Lead Data Analyst

Agero-posted 4 months ago
$110,000 - $150,000/Yr
Full-time • Senior
MA
1,001-5,000 employees
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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.

  • 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.
  • 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.
  • Leverage quantitative analysis and data storytelling to uncover actionable insights that drive business growth.
  • Utilize advanced statistical and machine learning techniques to develop analytical models that deepen understanding of customer behavior patterns.
  • Collaborate closely with senior leadership to translate findings into actionable strategies and initiatives.
  • Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field.
  • 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.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions.
  • Demonstrated ability in project and task management, attention to detail, and the ability to work independently, as well as part of a team.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
  • Knowledge of data engineering processes, including ETL (Extract, Transform, Load).
  • Familiarity with cloud platforms such as AWS or Azure.
  • Previous experience in a technical role at a top-tier professional services or leading technology company.
  • Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
  • 401(k) plan with company match and tuition assistance to support your future goals.
  • Flexible time off, paid sick leave, and ten paid holidays annually.
  • Parental planning benefits to assist associates through life’s milestones.
  • Bonus/Incentive Programs.
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