redwoodsoftware · Marketing Analytics
Hyderabad, Telangana, IndiaOnsite
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Role read
A quick read on what this posting appears to emphasize, based on the employer description and role fields.
Worth noticing
Lifecycle / email / CRM
“… SaaS-first automation fabric—with AI embedded across the automation lifecycle …”
Retention and reactivation programs are core here.
Marketing ops / analytics
“… Other YOUR IMPACT We’re looking for a Marketing Analytics Manager who will own the strategy and …”
Systems ownership and reporting usually anchor this work.
Google Analytics
“… and business recommendations Experience working with marketing automation and CRM platforms (e.g., Salesforce, Marketo, Google Analytics …”
Marketo
“… with marketing automation and CRM platforms (e.g., Salesforce, Marketo …”
Salesforce
“… working with marketing automation and CRM platforms (e.g., Salesforce …”
Where this comes from
Every line below is grounded in the actual posting or in the title, role fields, and seniority tags. Snippets are quoted verbatim; the source tag tells you which part of the listing they came from.
Channels mentioned
… SaaS-first automation fabric—with AI embedded across the automation lifecycle …
Why it matters here: Retention and reactivation programs are core here.
… Other YOUR IMPACT We’re looking for a Marketing Analytics Manager who will own the strategy and …
Why it matters here: Systems ownership and reporting usually anchor this work.
Tools mentioned
… and business recommendations Experience working with marketing automation and CRM platforms (e.g., Salesforce, Marketo, Google Analytics …
Growth stack
Use this posting to prepare
Each subsection below is grounded in something the posting or the role fields actually say. Use them as prompts — not as finished resume copy.
Step 1
Terms in the actual posting. Use these only where they match your real experience.
Compare
Live openings that share a specialty, seniority, work mode, or channel mix with this role. Different companies are favored over same-company roles so the comparison is genuinely useful.
| Role | Company | Specialty | Work mode | Why similar |
|---|---|---|---|---|
| Marketing Analytics Lead New York City, NY; San Francisco, CA | Faire | Marketing Analytics | Onsite |
|
| Marketing Analytics Lead Toronto, Canada | lyft |
redwoodsoftware
redwoodsoftware has 3 other live roles on this site right now within the same role category. The list below shows what they’re hiring for alongside this posting.
Other live roles
Original employer description
Reproduced verbatim from the employer. Verify everything in this brief against the source text below.
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 and effectively to both technical and non-technical audiences
Influence decision-making through data-driven recommendations and clear storytelling
Data Governance & Alignment
Partner with RevOps and data teams to ensure data quality, consistency, and alignment across systems
Validate reporting outputs and maintain stakeholder confidence in data accuracy
Identify gaps in data availability and drive improvements in data coverage and reliability
Advanced Analytics
Partner with technical teams on attribution modeling and customer journey analysis
Leverage advanced analytics to better understand channel impact and optimize marketing investment
YOUR EXPERIENCE
8+ years of experience in marketing analytics, business intelligence, or a related field
Strong understanding of marketing funnel metrics, pipeline tracking, and campaign performance analysis
Proven ability to translate data into strategic insights and business recommendations
Experience working with marketing automation and CRM platforms (e.g., Salesforce, Marketo, Google Analytics)
Experience working with dashboards and reporting tools (e.g., Tableau, Power BI, Qlik)
Strong stakeholder management and communication skills, with the ability to influence decision-making
Experience supporting executive or board-level reporting
Strong problem-solving skills and attention to detail
Preferred
Experience with attribution modeling and customer journey analytics
Experience working in cross-functional analytics or RevOps environments
Familiarity with AI/automation in analytics workflows (e.g., anomaly detection, automated insights)
Working knowledge of SQL/Python and comfort engaging with large datasets
If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
THE LEGAL BIT
Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.
Redwood will comply with all local data protection laws, including GDPR when it comes to the handling and processing of personal data. Should you wish for us to remove your personal data from our recruitment database, please email us directly at Recruitment@Redwood.com
More to explore
… with marketing automation and CRM platforms (e.g., Salesforce, Marketo …
… working with marketing automation and CRM platforms (e.g., Salesforce …
… (e.g., anomaly detection, automated insights) Working knowledge of SQL …
Why it matters here: Queries against the data warehouse show up in this listing's stack.
Success metrics mentioned
… leadership, translating data into actionable insights that drive pipeline growth and improve campaign performance. You will …
… funnel stages Define success metrics tied to pipeline, revenue …
… reliability Advanced Analytics Partner with technical teams on attribution modeling and customer journey analysis Leverage advanced …
… own the strategy and optimization of marketing performance reporting across the organization. This role goes beyond …
Step 2
Worth raising before applying or in the first recruiter conversation.
01Which systems and attribution models are considered the source of truth?
Why ask this: Triggered when marketing ops, attribution, or analytics tooling is named. Triggered by the posting’s mention of marketing ops / analytics tooling.
02How is the relationship between paid acquisition and lifecycle structured?
Why ask this: Triggered when both paid and lifecycle signals appear. Triggered by the posting’s mention of both paid and lifecycle signals.
03How are retention, activation, and reactivating-lapsed accounts measured?
Why ask this: Triggered when lifecycle or retention signals appear. Triggered by the posting’s mention of lifecycle / retention signals.
Step 3
Each angle below starts from a real signal in the posting. The phrase “if this reflects your real experience” matters — don’t invent experience you don’t have.
Angle 01
Lifecycle / CRM angle
If this reflects your real background, emphasize: segmentation and lifecycle journeys, CRM tooling and journey orchestration, and retention, activation, and reactivation impact
Why we suggest this: posting mentions lifecycle / email / crm.
Angle 02
Marketing ops angle
If this reflects your real background, emphasize: systems ownership (CRM, CDP, automation), data quality, attribution, and reporting, and stakeholder workflows and dashboards
Why we suggest this: posting mentions marketing ops / analytics and attribution.
Angle 03
Analytics / reporting angle
If this reflects your real background, emphasize: data warehouse access and tooling stack, metric definitions and reporting cadence, and attribution and forecasting accuracy
Why we suggest this: posting mentions attribution and reporting & forecasting.
Keyword stuffing, fabricated bullets, or borrowed metrics tend to backfire in the first screen. Use these as a checklist, not a script.
| Marketing Analytics |
| Onsite |
|
| Marketing Analytics Lead New York City | range | Marketing Analytics | Onsite |
|
| Marketing Analytics Manager Berlin | Global Team | pergolux | Marketing Analytics | Onsite |
|
| Marketing Analytics Analyst Hyderabad, Telangana, India | redwoodsoftware | Marketing Analytics | Onsite |
|
| Analyste de Données Senior, Marketing Analytics Montreal, QC, Canada | ubisoft2 | Marketing Analytics | Onsite |
|
Up to two reason chips per row; the strongest match is shown first.
Apply before August 22, 2026.