Moego
Moego is hiring: Senior Data Analyst, Sales Insights & Analytics in Los Ange
Moego, Los Angeles, CA, United States
About MoeGo
Our Mission:
The technology in the $130-billion pet industry is antiquated, and it has caused significant friction for the pet economy to progress. We aim to contribute to the pet industry by empowering everyone in the pet community. We strive to build the most trustful, impactful, yet simple-to-use solutions for everyone in the space, so that they can focus on doing what they love and thrive.
Our Team:
Only the best can serve the best. To build the best product and service, we want the best talent. We are committed to seeking out and bringing together the most passionate, talented, and customer-focused individuals to form a team that sets the bar for excellence.
Our Culture:
Every day, we ask ourselves: what if MoeGo disappears tomorrow? Would that be a big difference to our users? We're not here to be just another option in the market. What motivates us is the pursuit of discovering and solving a series of real, impactful problems. By doing so, we aim to redefine the standard of technology and elevate the pet industry to an entirely new level.
We strive to drive changes for the better.
Responsibilities Work closely with Revenue leaders across Marketing, Sales, and Customer Success teams to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Designing and analyzing commission-based compensation models for sales agents, as well as building models and simulations to inform decisions on processes and measure program effectiveness Use historical data and predictive modeling to estimate incremental sales, helping guide compensation adjustments and channel strategy decisions Develop and maintain standard dashboards, scorecards, key performance indicators (KPI) measurements to provide access to all results in a user-friendly format for all cross functional teams via compelling and clear data visualizations Role Objectives
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks Identify trends and opportunities for growth through analysis of complex datasets Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets Create best-practice reports based on data mining, analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Minimum Qualifications
Bachelor's degree in business, Data Analytics, Finance, Statistics, or a related field 3+ years of experience applying statistical techniques and concepts, including regression, decision trees, ensemble models, time series forecasting, linear programming, and optimization 3+ years of experience in Sales Performance and Analytics or Business Intelligence Skilled in data visualization tools like Tableau Proficient with common data languages (SQL, Python, R, etc) Strong understanding of sales compensation, incentives, territory planning, and experience generating reports from Salesforce (Sales and Service Cloud) Accounts, Leads, and Opportunities Ability to thrive in a rapidly evolving, fast-paced start-up environment Preferred Qualifications
Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Strong programming experience with frameworks, including XML, JavaScript, and ETL Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS Proven success in a collaborative, team-oriented environment
MoeGo offers a competitive compensation package (base salary, performance bonus, and benefits). This includes flexible benefit plans to employees and their family members at no cost to the employees and 401(k) matching.
MoeGo is committed to creating a diverse and inclusive work environment, and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Our Mission:
The technology in the $130-billion pet industry is antiquated, and it has caused significant friction for the pet economy to progress. We aim to contribute to the pet industry by empowering everyone in the pet community. We strive to build the most trustful, impactful, yet simple-to-use solutions for everyone in the space, so that they can focus on doing what they love and thrive.
Our Team:
Only the best can serve the best. To build the best product and service, we want the best talent. We are committed to seeking out and bringing together the most passionate, talented, and customer-focused individuals to form a team that sets the bar for excellence.
Our Culture:
Every day, we ask ourselves: what if MoeGo disappears tomorrow? Would that be a big difference to our users? We're not here to be just another option in the market. What motivates us is the pursuit of discovering and solving a series of real, impactful problems. By doing so, we aim to redefine the standard of technology and elevate the pet industry to an entirely new level.
We strive to drive changes for the better.
Responsibilities Work closely with Revenue leaders across Marketing, Sales, and Customer Success teams to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Designing and analyzing commission-based compensation models for sales agents, as well as building models and simulations to inform decisions on processes and measure program effectiveness Use historical data and predictive modeling to estimate incremental sales, helping guide compensation adjustments and channel strategy decisions Develop and maintain standard dashboards, scorecards, key performance indicators (KPI) measurements to provide access to all results in a user-friendly format for all cross functional teams via compelling and clear data visualizations Role Objectives
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks Identify trends and opportunities for growth through analysis of complex datasets Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets Create best-practice reports based on data mining, analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Minimum Qualifications
Bachelor's degree in business, Data Analytics, Finance, Statistics, or a related field 3+ years of experience applying statistical techniques and concepts, including regression, decision trees, ensemble models, time series forecasting, linear programming, and optimization 3+ years of experience in Sales Performance and Analytics or Business Intelligence Skilled in data visualization tools like Tableau Proficient with common data languages (SQL, Python, R, etc) Strong understanding of sales compensation, incentives, territory planning, and experience generating reports from Salesforce (Sales and Service Cloud) Accounts, Leads, and Opportunities Ability to thrive in a rapidly evolving, fast-paced start-up environment Preferred Qualifications
Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Strong programming experience with frameworks, including XML, JavaScript, and ETL Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS Proven success in a collaborative, team-oriented environment
MoeGo offers a competitive compensation package (base salary, performance bonus, and benefits). This includes flexible benefit plans to employees and their family members at no cost to the employees and 401(k) matching.
MoeGo is committed to creating a diverse and inclusive work environment, and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.