Hybrid Data Analyst — Dashboards, Insights & Productivity

OCX; Madrid; Hybrid; EUR 36,000 - 54,000; Full time

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

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.