Senior Analyst, Continuous Improvement
Instacart
Senior Analyst, Continuous Improvement
Job Description
Responsibilities
- Lead continuous improvement opportunities end-to-end - Identify improvement and automation opportunities, document current state, quantify the opportunity, build stakeholder support, implement the change, and monitor and communicate the impact
- Own data analysis and visualization as it relates to areas of customer experience; operational costs, efficiency, contact quality, and customer satisfaction
- Identify potential root causes contributing to change(s) in customer experience metrics
- Provide analytical insights into opportunities that can be leveraged for growth and operational efficiency gains
- Identify process automation and improvement opportunities and work with cross-functional teams (i.e., Product, Engineering, Business Development, Customer Experience) to implement initiatives
- Regularly communicate associated outcomes and insights to various stakeholders at all levels, including senior management to help guide strategic decisions
- Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key stakeholders to help guide decisions around process, policy, and systems
- Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics
- Create automated reporting to ensure operations leaders are informed of variations and opportunities across various cohorts
- Regularly collaborate with other analysts, subject matter experts, and decision-makers to develop data-driven policies and models to improve the overall customer experience
Required Qualifications
- 5 to 7 years in a data analytics role (e.g. analysis, business intelligence, consulting)
- Advanced proficiency in SQL with the ability to write complex and performant queries on our Snowflake cluster
- Experience with analytical visualization tools such as Mode, Tableau, Looker, or similar tools
- Understanding of A/B testing and other forms of statistical analysis using programming languages such as R or Python
- Passion for continuous improvement - strategic mindset, highly curious, keen sense of ownership, creative problem solving, strong critical thinking skills
- Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences
- Excellent teamwork skills - Desire to help others and collaborate with cross-functional teams
- Proven ability to work independently and juggle multiple priorities, pivot on short notice, and create a sense of urgency—thriving as a driven self-starter in fast-paced, dynamic, and sometimes ambiguous environments.
- Demonstrated ability to influence and drive results by independently delivering complex analyses, developing compelling business cases, and confidently proposing new ideas that challenge the status quo and secure stakeholder support.
- Experience with Lean or Six Sigma
- Bachelor’s degree or equivalent
Preferred Qualifications
- Experience at a fast-paced, high-growth technology company
- Experience in a customer support organization
- Experience with data modeling, ETL and data pipeline development
- Experience using AI tools to optimize processes
- Advanced knowledge of experimentation and statistical methods
- Advanced degree in statistics, math, economics, engineering, computer science, or other quantitative field
Required Skills
- SQL
- Snowflake
- analytical visualization tools (Mode, Tableau, Looker)
- A/B testing
- statistical analysis
- R
- Python
- Lean
- Six Sigma
- data analysis
- data visualization
- verbal and written communication
- teamwork
- critical thinking
- problem solving
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$96000 - $107000 CAD
Locations
- United States, United States (Remote)
Salary
96,000 - 107,000 CAD / yearly
Skills Required
- SQLintermediate
- Snowflakeintermediate
- analytical visualization tools (Mode, Tableau, Looker)intermediate
- A/B testingintermediate
- statistical analysisintermediate
- Rintermediate
- Pythonintermediate
- Leanintermediate
- Six Sigmaintermediate
- data analysisintermediate
- data visualizationintermediate
- verbal and written communicationintermediate
- teamworkintermediate
- critical thinkingintermediate
- problem solvingintermediate
Required Qualifications
- 5 to 7 years in a data analytics role (e.g. analysis, business intelligence, consulting) (experience)
- Advanced proficiency in SQL with the ability to write complex and performant queries on our Snowflake cluster (experience)
- Experience with analytical visualization tools such as Mode, Tableau, Looker, or similar tools (experience)
- Understanding of A/B testing and other forms of statistical analysis using programming languages such as R or Python (experience)
- Passion for continuous improvement - strategic mindset, highly curious, keen sense of ownership, creative problem solving, strong critical thinking skills (experience)
- Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences (experience)
- Excellent teamwork skills - Desire to help others and collaborate with cross-functional teams (experience)
- Proven ability to work independently and juggle multiple priorities, pivot on short notice, and create a sense of urgency—thriving as a driven self-starter in fast-paced, dynamic, and sometimes ambiguous environments. (experience)
- Demonstrated ability to influence and drive results by independently delivering complex analyses, developing compelling business cases, and confidently proposing new ideas that challenge the status quo and secure stakeholder support. (experience)
- Experience with Lean or Six Sigma (experience)
- Bachelor’s degree or equivalent (experience)
Preferred Qualifications
- Experience at a fast-paced, high-growth technology company (experience)
- Experience in a customer support organization (experience)
- Experience with data modeling, ETL and data pipeline development (experience)
- Experience using AI tools to optimize processes (experience)
- Advanced knowledge of experimentation and statistical methods (experience)
- Advanced degree in statistics, math, economics, engineering, computer science, or other quantitative field (experience)
Responsibilities
- Lead continuous improvement opportunities end-to-end - Identify improvement and automation opportunities, document current state, quantify the opportunity, build stakeholder support, implement the change, and monitor and communicate the impact
- Own data analysis and visualization as it relates to areas of customer experience; operational costs, efficiency, contact quality, and customer satisfaction
- Identify potential root causes contributing to change(s) in customer experience metrics
- Provide analytical insights into opportunities that can be leveraged for growth and operational efficiency gains
- Identify process automation and improvement opportunities and work with cross-functional teams (i.e., Product, Engineering, Business Development, Customer Experience) to implement initiatives
- Regularly communicate associated outcomes and insights to various stakeholders at all levels, including senior management to help guide strategic decisions
- Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key stakeholders to help guide decisions around process, policy, and systems
- Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics
- Create automated reporting to ensure operations leaders are informed of variations and opportunities across various cohorts
- Regularly collaborate with other analysts, subject matter experts, and decision-makers to develop data-driven policies and models to improve the overall customer experience
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories
Senior Analyst, Continuous Improvement
Instacart
Senior Analyst, Continuous Improvement
Job Description
Responsibilities
- Lead continuous improvement opportunities end-to-end - Identify improvement and automation opportunities, document current state, quantify the opportunity, build stakeholder support, implement the change, and monitor and communicate the impact
- Own data analysis and visualization as it relates to areas of customer experience; operational costs, efficiency, contact quality, and customer satisfaction
- Identify potential root causes contributing to change(s) in customer experience metrics
- Provide analytical insights into opportunities that can be leveraged for growth and operational efficiency gains
- Identify process automation and improvement opportunities and work with cross-functional teams (i.e., Product, Engineering, Business Development, Customer Experience) to implement initiatives
- Regularly communicate associated outcomes and insights to various stakeholders at all levels, including senior management to help guide strategic decisions
- Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key stakeholders to help guide decisions around process, policy, and systems
- Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics
- Create automated reporting to ensure operations leaders are informed of variations and opportunities across various cohorts
- Regularly collaborate with other analysts, subject matter experts, and decision-makers to develop data-driven policies and models to improve the overall customer experience
Required Qualifications
- 5 to 7 years in a data analytics role (e.g. analysis, business intelligence, consulting)
- Advanced proficiency in SQL with the ability to write complex and performant queries on our Snowflake cluster
- Experience with analytical visualization tools such as Mode, Tableau, Looker, or similar tools
- Understanding of A/B testing and other forms of statistical analysis using programming languages such as R or Python
- Passion for continuous improvement - strategic mindset, highly curious, keen sense of ownership, creative problem solving, strong critical thinking skills
- Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences
- Excellent teamwork skills - Desire to help others and collaborate with cross-functional teams
- Proven ability to work independently and juggle multiple priorities, pivot on short notice, and create a sense of urgency—thriving as a driven self-starter in fast-paced, dynamic, and sometimes ambiguous environments.
- Demonstrated ability to influence and drive results by independently delivering complex analyses, developing compelling business cases, and confidently proposing new ideas that challenge the status quo and secure stakeholder support.
- Experience with Lean or Six Sigma
- Bachelor’s degree or equivalent
Preferred Qualifications
- Experience at a fast-paced, high-growth technology company
- Experience in a customer support organization
- Experience with data modeling, ETL and data pipeline development
- Experience using AI tools to optimize processes
- Advanced knowledge of experimentation and statistical methods
- Advanced degree in statistics, math, economics, engineering, computer science, or other quantitative field
Required Skills
- SQL
- Snowflake
- analytical visualization tools (Mode, Tableau, Looker)
- A/B testing
- statistical analysis
- R
- Python
- Lean
- Six Sigma
- data analysis
- data visualization
- verbal and written communication
- teamwork
- critical thinking
- problem solving
Benefits
- highly market-competitive compensation
- new hire equity grant as well as annual refresh grants
Salary Range
$96000 - $107000 CAD
Locations
- United States, United States (Remote)
Salary
96,000 - 107,000 CAD / yearly
Skills Required
- SQLintermediate
- Snowflakeintermediate
- analytical visualization tools (Mode, Tableau, Looker)intermediate
- A/B testingintermediate
- statistical analysisintermediate
- Rintermediate
- Pythonintermediate
- Leanintermediate
- Six Sigmaintermediate
- data analysisintermediate
- data visualizationintermediate
- verbal and written communicationintermediate
- teamworkintermediate
- critical thinkingintermediate
- problem solvingintermediate
Required Qualifications
- 5 to 7 years in a data analytics role (e.g. analysis, business intelligence, consulting) (experience)
- Advanced proficiency in SQL with the ability to write complex and performant queries on our Snowflake cluster (experience)
- Experience with analytical visualization tools such as Mode, Tableau, Looker, or similar tools (experience)
- Understanding of A/B testing and other forms of statistical analysis using programming languages such as R or Python (experience)
- Passion for continuous improvement - strategic mindset, highly curious, keen sense of ownership, creative problem solving, strong critical thinking skills (experience)
- Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences (experience)
- Excellent teamwork skills - Desire to help others and collaborate with cross-functional teams (experience)
- Proven ability to work independently and juggle multiple priorities, pivot on short notice, and create a sense of urgency—thriving as a driven self-starter in fast-paced, dynamic, and sometimes ambiguous environments. (experience)
- Demonstrated ability to influence and drive results by independently delivering complex analyses, developing compelling business cases, and confidently proposing new ideas that challenge the status quo and secure stakeholder support. (experience)
- Experience with Lean or Six Sigma (experience)
- Bachelor’s degree or equivalent (experience)
Preferred Qualifications
- Experience at a fast-paced, high-growth technology company (experience)
- Experience in a customer support organization (experience)
- Experience with data modeling, ETL and data pipeline development (experience)
- Experience using AI tools to optimize processes (experience)
- Advanced knowledge of experimentation and statistical methods (experience)
- Advanced degree in statistics, math, economics, engineering, computer science, or other quantitative field (experience)
Responsibilities
- Lead continuous improvement opportunities end-to-end - Identify improvement and automation opportunities, document current state, quantify the opportunity, build stakeholder support, implement the change, and monitor and communicate the impact
- Own data analysis and visualization as it relates to areas of customer experience; operational costs, efficiency, contact quality, and customer satisfaction
- Identify potential root causes contributing to change(s) in customer experience metrics
- Provide analytical insights into opportunities that can be leveraged for growth and operational efficiency gains
- Identify process automation and improvement opportunities and work with cross-functional teams (i.e., Product, Engineering, Business Development, Customer Experience) to implement initiatives
- Regularly communicate associated outcomes and insights to various stakeholders at all levels, including senior management to help guide strategic decisions
- Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key stakeholders to help guide decisions around process, policy, and systems
- Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics
- Create automated reporting to ensure operations leaders are informed of variations and opportunities across various cohorts
- Regularly collaborate with other analysts, subject matter experts, and decision-makers to develop data-driven policies and models to improve the overall customer experience
Benefits
- general: highly market-competitive compensation
- general: new hire equity grant as well as annual refresh grants
Tags & Categories