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Demand Generation Data Analyst

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

  • Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 
  • Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 
  • Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 
  • Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 
  • Better together: We check our egos at the door. We work together, so we win together. 

Job Description

Are you passionate about transforming data into insights that drive strategic decisions? If you thrive on diving into data, uncovering hidden trends, transforming data into useful information, and making impactful recommendations, this could be the perfect role. You'll leverage your analytics, data science, and modern AI tools to optimize funnel performance and drive revenue growth for PG Forsta. 

Responsibilities include:

  • 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. 

To work #bettertogether, we operate with a hybrid working model. For those based near one of our hub locations in Chicago, South Bend or Boston, we gather in our office locations three days a week (Tuesday, Wednesday, Thursday). For the remaining days, we work from home.

Qualifications

  • 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.   

Additional Information

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. 

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 

The expected base salary for this position ranges from $75,000 to $115,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/ 

#LI-Remote

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What You Should Know About Demand Generation Data Analyst, Press Ganey

Are you ready to make an impact as a Demand Generation Data Analyst at PG Forsta in beautiful Boston, MA? In this role, you’ll dive into data to uncover insights that drive strategic decisions, leveraging your analytical expertise and modern AI tools to optimize funnel performance and accelerate revenue growth. Your journey will start by collaborating with our dynamic growth teams to analyze historical data and trends, ensuring everything aligns with our business objectives. You’ll lead complex projects, from managing target lists to predictive scoring, tackling unstructured problems with innovative solutions. With your analytical prowess, you’ll utilize advanced techniques, such as predictive modeling and machine learning, to identify actionable growth opportunities. As a critical communicator, you’ll prepare compelling reports and presentations to share marketing insights with stakeholders. Plus, the hybrid working model means you’ll enjoy the flexibility of remote work while still connecting with your team in the office three times a week. If you’re passionate about turning data into decisions and want to grow alongside a company dedicated to enhancing human experiences, we’d love to have you on board as part of the PG Forsta family!

Frequently Asked Questions (FAQs) for Demand Generation Data Analyst Role at Press Ganey
What are the key responsibilities of a Demand Generation Data Analyst at PG Forsta?

As a Demand Generation Data Analyst at PG Forsta, your key responsibilities will include analyzing historical data and trends to support strategic growth initiatives. You’ll work closely with the sales and marketing teams to provide insights on data usage for enhancing growth performance, manage complex data analytics projects, and implement advanced analytical techniques to uncover growth opportunities. Additionally, you’ll design dashboards that offer real-time visibility into key metrics while preparing reports to communicate insights effectively.

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What qualifications do I need to apply for the Demand Generation Data Analyst position at PG Forsta?

To apply for the Demand Generation Data Analyst position at PG Forsta, you should ideally have 2-3 years of experience in analytics or data science, combined with expertise in handling large datasets across multiple systems. Proficiency in Excel, data visualization tools, and programming languages related to data manipulation is essential. Moreover, a strong understanding of sales metrics and the ability to communicate insights to both technical and non-technical stakeholders will set you apart.

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What tools do Demand Generation Data Analysts at PG Forsta use for data analysis?

Demand Generation Data Analysts at PG Forsta utilize a variety of tools for data analysis, including advanced Excel functions and data visualization tools. Experience with programming languages for data extraction and reporting is crucial, as well as familiarity with analytic techniques such as predictive modeling and machine learning. Tools like Salesforce for sales campaign reporting may also be used to help create insightful analyses.

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What type of work environment can I expect as a Demand Generation Data Analyst at PG Forsta?

At PG Forsta, as a Demand Generation Data Analyst, you can expect a collaborative and innovative work environment that emphasizes continuous learning. The company promotes a hybrid working model, allowing employees to work from home for part of the week while coming together in the office three days a week. This setup fosters teamwork and creativity, aligning with PG Forsta's values of 'better together' and 'dare to innovate'.

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What is the salary range for a Demand Generation Data Analyst at PG Forsta?

The expected base salary for a Demand Generation Data Analyst at PG Forsta ranges from $75,000 to $115,000, depending on various factors including experience, skills, and education. Additionally, successful candidates may be eligible for a discretionary bonus or commission based on performance. Salary offers typically consider market and organizational factors, ensuring competitive compensation for your vital contributions.

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Common Interview Questions for Demand Generation Data Analyst
Can you describe your experience with data visualization tools as a Demand Generation Data Analyst?

In response to a question about your experience with data visualization tools, provide specific examples of the tools you’ve used, such as Tableau or Power BI. Describe projects where visualizations helped stakeholders understand data insights better, leading to informed decisions. Highlight your ability to convey complex information in a straightforward manner, emphasizing your communication skills.

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How do you approach analyzing large datasets to find trends for demand generation?

When asked about analyzing large datasets for trends, discuss your systematic methodology, including data cleaning, exploratory data analysis, and the use of statistical techniques. Mention your familiarity with tools and programming languages used to process and analyze the data. Providing an example of a project where you identified valuable trends that positively impacted demand generation efforts will strengthen your answer.

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What advanced analytical techniques are you familiar with for demand generation?

In answering this question, discuss advanced analytical techniques you have experience with, such as predictive modeling, causal inference, or machine learning. Explain how you applied these techniques in previous roles, what insights they uncovered, and how they influenced demand generation strategies. Illustrating your technical skills with real-life applications can make your response stand out.

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How do you ensure data accuracy and quality in your analyses?

When discussing data accuracy and quality, emphasize the proactive measures you take, such as implementing data governance practices and regularly auditing datasets. Explain your approach to identifying potential data quality issues and how you remediate them. Providing specific examples of how your attention to data quality has led to improved insights will showcase your diligence and thoroughness.

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Describe a challenging data analysis project you have worked on.

Share a specific challenging data analysis project that required you to think critically and creatively. Detail the project goals, your analytical approach, the tools used, and the outcome. Highlighting your problem-solving skills and the value of your contributions will demonstrate your capabilities effectively.

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What role do sales metrics play in your analysis as a Demand Generation Data Analyst?

Discuss how sales metrics are crucial for measuring the effectiveness of demand generation efforts. Explain the specific metrics you track, such as conversion rates or lead quality, and why they are essential for evaluating performance. Providing examples of how your analysis of these metrics led to strategic recommendations will underscore your analytical thinking.

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Can you explain how you communicate data insights to non-technical stakeholders?

When addressing communication with non-technical stakeholders, emphasize your strategy of simplifying complex data insights. Discuss how you tailor your presentations or reports to focus on the key messages that matter to your audience. Using visual aids or simple language can help convey your insights more effectively, demonstrating your ability to bridge the gap between technical analysis and business strategy.

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How do you stay current with trends in analytics and demand generation?

In response to this question, express your commitment to continuous learning by highlighting the resources you utilize to stay updated with industry trends. This could include attending relevant webinars, participating in online courses, or following analytics thought leaders. Demonstrating your proactive approach to professional development will show your dedication to excelling in your role.

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Describe a time you used data insights to influence a business decision.

Provide a detailed example of a time you utilized data insights to shape a business decision. Explain how you collected the data, the analysis process, and the final recommendations made. Highlight the impact your insights had on the decision-making process and the overall business outcome, showcasing your value as a Demand Generation Data Analyst.

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What strategies do you employ to improve funnel performance?

When discussing strategies for improving funnel performance, mention specific tactics you've applied, such as A/B testing, analyzing customer behavior, or optimizing touchpoints along the sales journey. Providing examples of successful enhancements that led to increased conversions or revenue will illustrate your expertise in driving growth through targeted analysis.

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Full-time, hybrid
DATE POSTED
December 2, 2024

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