sales campaigns with tools such as SalesForce.

Proactive in identifying and developing innovative solutions for unstructured and complex problems.

Independent self-starter, capable of taking ownership of projects and driving them to completion.

Strong understanding of sales metrics and KPIs.

Strong writing and presentation skills, plus the ability to articulate data insights to cross functional and nontechnical audiences.

Ability to communicate data insights clearly and effectively to both technical and non-technical stakeholders.

Experience in a B2B SaaS or tech environment.