Manager, Automation (Madrid)

Manager, Automation (Madrid)

12 nov
|
Dow Jones
|
Madrid

12 nov

Dow Jones

Madrid

Title:
Manager, Automation & Reporting –
Location:
London, United Kingdom or Barcelona, Spain –
Reports to:
Director, Automation & ReportingDow Jones is seeking a Manager for the global Automation & Reporting team to lead a group of skilled Technical Analysts dedicated to data insights. This team builds robust reporting capabilities, data models, and analytics solutions that help partners analyze high volumes of data across Dow Jones products. As the Manager you will oversee the development of full reporting and analytics solutions using SQL, Python, and modern Business Intelligence tools, vetting team solutions, managing workload distribution, and mentoring analysts on translating complex business requirements into high‑impact visual deliverables and reports.Responsibilities
Team Leadership & Development:
Manage and mentor a general team of Technical Analysts, fostering professional growth, organizing the development backlog, setting clear priorities, and determining resource requirements.Technical Oversight & Solution Design:
Propose and vet reporting solutions for optimal efficacy, ensuring they meet high standards for data processing and accuracy. Improve development standards, ensuring clean, readable code and highly optimized SQL queries.Dashboard & ETL Delivery:
Oversee ETL development and create dynamic visualization dashboards that support critical business processes and decision‑making.Stakeholder & Project Management:
Manage a portfolio of reporting solutions, communicate progress and blockers effectively to project sponsors and senior leadership, balance tactical goals with a strategic focus, and act as a hands‑on contributor when necessary to ensure project delivery.Qualifications
5+ years of dedicated experience in data analytics and reporting, with deep, hands‑on proficiency in SQL and Python for data extraction, manipulation,



and advanced analysis.Strong practical experience working with modern cloud data warehouses, specifically GCP BigQuery and/or AWS Glue and Athena.Experience designing or managing data processing workflows leveraging cloud services such as AWS (S3, Athena, Glue) and GCP (Cloud Storage) and familiarity with data transformation and orchestration tools (e.G., dbt, Apache Airflow).Proven expertise in translating complex datasets into actionable insights using enterprise BI platforms such as Looker, Tableau, and PowerBI.Delivery & communication: Proven track record of delivering data projects through Agile practices. Exceptional communication skills, bridging technical analysts and non‑technical stakeholders.Familiarity with version control systems (Git) and adoption of AI‑assisted development tools (Copilot, Claude) to enhance team productivity.Compensation & Benefits
Base Pay Range:
€55,000 – €70,000 (depending on experience, skills, location, and other factors). Bonus‑eligible roles have targets determined by market benchmarks and individual contributions. Benefits‑eligible roles receive a comprehensive package covering health, retirement, wellbeing, and additional optional benefits.Comprehensive Insurance PlansPension PlanMeal VouchersPaid Time OffEmployee Referral ProgramFitness Reimbursement ProgramEqual Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and interview process. If you need assistance or accommodation, email us at Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need.

📌 Manager, Automation (Madrid)
🏢 Dow Jones
📍 Madrid

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