Remote Position

Marketing Data Automation Specialist (m/f/d) - Remote (based in Romania)

🌍 Remote Β· United States πŸ’Ό Full-time

A small piece of paper with numbers that have the power to change a life forever! Okay... let's replace the paper with an app and one person with 600,000+ monthly users. This is our business!

πŸ“Œ Your Mission

The Marketing Data Automation Specialist turns the marketing team's manual, ad-hoc reporting into automated, reliable dashboards and data workflows β€” so decisions run on clean, timely data instead of hand-pulled spreadsheets. The goal: free the analysts and managers from manual reporting, connect our data sources into a single source of truth, and make self-serve reporting the default.

🎯 Your Tasks & Responsibilities

  • Own and operate marketing data pipelines within BigQuery, including scheduling, monitoring, alerting, and refresh logic for data that restates over time (such as cohorts).

  • Build and maintain automated dashboards across BI platforms, including Metabase, Tableau, Power BI, and Looker Studio.

  • Develop ETL workflows and data pipelines using SQL and Python to pull from source APIs, utilizing managed connectors where appropriate.

  • Integrate cross-channel marketing data across ad platforms, mobile measurement partners (Adjust), CRMs (CleverTap, Leanplum), GA4, and revenue streams.

  • Execute data-quality checks and continuous monitoring to maintain high data reliability.

  • Supply the Marketing Analyst with clean, production-ready datasets.

  • Perform ad-hoc data pulls while actively automating recurring requests, accompanied by clear documentation for pipelines and metric definitions.

πŸ† Your Impact in This Role

  • Take over and harden the existing data pipelines (Adjust/MMP β†’ BigQuery) β€” from manually-run to scheduled, monitored, and alerting on failure.

  • Automate recurring reporting β€” dashboards that replace manual pulls across channels.

  • Build and maintain data workflows connecting MMP, ad platforms, CRM, GA4 and revenue data,

  • Ensure data quality and consistency β€” automated validation against source APIs, so numbers stay trustworthy without manual checking.

  • Enable self-serve reporting so managers answer their own questions.

  • Cut reporting turnaround β€” from days of manual work to always-on dashboards.

πŸš€ Your Key Competencies

Must-have (Hard Skills):
  • Possess strong proficiency in SQL for data querying, transformation, and management.

  • Write and maintain Python data pipelines, with comfort working with REST APIs and refactoring existing pipeline codebases.

  • Build and manage dashboards using Looker, Tableau, Power BI, or Looker Studio.

  • Schedule and orchestrate workflows using tools such as Cloud Scheduler, Airflow, dbt, or cron-based jobs.

  • Demonstrate a working understanding of core marketing data sources, including ad platforms, MMPs, CRMs, and GA4.

  • Practice a genuine, rigorous approach to data quality and validation.

  • Communicate fluently in written and spoken English.

Nice-to-have:
  • Experience with consumer app and mobile data ecosystems, particularly MMPs like Adjust.

  • Familiarity with dbt or similar transformation layers, managed connectors (Fivetran, Airbyte, n8n), and general GCP services.

  • Exposure to AI-assisted automation tooling for streamling data processes.

  • Background or previous experience operating within regulated industries.

Soft Skills:
  • Systematic and detail-oriented, maintaining high precision across data logic and outputs.

  • Automation-minded, with an instinct to replace manual, repetitive work with scalable solutions.

  • Highly reliable, ensuring the team can fully trust the accuracy of the numbers.

  • Collaborative partner, working effectively alongside analysts and marketers as a dependable data supplier.

  • Thriving in dynamic scale-up environments, actively creating order and bringing structure to evolving opportunities.

πŸŽ“ Your Background – Education & Experience

  • 3 to 6 years of experience in data engineering or marketing analytics.

  • Proven track record of automating reporting and building robust data pipelines.

  • Preferred experience with consumer-app data, Python, and operating within regulated industries.

  • Bachelor’s degree in a relevant field or equivalent practical experience.

🎁 What we offer you:

Remuneration & work-life balance:
  • Competitive salary and trust-based working hours.

  • Private health insurance.

  • Generous training budget.

  • Extraordinary team events.

  • Meal benefit.

Communication & trust:
  • Open, honest and direct communication. Your ideas are welcome!

  • A feedback meeting every quarter to help us grow together.

  • We encourage innovation and are open to new ideas that push the boundaries.

Modern working:
  • Everything you need for your daily work: MacBook, monitor, headphones and more.

Individual training:
  • One training day per month and a generous training budget for your personal development.

Buddy program:
  • An experienced team member will support you from day one to help you get started.

The team
  • We are a colorful bunch from different nations and backgrounds. We don't distinguish by religion, gender, age, marital status... For us, the focus is on what you can do!

πŸͺ΄Our values:‍

MAKE IT HAPPEN πŸ’ͺ🏼
  • Drive results - Own the problem, the goal, and the outcome through self-organization and decisions backed by data

  • Speak up with courage - Challenge ideas and raise issues directly when it matters

  • Getting things done - Be pragmatic, keep momentum, and bring the energy

  • Deliver quality impact - Ship solutions that move our mission and strategic goals forward

WIN TOGETHER πŸ’š
  • Communicate openly and respectfully - Be transparent, assume positive intent, and set aside own ego when interacting with others

  • Help others win - Proactively share knowledge, time, and strengths in an interdisciplinary set-up

  • Work across cultures - Learn from others’ perspectives and actively refine own style for trust-based collaboration in a diverse team

  • Bring team spirit - Create moments of joy and belonging that fuel big outcomes together

SHAPE THE FUTURE πŸš€
  • Experiment to learn - Run tests, measure outcomes, treat mistakes as an invitation to learn and adapt insights into action

  • Spot opportunities - Stay close to customers and market trends to identify what’s next

  • Build user-first innovation - Deliver trustworthy, data-driven solutions and services that set the bar

  • Grow yourself - Challenge and reflect on the way you work, seek feedback, and keep developing your skills πŸ‘‰ Sounds like you? πŸ“© https://nextlottogmbh.teamtailor.com/

3-6 years in data engineering or marketing analytics; strong SQL and Python; dashboarding with Looker, Tableau, Power BI, or Looker Studio; workflow orchestration; marketing data sources; English fluency.

Key Responsibilities

  • building data pipelines
  • automating dashboards
  • integrating marketing data

Skills & Tools

BigQuery, Metabase, Tableau, Power BI, Looker Studio, SQL, Python, Adjust, CleverTap, Leanplum, GA4, Cloud Scheduler, Airflow, dbt, Fivetran, Airbyte, n8n, GCP, MacBook

Job Details

  • Category: Data and Analytics
  • Seniority: Mid Level
  • Commitment: Full Time
  • Workplace: Remote β€” Romania or Germany
  • Languages: English

About Next Lotto GmbH

A lottery company with a mobile app serving over 600,000 monthly users. β€” Industry: Government Agencies and Departments

Apply Now β†’

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