Data Analyst

OCX

Madrid

Hybrid

EUR 36,000 - 54,000

Full time

11 days ago

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Benefits offered by this job

Temporary contract
Vacation days
Birthday off
Hybrid model
Salary negotiable

Job summary

OCX is seeking a mid-level Data Analyst to transform data into actionable insights across content production. You will develop dashboards, monitor KPIs, and lead productivity analysis to identify bottlenecks and efficiency gains.

The ideal candidate has 3–5 years of data analytics experience, strong SQL, and proficiency in Power BI, Airtable and Smartsheet, plus excellent communication to present results to stakeholders.

Qualifications

  • Bachelor's degree in Data Analytics or related field.
  • 3–5+ years of data analytics, BI, or operational analytics experience.
  • Advanced SQL proficiency and experience with BI tools.
  • Strong Excel skills and ability to build automated reporting.
  • Excellent communication and ability to explain data to non-technical audiences.

Responsibilities

  • Develop, maintain, and analyze dashboards and reports for content production metrics.
  • Monitor KPIs including productivity, throughput, cycle time, SLA, quality, and resource use.
  • Lead productivity analysis to identify bottlenecks and efficiency gains.
  • Translate data into insights and recommendations for strategic decisions.
  • Partner with Production, Operations, Business, and Solutions teams to define success metrics.
  • Perform root cause analysis to understand performance trends and action improvements.
  • Build forecasting models and capacity planning analyses for staffing and workload.
  • Identify automation opportunities and contribute to continuous improvement.
  • Present findings and executive summaries to leadership and stakeholders.

Skills

SQL
Power BI
Excel
Data visualization
Communication

Education

Bachelor's in Data Analytics

Tools

Airtable
Smartsheet

Job description

Who We Are

To achieve success in the world of global adaptation and production, you need more than just clear processes and smart technology, you need true craftsmen and women – people who care deeply about their clients’ brands and who work tirelessly to drive maximum cost savings for a client while ensuring that each brand’s story remains impactful as it travels around the world.

Job Description

At OCX, wehave been fortunate enough to assemble a team of the industry’s best craftspeople, each with a rich and robust background in advertising, adaptation and production.

OCX currently employs over 1000 full-time employees, operating in 120 countries with hubs in 17 strategic locations specializing in broadcast/video production, print production, digital production and global translation.

We are looking for a mid-level Data Analyst with 3-5 years of experience to support us by transforming data into actionable insights that improve productivity, quality, and business performance. This role will be responsible for analyzing operational and commercial metrics, identifying trends, providing recommendations to guide strategic decision-making, and leading productivity analysis across content production teams.

The ideal candidate combines strong analytical skills with business acumen and can effectively communicate insights to stakeholders at all levels.

Key Responsibilities
  • Develop, maintain, and analyze dashboards and reports that measure content production performance, operational efficiency, quality, and business impact.
  • Monitor key performance indicators (KPIs) including productivity, throughput, cycle time, SLA adherence, quality, and resource utilization.
  • Lead productivity analysis to identify improvement opportunities, bottlenecks, and efficiency gains across the content production workflow.
  • Translate complex data into clear insights and recommendations that support operational and strategic decision-making.
  • Partner with Production, Operations, Business and Solutions teams to define success metrics and measure initiatives.
  • Perform root cause analysis to understand performance trends and recommend corrective actions.
  • Build forecasting models and capacity planning analyses to support the production and traffic leads with resource allocation and workload management.
  • Identify automation opportunities and contribute to continuous improvement initiatives through data-driven recommendations.
  • Present findings and executive-level summaries to leadership and key stakeholders.
Required Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Analytics, or a related field.
  • 3–5+ years of experience in data analytics, business intelligence, or operational analytics.
  • Advanced proficiency in SQL.
  • Strong experience with BI tools such as Power BI, Airtable and Smartsheet.
  • Advanced Excel skills.
  • Experience working with large datasets and building automated reporting solutions.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to explain data to non-technical audiences.
Preferred Qualifications
  • Experience in content production environments.
  • Understanding of workflow optimization to support Operations with improvement suggestions.
  • Experience working in agile, cross-functional teams.
Success In This Role Will Be Measured By
  • Delivery of accurate, timely, and actionable reporting.
  • Improved visibility into operational performance through effective dashboards.
  • Identification and implementation of productivity improvement opportunities.
  • Data-driven recommendations that influence business and operational decisions.
  • Increased efficiency and optimization of the Content Factory production process.
  • High stakeholder satisfaction with analytics support and insights.
What We Offer
  • Temporary contract
  • Competitive salary, negotiable according to experience.
  • 23 working days of vacation (+ 2 long weekends of your choice).
  • Your birthday off!
  • Incorporation in a multinational company with high professional, economic and financial solvency that leads new, innovative and large-scale projects
  • #Hybrid model
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