Sr. Marketing Analyst
Sr. Marketing Analyst who owns the marketing analytics stack, builds attribution and predictive models, leads cross-functional projects, and serves as a strategic partner to marketing leaders by delivering actionable insights and data governance. Requires 6-8 years quantitative analytics experience including people management, expert SQL and data modeling, and B2B marketing analytics proficiency.
About the job
What You’ll Do
- Own the marketing analytics stack—build and maintain dashboards and reports that track pipeline, campaign performance, funnel conversion, and ROI.
- Create business and technical requirements and documentation and leading marketing team’s enablement.
- Develop and maintain attribution models, lead scoring logic, and funnel stage definitions in partnership with MOps.
- Lead cross-functional projects to develop and implement new marketing initiatives.
- Go beyond "what happened" to determine "why it happened" and "what we should do next."
- Serve as a strategic partner to marketing leaders, proactively diagnosing business health and prescribing specific operational interventions without waiting for top-down direction.
- Establish and enforce data governance standards for the marketing organization to ensure that Finance, Sales, and Marketing are aligned on a single source of truth.
- Drive the adoption of self-service analytics by designing intuitive reporting environments that allow business teams to answer their own questions at scale.
- Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks.
- Conduct deep-dive analyses on campaign effectiveness, channel mix, audience segmentation, and pipeline contribution.
- Build cohort analyses, regression models, or predictive models to identify what drives conversion and retention across marketing-sourced pipeline.
- Create weekly, monthly and quarterly performance reports for marketing leadership, including executive-ready summaries with clear takeaways.
- Leverage reverse funnel approach to build the Inbound demand model in collaboration with the Demand Gen and Finance teams.
What We're Looking For
- 6-8 years of quantitative experience in Marketing & Data Analytics, Business Operations, or Management Consulting with 2-3 years of people management experience.
- Experienced working in a B2B business supporting CMO, Digital and Field Marketing teams.
- Built multi-touch attribution, predictive, and demand gen models.
- Exceptional attention to detail.
- A self-directed mindset with the ability to ruthlessly prioritize workstreams and navigate unstructured business problems with minimal supervision.
- Expertise in translating complex analyses into concise, executive-level narratives that drive immediate strategic decisions.
- Proficient in Google Sheets, including advanced formulas, pivot tables, vlookup, data validation, conditional formatting and scripting.
- Expert level SQL skills; capable of data modeling from scratch using DBT/GitHub (ideally 2+ years of experience building net new data models).
- Experience with Salesforce, Marketo, GA4, Amplitude, Thoughtspot, SLG & PLG GTM Strategies and API management.
Skills
SQL, dbt, GitHub, Salesforce, Marketo, Google Analytics 4, Amplitude, Thoughtspot, Google Sheets, Multi-Touch Attribution, Predictive Modeling, Demand Generation Models
Similar jobs
Data Analytics jobsLeads end-to-end healthcare analytics consulting projects, translating client questions into analyses, managing stakeholders, and delivering data-driven insights. Requires 8+ years of healthcare analytics experience, quantitative training, project leadership, strong communication, and SQL, Python, or R proficiency.
Performs actuarial and financial analysis for value-based healthcare contracts, using claims data, SQL, forecasting models, and statistical methods to evaluate performance and support payer partnerships. Requires a quantitative bachelor's degree, ASA or near-ASA credentials, and at least two years of healthcare actuarial experience.
Leads hands-on demand generation across LinkedIn, email, events, landing pages, and ABM campaigns to create measurable B2B pipeline. Requires 4–6 years of B2B technology marketing experience, strong commercial writing, and the ability to translate complex products into buyer-focused messaging.
The Senior Strategic Sourcing Data Analyst will turn procurement data into insights that improve savings, working capital, supplier performance, and operational efficiency. The role requires 5–7 years of analytics experience, advanced visualization and SQL skills, and familiarity with procurement systems such as Coupa and SAP.
Leads monetization and expansion analytics across a B2B SaaS product suite, including ARPU modeling, cross-sell optimization, predictive model operationalization, and pricing experimentation. Requires 8+ years of analytical experience plus expert SQL/Python and Snowflake/dbt expertise.