Analytics & Insights Data Manager

Role Overview

• Manage and optimize the company’s data warehouse architecture and data pipelines.
• Design and maintain scalable data models to support analytics, reporting, and business intelligence.
• Ensure data quality, reliability, and governance across internal data systems.
• Oversee ETL/ELT processes to integrate data from multiple sources including CRM, marketing platforms, financial systems, and operational databases.
• Implement best practices for data security, access control, and data lifecycle management.
• Deliver high level analysis to support revenue growth, customer acquisition, and market expansion.
• Analyze sales pipeline performance, customer behavior, marketing campaign effectiveness, and market trends.
• Develop dashboards and reporting frameworks that provide leadership with clear, actionable insights.
• Partner with Sales and Marketing leaders to identify opportunities for growth, efficiency, and competitive advantage.
• Translate business questions into data driven analysis and recommendations.
• Support leadership with strategic analysis including forecasting, segmentation, and performance measurement.
• Identify key metrics and KPIs that drive business performance.
• Build scalable analytical frameworks that support long term decision making.
• Explore and implement opportunities to leverage AI and machine learning to enhance analytics and forecasting.
• Develop scalable data automation processes that improve reporting efficiency and reduce manual work.
• Support the integration of AI tools that enhance insight generation, predictive modeling, and operational decision making.
• Work closely with business stakeholders to understand data needs and translate them into technical solutions.
• Act as a bridge between technical teams and business leaders.
• Communicate insights clearly to both technical and non-technical audiences.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
• 5+ years of experience in data management, analytics, or business intelligence roles.
• Strong experience with data warehouse environments (Snowflake, Redshift, BigQuery, or similar).
• Experience designing and managing data pipelines and ETL/ELT workflows.
• Strong SQL skills and experience working with large datasets.
• Experience analyzing sales, marketing, or customer data to support business strategy.
• Strong ability to translate complex data into clear insights for leadership.

Tech Stack

• Amazon Redshift
• BigQuery
• ETL
• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities