Growth Engineer & Data Analyst
Boston, MA, United States
Full Time Entry-level / Junior USD 75K - 105K
Press Ganey
Healthcare Experience, Press Ganey helps healthcare organizations improve patient experience, safety, and quality. Discover our solutions and services for transforming healthcare.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.
- Build and execute data pipelines built from internal data and external data.
- Manage data infrastructure platforms and the datasets that reside within them for ad-hoc growth focused data projects.
- Construct, execute and manage data validation tests.
- Ensure that the datasets are in the ideal format and stored in the correct system as per their needs.
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+ years of experience in analytics or data science and development or engineering.
- Exposure to reporting on sales campaigns with tools such as SalesForce or Hubspot.
- Strong understanding of sales metrics and KPIs
- 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.
- Highly proficient in using Excel (pivot tables, formula functions) and other tools for data analysis.
- Technical expertise with data models, data mining, and segmentation techniques.
- Hands-on experience with SQL database design.
- Expertise in advanced analytics exploration, with experience managing large datasets across multiple systems.
- 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 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.
- Strong numerical and analytical skills.
- Experience in a B2B SaaS or tech environment.
- Excellent problem-solving and communication skills.
- Ability to collaborate with cross-functional teams and clients to meet project deadlines.
- Bachelor’s Degree preferred; Data engineering certification is a plus.
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 $105,000. 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/
Tags: Causal inference Data analysis Data Analytics Data governance Data Mining Data pipelines Data quality Data visualization Engineering Excel HubSpot KPIs Machine Learning Pipelines Predictive modeling Privacy Salesforce SQL
Perks/benefits: Career development Competitive pay Salary bonus
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