Lead Data Analyst

Responsibilities:

• Note: For technical and other select roles, your first day will be spent at our HQ in Medford, MA to facilitate a smooth onboarding experience
• Willingness to travel is required, as you may need to attend on-site team meetings from time to time
• The Lead Data Analyst plays a pivotal role in leading data-driven initiatives within the organization, bridging the gap between raw data and strategic insights
• This position operates with a high level of autonomy, responsible for dissecting complex datasets to uncover trends, patterns, and actionable insights that inform critical business decisions
• Collaborating closely with internal stakeholders across various departments, this person ensures that data insights are translated into tangible strategies that enhance operational efficiency and drive business growth

Skills:

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field
• Experience: 8+ years of experience in data analytics, business analytics, consulting, or related roles
• Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI)
• Experience with cloud data platforms such as GBQ, Snowflake, or Redshift
• Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts
• Familiarity with machine learning algorithms, natural language processing (NLP), and advanced analytics techniques
• Communication: Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
• Problem-Solving: Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions
• Project Management: Demonstrated ability in project and task management, attention to detail, and the ability to work independently, as well as part of a team

Benefits:

• Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education
• The range listed is just one component of the total compensation package provided by Agero to employees
• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families
• Financial Security: 401(k) plan with company match and tuition assistance to support your future goals
• Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually
• For Contact Center Roles: Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually
• Family Support: Parental planning benefits to assist associates through life’s milestones
• Bonus/Incentive Programs

Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field
• Experience: 8+ years of experience in data analytics, business analytics, consulting, or related roles
• Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI)
• Experience with cloud data platforms such as GBQ, Snowflake, or Redshift
• Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts
• Familiarity with machine learning algorithms, natural language processing (NLP), and advanced analytics techniques
• Communication: Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
• Problem-Solving: Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions
• Project Management: Demonstrated ability in project and task management, attention to detail, and the ability to work independently, as well as part of a team

Benefits:

• Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education
• The range listed is just one component of the total compensation package provided by Agero to employees
• $110,000—$150,000 USD
• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families
• Financial Security: 401(k) plan with company match and tuition assistance to support your future goals
• Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually
• For Contact Center Roles: Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually
• Family Support: Parental planning benefits to assist associates through life’s milestones
• Bonus/Incentive Programs

Responsibilities:

• Note: For technical and other select roles, your first day will be spent at our HQ in Medford, MA to facilitate a smooth onboarding experience
• Willingness to travel is required, as you may need to attend on-site team meetings from time to time
• The Lead Data Analyst plays a pivotal role in leading data-driven initiatives within the organization, bridging the gap between raw data and strategic insights
• This position operates with a high level of autonomy, responsible for dissecting complex datasets to uncover trends, patterns, and actionable insights that inform critical business decisions
• Collaborating closely with internal stakeholders across various departments, this person ensures that data insights are translated into tangible strategies that enhance operational efficiency and drive business growth
• Product Analytics & Experimentation: Lead the development of robust analytics and data science solutions to optimize decision-making processes across product lifecycle stages
• Conduct rigorous A/B testing and experimentation to evaluate product features, user experiences, and pricing strategies
• Analyze results to provide actionable insights that inform iterative improvements and drive conversion optimization
• Additional focus areas include analyzing product performance metrics, customer segmentation strategies, and market trends to drive informed product development and enhancement strategies
• Performance Monitoring: Design and maintain real-time dashboards that monitor key performance indicators (KPIs), conducting in-depth performance analyses to identify trends, anomalies, and areas for improvement
• Provide recommendations to support both operational efficiency and strategic initiatives
• Insight Generation: Leverage quantitative analysis and data storytelling to uncover actionable insights that drive business growth
• By deeply understanding marketplace dynamics, customer behaviors, and emerging trends, you will empower business and product leaders to make data-driven decisions
• Translate complex data into clear, compelling narratives that inspire innovation and continuous improvement
• Advanced Analytics: Utilize advanced statistical and machine learning techniques to develop analytical models that deepen understanding of customer behavior patterns, enhance operational efficiencies, and uncover insights into market dynamics
• Collaborate closely with senior leadership to translate findings into actionable strategies and initiatives
• Cross-Functional Collaboration: Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects
• Serve as a key advisor and subject matter expert on data analytics methodologies and best practices, ensuring alignment of analytical efforts with organizational goals and objectives