Senior Data Analyst (Marketing Experience)

USA (Remote)

$100K/yr – $120K/yrSenior Level3+ years expFull time

Posted 2 months ago

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Job Summary

Own client facing data projects from requirements to insights, delivering dashboards, data models, and trusted analytics.

  • Translate client needs into data solutions and clear insights.
  • Build and maintain dashboards in Looker, Power BI, and Tableau.
  • Ensure data quality through QA/UAT and robust data transformations.

Job Description

Responsibilities

  • Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
  • Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
  • Design and maintain data models that consolidate data from multiple marketing platforms and sources.
  • Map and document data flows across complex, multi-source schemas.
  • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
  • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
  • Manage and enhance data transformations with dbt.
  • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
  • Use Git for version control and collaboration.

Requirements

  • Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
  • 3+ years of SQL experience.
  • Proficiency with AI tools and ability to integrate them into daily workflows.
  • Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
  • Understanding of data modeling principles (star schema, dimensional modeling).
  • Understanding of ELT/ETL concepts and debugging data transformation logic.
  • English C1 level with excellent written and verbal communication.
  • Ability to communicate directly with clients and stakeholders.
  • Takes ownership and responsibility for their work and results.
  • Can present their work and insights confidently to clients.

Preferred

  • Knowledge of Google Analytics (for business understanding)
  • Knowledge of Google Analytics Data Streams
  • Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.)
  • Understanding of Marketing Mix Modeling (MMM) concepts
  • dbt experience in analytics workflows
  • Python or other scripting language for data analysis and automation
  • Experience with data quality frameworks or data observability tools
  • Familiarity with marketing attribution models

Benefits

  • Remote-first environment
  • Competitive compensation
  • Medical and dental benefits
  • 401K plan
  • Unlimited PTO
  • Paid holidays
  • Professional development reimbursement
Improvado logo

Improvado

4.3 Glassdoor

Improvado automates marketing reporting, enables informed budget decisions, and increases the ROI of marketing efforts. We help marketing teams streamline inefficient spreadsheet analytics and achieve deep insights into revenue generation. Improvado connects data across 500+ marketing and sales platforms to build a holistic picture of marketing performance. As an end-to-end analytics platform, Improvado handles everything, from data extraction and normalization to visualizing data in insightful dashboards.With Improvado, it’s easy to track the performance of your cross-channel efforts, calculate complex metrics such as CLV or CAC, attribute revenue to touchpoints, and recreate customer journeys.Want to learn more? Schedule a demo at www.improvado.io.

Founded in 2015
San Diego, California, USA
105 employees (10 in marketing)
84% recommend to a friend
100% CEO approval

Traffic Signals

Monthly Visitors
120.3K
Monthly Google Ads Budget
$55.3K
Traffic Source Mix
Search
51.6%
Direct
35.2%
Referral
8.9%
Social
3.2%
Paid
0.9%

Headcount Trend

Current headcount: ~107

Marketing Team

Marketing Team Size
9 (9% of company)
Marketing Roles Posted (Last 30 Days)
4

Funding

Total Funding
$30M
Last Raise
$22M
Series A, 4 years ago

Funding History

  • May 2022
    Series A • $22M
  • Apr 2019
    Seed • $5M
  • Apr 2018
    Seed • $3M

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