Senior Data Analyst
About The Role:
The Enjoy Data Analytics team is searching for a Senior Data Analyst who will collaborate with the Revenue and Sales Ops Leadership at Enjoy to find innovative ways to deliver meaningful metrics, trends, key insights, analysis and reporting. You will create clear, concise stories for various stakeholders in the Revenue and Sales and help optimize for Field sales performance, compensation and Revenue growth.You will uncover deep data-driven insights to identify opportunities and risks in revenue and sales. In this role, you will help solve tough and exciting organizational challenges through our team's unique problem solving approach and work with key decision makers to make a real impact on our business while having a lot of fun.
Responsibilities:
You will effectively use data to tell stories, communicate key actionable insights through internal reports, presentations and dashboards to drive business decisions. You will be a consultant that will develop a deep understanding of analytics needs of various functions over time & provide customized data solutions - be it in the form of excel analytics, or dashboards or more advanced analytics. You will align with the leadership team, product managers, business teams and partners to set priorities based on analysis to implement and optimize business processes and solutions. You will support scoping complex data-centric projects across cross functional teams. Build and implement Data Solutions to help drive strategic business decisions leveraging insights. Actively work towards adoption and engagement of data-driven people decisions mindset across the company and educate and empower our partners and stakeholders. Share weekly business performance with the leadership team. You will work closely with system architects and engineers to put in place systems and processes to build the platform/systems for data analytics. Helps analyze the effectiveness of new initiatives to inform whether to double down, pivot, or eliminate initiatives. Desired Candidate Skills and
Experience:
BS or MS in Engineering, Math, Statistics, Analytics, or Finance 5
years experience working in a fast paced environment as a consultant, data analyst or data scientist working with Revenue or Finance. Excellent quantitative skills and a deep understanding of statistical methods. Bring a consultative mindset and are able to experiment and innovate. You are biased to action and have the ability to inspire confidence in data-driven decision making. Ability to independently operate and work with senior management. Are able to communicate technical content to non-technical audience. Top notch SQL skills. Excellent modeling skills with Excel/Google sheets. Experience working with Data Warehouses(how we organise data), Business Intelligence Solutions (Tableau etc., Databases (SQL), Postgres etc) Experience with running A/B tests and familiar with Experimentation platforms. Above all else, you are Curious, Kind, Willing to Learn and Motivated by a Challenge!
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
The Enjoy Data Analytics team is searching for a Senior Data Analyst who will collaborate with the Revenue and Sales Ops Leadership at Enjoy to find innovative ways to deliver meaningful metrics, trends, key insights, analysis and reporting. You will create clear, concise stories for various stakeholders in the Revenue and Sales and help optimize for Field sales performance, compensation and Revenue growth.You will uncover deep data-driven insights to identify opportunities and risks in revenue and sales. In this role, you will help solve tough and exciting organizational challenges through our team's unique problem solving approach and work with key decision makers to make a real impact on our business while having a lot of fun.
Responsibilities:
You will effectively use data to tell stories, communicate key actionable insights through internal reports, presentations and dashboards to drive business decisions. You will be a consultant that will develop a deep understanding of analytics needs of various functions over time & provide customized data solutions - be it in the form of excel analytics, or dashboards or more advanced analytics. You will align with the leadership team, product managers, business teams and partners to set priorities based on analysis to implement and optimize business processes and solutions. You will support scoping complex data-centric projects across cross functional teams. Build and implement Data Solutions to help drive strategic business decisions leveraging insights. Actively work towards adoption and engagement of data-driven people decisions mindset across the company and educate and empower our partners and stakeholders. Share weekly business performance with the leadership team. You will work closely with system architects and engineers to put in place systems and processes to build the platform/systems for data analytics. Helps analyze the effectiveness of new initiatives to inform whether to double down, pivot, or eliminate initiatives. Desired Candidate Skills and
Experience:
BS or MS in Engineering, Math, Statistics, Analytics, or Finance 5
years experience working in a fast paced environment as a consultant, data analyst or data scientist working with Revenue or Finance. Excellent quantitative skills and a deep understanding of statistical methods. Bring a consultative mindset and are able to experiment and innovate. You are biased to action and have the ability to inspire confidence in data-driven decision making. Ability to independently operate and work with senior management. Are able to communicate technical content to non-technical audience. Top notch SQL skills. Excellent modeling skills with Excel/Google sheets. Experience working with Data Warehouses(how we organise data), Business Intelligence Solutions (Tableau etc., Databases (SQL), Postgres etc) Experience with running A/B tests and familiar with Experimentation platforms. Above all else, you are Curious, Kind, Willing to Learn and Motivated by a Challenge!
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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