Data & Operations Analyst
About the position
About the team: The Global Retention Programs team at Gartner is seeking a talented operations analyst to join our team. The Global Retention Programs team are experts in ensuring that Gartner’s largest clients retain and grow their business with the company. The team acts as internal consultants to Sales and Service leaders, and also plays a critical role in providing Gartner’s Operating Committee with regular recommendations, insights and opportunities to shape the company’s retention and growth strategy. What you'll do: Creatively solve open-ended operational problems across all phases of the project lifecycle: understanding business challenges, proposing and architecting technical solutions, data wrangling & cleaning, exploratory data analysis, feature engineering, model selection and development, model validation, and model operationalization Develop actionable insights that influence delivery of exceptional client service by integrating observations about client needs and internal processes and capabilities. Present insights and recommendations to cross-functional partners. Leverage Python and SQL as well as Excel expertise to support the business in analyzing problems; leverage techniques from machine learning/AI, natural language processing, and statistical modeling to solve challenging business problems. Effectively communicate complex technical solutions and analytical results to both technical and non-technical stakeholders, ensuring alignment and understanding. Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver solutions that have a measurable business impact.
Responsibilities
• Creatively solve open-ended operational problems across all phases of the project lifecycle: understanding business challenges, proposing and architecting technical solutions, data wrangling & cleaning, exploratory data analysis, feature engineering, model selection and development, model validation, and model operationalization
• Develop actionable insights that influence delivery of exceptional client service by integrating observations about client needs and internal processes and capabilities.
• Present insights and recommendations to cross-functional partners.
• Leverage Python and SQL as well as Excel expertise to support the business in analyzing problems; leverage techniques from machine learning/AI, natural language processing, and statistical modeling to solve challenging business problems.
• Effectively communicate complex technical solutions and analytical results to both technical and non-technical stakeholders, ensuring alignment and understanding.
• Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver solutions that have a measurable business impact.
Requirements
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field and 4-5 years of data analysis experience; or Master’s degree and 2-3 years experience.
• Proficiency in Python (including core data manipulation libraries – Pandas/Polars, NumPy, etc.) and SQL; working knowledge of Excel.
• Experience working with AI tools and APIs to enhance data workflows.
• Demonstrated ability to write and maintain production-quality code for data cleaning, transformation, and analysis.
• Practical understanding of statistical principles and their applications; practical experience with core statistical modelling/ML methods.
• Ability to thrive in a fast-paced environment, managing multiple priorities and delivering high-quality results within established timelines
• Exceptional communication skills, with the ability to convey complex technical concepts to diverse audiences and influence key stakeholders and leaders across the organization
Benefits
• Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
• In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
• Gartner believes in fair and equitable pay.
• In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
• We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
Apply tot his job
Apply To this Job
About the team: The Global Retention Programs team at Gartner is seeking a talented operations analyst to join our team. The Global Retention Programs team are experts in ensuring that Gartner’s largest clients retain and grow their business with the company. The team acts as internal consultants to Sales and Service leaders, and also plays a critical role in providing Gartner’s Operating Committee with regular recommendations, insights and opportunities to shape the company’s retention and growth strategy. What you'll do: Creatively solve open-ended operational problems across all phases of the project lifecycle: understanding business challenges, proposing and architecting technical solutions, data wrangling & cleaning, exploratory data analysis, feature engineering, model selection and development, model validation, and model operationalization Develop actionable insights that influence delivery of exceptional client service by integrating observations about client needs and internal processes and capabilities. Present insights and recommendations to cross-functional partners. Leverage Python and SQL as well as Excel expertise to support the business in analyzing problems; leverage techniques from machine learning/AI, natural language processing, and statistical modeling to solve challenging business problems. Effectively communicate complex technical solutions and analytical results to both technical and non-technical stakeholders, ensuring alignment and understanding. Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver solutions that have a measurable business impact.
Responsibilities
• Creatively solve open-ended operational problems across all phases of the project lifecycle: understanding business challenges, proposing and architecting technical solutions, data wrangling & cleaning, exploratory data analysis, feature engineering, model selection and development, model validation, and model operationalization
• Develop actionable insights that influence delivery of exceptional client service by integrating observations about client needs and internal processes and capabilities.
• Present insights and recommendations to cross-functional partners.
• Leverage Python and SQL as well as Excel expertise to support the business in analyzing problems; leverage techniques from machine learning/AI, natural language processing, and statistical modeling to solve challenging business problems.
• Effectively communicate complex technical solutions and analytical results to both technical and non-technical stakeholders, ensuring alignment and understanding.
• Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver solutions that have a measurable business impact.
Requirements
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field and 4-5 years of data analysis experience; or Master’s degree and 2-3 years experience.
• Proficiency in Python (including core data manipulation libraries – Pandas/Polars, NumPy, etc.) and SQL; working knowledge of Excel.
• Experience working with AI tools and APIs to enhance data workflows.
• Demonstrated ability to write and maintain production-quality code for data cleaning, transformation, and analysis.
• Practical understanding of statistical principles and their applications; practical experience with core statistical modelling/ML methods.
• Ability to thrive in a fast-paced environment, managing multiple priorities and delivering high-quality results within established timelines
• Exceptional communication skills, with the ability to convey complex technical concepts to diverse audiences and influence key stakeholders and leaders across the organization
Benefits
• Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
• In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
• Gartner believes in fair and equitable pay.
• In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
• We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
Apply tot his job
Apply To this Job