Skip to content
FivetranFivetran

Marketing Insights Analyst

Marketing Insights Analyst responsible for owning marketing performance reporting, ROI analysis, and data-driven recommendations on investment mix, pipeline drivers, and experimentation. Requires 5-8 years B2B SaaS marketing analytics experience, strong SQL, BI tools, and business judgment to advise leadership.

About the job

What You’ll Do

Insights & Executive Reporting

  • Partner closely with the corporate analytics function and act as the liaison between marketing leadership and the Analytics team to build actionable and scalable reporting.
  • Own the weekly and monthly business review process: prepare data and partner with leadership on the narrative.
  • Conduct ad hoc deep dives to diagnose pipeline trends, campaign anomalies, or funnel conversion issues and proactively surface recommendations.
  • Support quarterly planning and annual budgeting with data-driven recommendations on channel mix and investment levels.

Impact Measurement

  • Design and maintain models to quantify the impact of marketing programs across the buyer journey.
  • Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios.
  • Scope dashboards for opportunity areas and partner with analytics team to make them a reality.
  • Develop segment- and region-level views of marketing performance to support resource allocation decisions.

Experimentation & Optimization

  • Analyze marketing experiments (A/B tests on landing pages, email sequences, ad creative, offers) to drive continuous improvement.
  • Build automated dashboards, scorecards, and alerting for key marketing KPIs so teams can self-serve and act quickly on trends.
  • Partner with Marketing Ops and data engineering to ensure data quality, proper tracking, and consistent taxonomy across systems (Salesforce, Marketo, web analytics).

Skills We’re Looking For

  • 5-8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment.
  • Strong SQL skills and hands-on experience working with cloud data warehouses (Snowflake, BigQuery, or Redshift).
  • Proficiency with BI and visualization tools (Looker experience preferred) and the ability to build executive-ready dashboards and reporting.
  • Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo preferred).
  • Deep understanding of B2B SaaS performance metrics, including pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts.
  • Strong business judgment and a clear point of view, with the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders.
  • Demonstrated ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations.
  • Comfort operating in a fast-changing environment, where definitions, targets, and operating models evolve, and the ability to balance speed with analytical rigor.

Bonus Skills

  • Python or R proficiency for statistical analysis, automation, or building lightweight models.
  • Experience with multi-touch attribution platforms (Bizible/Marketo).
  • Exposure to experiment design, significance testing, or applied statistics in a marketing context.
  • Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences.
  • Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker).
  • Background in data infrastructure, developer tools, or analytics software industries.

Technologies You’ll Use

  • Fivetran, BigQuery, Looker, SFDC, Demandbase, Bizible, Marketo, Google Suite.

Perks and Benefits

  • 100% employer-paid medical insurance.
  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off.
  • RSU stock grants.
  • Professional development and training opportunities.
  • Company virtual happy hours, free food, and fun team-building activities.
  • Monthly cell phone stipend.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises.

Skills

SQL, BigQuery, Looker, Salesforce, Marketo, Bizible, Python, R, Snowflake, Redshift

Current

Current

New York, NY

Data Analyst, Marketing
$130k+/yrOn-site3+ YOEData Analytics

Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.

OnePay

OnePay

United States

Credit Analytics
$130k+/yrRemote4+ YOEData Analytics

Own credit and product analytics for consumer liquidity products, shaping underwriting strategy, portfolio risk policies, and new product launches. The role requires 4–8 years of credit analytics experience, advanced SQL, AI capabilities, and strong quantitative problem-solving skills.

Spade

Spade

New York, NY

Product Performance Analyst
$135k+/yrHybrid3+ YOEData Analytics

Analyzes transaction enrichment performance, investigates data-quality anomalies, and builds dashboards and monitoring to improve product accuracy and reliability. Requires 3–5 years of analytical experience, strong SQL and Python, and experience with BI and automated alerting.

Discord

Discord

United States

Payments & Fraud Analyst
$144k+/yrOn-site4+ YOEData Analytics

Own fraud detection, payments operations, investigations, and risk strategy while leading cross-functional programs and launch assessments. The role requires 4+ years in payments, fraud, or risk operations, strong SQL and card-network expertise, and the ability to communicate decisions across technical and business teams.

OnePay

OnePay

United States

Product Analytics
$150k+/yrRemote4+ YOEData Analytics

Own product and customer analytics across financial product experiences, turning behavioral data and customer feedback into roadmap recommendations and business decisions. The role requires 4–8 years of analytics experience, advanced SQL, strong analytical judgment, and daily fluency with AI-powered tools.