Marketing Analytics Manager
Redwood Software
| Company | Redwood Software |
| Category | Data & Analytics |
| Location | Hyderabad |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 23 Jun 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
OUR MISSION
At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.
ABOUT US
Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next.
CORE VALUES
One Team. One Redwood
Make Your Own Weather
Obsess over Customer Success
Work the Problem
Be Curious
Own the Outcome
Respect Each Other
YOUR IMPACT
We’re looking for a Marketing Analytics Manager who will own the strategy and optimization of marketing performance reporting across the organization. This role goes beyond dashboard creation—you’ll act as a strategic partner to marketing and leadership, translating data into actionable insights that drive pipeline growth and improve campaign performance.
You will define how success is measured across the marketing funnel, proactively identify trends and opportunities, and ensure the organization has a clear, consistent view of performance. You will partner closely with Marketing, RevOps, and data teams to enable scalable analytics solutions and trusted reporting.
Analytics Strategy & Ownership
Own the end-to-end marketing analytics strategy, including defining KPIs, establishing reporting frameworks, and standardizing measurement approaches across the funnel
Establish and govern a consistent source of truth for marketing performance across channels, segments, and funnel stages
Define success metrics tied to pipeline, revenue, and campaign performance in partnership with marketing leadership
Own the roadmap and prioritization for marketing analytics reporting and insights
Proactively identify trends, risks, and opportunities within marketing data and recommend actionable strategies
Operate independently in a fast-paced, evolving environment, proactively identifying opportunities and driving analytics initiatives forward
Pipeline & Performance Insights
Monitor marketing pipeline performance and provide insights for weekly pipeline calls and leadership reviews
Analyze funnel conversion, campaign effectiveness, and channel performance to identify optimization opportunities
Support board-level reporting through data preparation, storytelling, and executive-ready insights
Deliver ad hoc analysis on campaigns, channels, and strategic initiatives
Conduct, synthesize, and present complex data analysis to support strategic decision-making and executive discussions
Own and continuously optimize the opportunity generation model used for marketing target setting, including assumptions around conversion rates, pipeline coverage, and sales cycle dynamics
Dashboarding & Reporting (Ownership & Adoption)
Define reporting requirements and ensure outputs align with business needs and decision-making workflows
Partner with BI and analytics engineering teams to deliver intuitive, actionable dashboards
Ensure dashboards are widely adopted, trusted, and effectively used by stakeholders across the organization
Continuously refine reporting based on feedback and evolving business priorities
Cross-Functional Partnership
Act as a strategic partner to marketing, sales, and operations teams
Align data, business goals, and execution across stakeholders
Communicate complex data insights clearly
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