Business Insights Analytics Manager - Remote

Required Skills & Experience

• 6+ years of experience in Business Insights, Analytics, Business Intelligence, Product Analytics, Strategy Analytics, or a similar function. ○ 2+ years directly managing analysts / Previous experience managing, mentoring, and developing analysts while still operating as an individual contributor.
• Advanced, hands-on SQL experience. ○ They will personally perform analysis while managing the team.
• Strong experience working directly with senior leadership/executives, presenting findings and clearly answering questions or defending recommendations.
• Ability to take an ambiguous business question, determine how to analyze it, investigate the underlying data, and turn the findings into a clear business recommendation.
• Experience defining, standardizing, or governing KPIs/business metrics, particularly in environments where teams may have different definitions or sources of truth.
• Strong cross-functional experience partnering with teams such as Finance, Product, Growth/Marketing, Content, Operations, and Data Engineering.
• Experience prioritizing competing analytical requests and bringing structure to a fast-paced, reactive analytics environment.
• Strong dashboarding/BI experience and ability to improve or rebuild reporting, particularly Omni
• Comfortable working in a smaller, scaling, or evolving data environment where processes, metrics, and data structures may not already be fully mature.
• Strong business judgment. This person needs to explain what happened, why it happened, why it matters, and what the business should do next.
• Must be comfortable operating as a true player-coach, not a people-management-only Analytics Manager.

Nice to Have Skills & Experience

• Streaming, media, entertainment, or B2C subscription experience
• Experience with subscription/customer analytics including: Trial-to-paid conversion Retention/churn Reactivation/winback Engagement Cohort analysis Customer lifetime value Billing/payments Pricing and packaging
• Snowflake experience
• Mode or similar BI/reporting tools
• Experience helping with a BI/reporting migration or dashboard rebuild
• Experience building or improving a semantic layer / standardized metric definitions
• Python or R. These are beneficial but secondary to SQL.
• Familiarity with dbt, Segment, Avo, GrowthBook, or similar modern data tools.
• Experience with experimentation, funnel analysis, forecasting, or anomaly detection

Job Description

Insight Global is looking for an Analytics Manager / Business Insights Manager to lead and develop a small team of analysts while remaining highly hands-on in the actual analytical work. This is a true player-coach role. The manager will personally write SQL, investigate complex or ambiguous business questions, review analysts' work, prioritize incoming requests, and communicate findings directly to senior leadership.

A typical assignment could start with leadership identifying an unusual subscriber, revenue, billing, or engagement trend. This person will determine how to investigate it, query the underlying data, partner with the appropriate stakeholders, identify what is driving the trend, and present a concise explanation and recommendation back to leadership.

A major priority will also be helping the organization establish a more consistent source of truth for business metrics. The manager will partner across the organization to define metrics and business logic, then work with Data Engineering to ensure those definitions are represented appropriately within the data environment.

The broader organization is currently modernizing its data environment, including a migration to Snowflake and a move from Mode to Omni for BI/reporting. This person will help rebuild dashboards and reporting while improving how Analytics prioritizes and delivers work. This is a fully remote role and a contract to hire position.

Day to Day

• Standardize metrics ○ Work across business functions to define the company's core metrics. ○ Establish consistent definitions, filters, calculations, and business logic. ○ Partner with data engineering to eventually embed that logic into the company's semantic/data layer.
• Executive & stakeholder partnership ○ Work directly with senior leaders. ○ Own significant analytics work coming out of the weekly executive review. ○ Translate business questions into actionable analytics work. ○ Help determine which analytics problems should actually be prioritized.
• People leadership ○ Coach and mentor analysts, particularly more junior team members. ○ Review and guide their work. ○ Help improve the overall quality of analytics delivered by the team.
• Remain hands-on ○ This person will be expected to write SQL daily, potentially multiple times per day. ○ Perform their own analysis rather than simply delegating work.
• Presentation/storytelling skills are critical because the previous search struggled to find candidates who could combine analytics skills with strong executive presentation capabilities.