PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries.
The company has earned its status through deep partnership with clients, helping them understand and meet the needs of their key stakeholders.
Initially rooted in U.S. healthcare, PG Forsta now serves clients globally across various industries to improve Human Experiences at the heart of their business.
The company combines technology, data, and expertise to drive innovation and action, helping clients accelerate improvement efforts and build lifetime loyalty.
PG Forsta values a collaborative work ethic, world-class talent, and a passion for work.
Employees are encouraged to contribute to work and provide input in shaping the company’s processes and success.
The company focuses on learning, improvement, and team efforts to chart the course for corporate success.
PG Forsta’s mission is to empower organizations to deliver the best experiences through technology and data.
The company’s values include putting Human Experience at the heart of organizations, energizing customer relationships, personal ownership, commitment to learning, innovation, and teamwork.

Support strategic growth efforts by analyzing historical data and trends, ensuring alignment with business objectives through collaboration with the growth teams.
Work closely with the growth team to address key strategic questions and provide insights on data usage to improve growth performance.
Lead and manage complex data analytics projects, including target list management, predictive scoring, opportunity influence, and more.
Use advanced analytical techniques (e.g., predictive modeling, causal inference, machine learning, AI) to uncover hidden patterns and growth opportunities.
Proactively identify and address data quality issues, implementing data governance practices to ensure accuracy.
Design and maintain dashboards and other methods to provide real-time visibility into key metrics and improve internal workflows.
Prepare reports and presentations to communicate marketing insights to management and other stakeholders.
Stay up to date with trends in growth strategies and AI.
Build and execute data pipelines from internal and external data.
Manage data infrastructure platforms and datasets for ad-hoc growth-focused projects.
Construct, execute, and manage data validation tests.
Ensure datasets are in the ideal format and stored in the correct system.

2+ years of experience in analytics, data science, 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 to extract, amend, and output data.
Skilled in data visualization tools.
Highly proficient in Excel (pivot tables, formula functions) and other data analysis tools.
Technical expertise in data models, data mining, and segmentation techniques.
Hands-on experience with SQL database design.
Expertise in advanced analytics exploration and managing large datasets.
Proactive in identifying and solving unstructured and complex problems.
Independent self-starter, capable of taking ownership of projects.
Strong writing and presentation skills to communicate insights to both technical and non-technical stakeholders.
Experience in a B2B SaaS or tech environment is preferred.
Strong 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.

Competitive compensation and equity packages.
Leading configured work computers of your choice.
Flexible paid time off.
Fully covered, high-quality healthcare including dependent coverage.
Additional health coverage includes access to One Medical and option to enroll in an FSA.
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents.
Flexibility for remote work with an appreciation for asynchronous work.
Access to industry-leading technology across all business units.

Growth Engineer & Data Analyst Full Time

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