Senior Data Analyst I

SmartRecruiters, Inc.; Región Centro; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Nielsen is seeking a Senior Data Analyst to transform complex data into actionable operations, leveraging AI-driven analytics within panel operations. You will monitor performance, design intelligent workflows, and ensure data quality while collaborating across teams to drive improvements.

Ideal candidates bring expertise in SQL, Python, and BI tools, plus fluency in English and Spanish, with a hands-on mindset for continuous improvement and automation.

Formación

• Bachelor’s degree in data science, analytics, statistics, operations or equivalent hands‑on experience.
• Proficient with AI tools to write queries, summarize data, and automate workflows.
• Strong experience with SQL, Excel and data processing tools.
• Bilingual in English and Spanish.
• Hands-on experience with Python scripting.

Responsabilidades

• Monitor panel health and key operational metrics using AI insights.
• Design predictive models, scorecards and AI-assisted workflows to answer business questions.
• Validate data pipelines and ensure high data quality.
• Turn insights into actionable plans with clear milestones.
• Collaborate with cross-functional teams to resolve roadblocks and improve processes.
• Automate documentation and support audit readiness.

Conocimientos

AI tools

SQL

Excel

Python

Tableau

Alteryx

Google Data Studio

Bilingual English/Spanish

Educación

Data science related degree

Herramientas

Claude / ChatGPT / Enterprise LLMs

Descripción del empleo

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Are you passionate about turning complex data into real-world operational impact using cutting-edge technology? As our Senior Data Analyst, you’ll sit right at the heart of Nielsen's panel operations—connecting data, continuous improvement, and modern AI capability.

In this role, you’ll dive into panel performance, leverage AI tools to automate analytical workflows, spot potential risks before they happen, and collaborate with teams across the company to keep everything running smoothly. If you thrive on blending AI-driven analytics with hands‑on problem solving, we’d love to meet you!

What You'll Do Every Day

Keep Your Pulse on Panel Health: Monitor key operational metrics, leverage AI to dig into trends and root causes, and tackle potential risks early on.

Build Intelligent Workflows & Dashboards: Design intuitive scorecards, predictive models, and AI-assisted workflows to translate tricky business questions into clear, actionable recommendations.

Ensure High Data Quality: Validate data pipelines, spot logic issues, and create reliable forecasts using advanced analytical and AI tools that teams can count on.

Turn Insights Into Action: Create clear action plans with milestones and deliverables. Track service requests, troubleshoot issues, and follow through until problems are solved.

Collaborate Across Teams: Work closely with cross‑functional partners in Operations, Tech, Quality, Workforce Management, and beyond to resolve roadblocks and improve processes.

Champion Continuous Improvement: Automate documentation, support audit readiness, and share data story insights with both technical and non‑technical stakeholders in a friendly, virtual team setting.

Qualifications

What You Bring to the Team

Education & Background: A Bachelor’s degree in Data Science, Business Analytics, Statistics, Operations, or a related field (or equivalent hands‑on experience), plus experience analyzing operational, quality, or survey data.

AI & Technical Toolkit: Proficient with AI tools (such as Claude, ChatGPT, or Enterprise LLMs) to write queries, summarize data, and automate analytical workflows. Strong hands‑on experience with SQL, Excel, and modern data processing tools.

Bilingual Skills: Strong written and spoken communication in both English and Spanish.

Soft Skills: Great attention to detail, strong organization, and the natural ability to build relationships and influence colleagues without needing direct authority.

Experience using Claude or GitHub Copilot for data querying, Python scripting, or logic validation.

Experience with panel operations, audience measurement, or media research (like TAM or Audio measurement).

Hands‑on experience with Python, Tableau, Alteryx, or Google Data Studio.

Familiarity with data governance, UAT, ticketing systems, or supporting U.S.-based teams remotely.

What Success Looks Like You’ll know you’re thriving when your data analyses are sharp and automated, risks are caught early through smart AI workflows, team action plans are smoothly executed, and your cross‑functional teammates love partnering with you to solve complex operational challenges!

Additional Information

Nielsen is committed to maintaining a work environment free from any form of discrimination and harassment. Nielsen prohibits conduct that has the purpose or effect of interfering with terms or conditions of employment, or that creates an intimidating, hostile, or offensive work environment based on: race, skin color/national or ethnic origin/ancestry, religion/creed, physical or mental disability/medical condition/genetic information, pregnancy, marital status, sex/gender, gender identity/gender expression/sexual orientation, age, or any other characteristic protected by applicable law.

At Nielsen, we promote equal opportunities for all individuals and value a diverse and inclusive workplace.