We are looking for a skilled Data Analyst to join our Business Process & Intelligence team. In this role, you will help us make smarter business decisions by looking at the facts rather than relying on guesses. Your main focus will be analyzing key performance metrics and working with our Senior Data Analyst to turn raw numbers into clear, useful insights for our leadership team. We need someone who is great at solving problems, knows how to handle data using tools like Python, and cares deeply about accuracy. If you want to help our company build a strategy based on reliable data, we want to hear from you.
Qualifications
- Analyze and interpret key business metrics to help our management team understand performance trends.
- Turn complex data patterns into clear, simple stories that explain what is happening and how we can improve.
- Go beyond basic reporting to find hidden opportunities, risks, and drivers within the data.
- Collect, clean, and organize data from different sources to prepare it for analysis.
- Use SQL and Python to handle complex data tasks and automate repetitive reporting work.
- Act as a champion for data quality, working with engineering teams to ensure our numbers are accurate and trustworthy.
- Execute projects with a mix of independence and guidance from the Senior Analyst.
- Learn the details of our business model to ensure your analysis is always relevant to our goals.
- Communicate your findings clearly to team members and other departments to help solve problems.
Qualifications
- 2 to 5 years of experience in a Data Analyst, BI Analyst, or similar role.
- Proven ability to manage and organize large, complex sets of data.
- Strong technical skills in SQL for querying and retrieving data.
- Experience using Python (or similar languages) for cleaning and analyzing data is preferred.
- Strong critical thinking skills with the ability to challenge assumptions and plan for long-term data needs.
- Excellent written and verbal communication skills, especially when explaining complex numbers to non-technical people.
- Ability to follow directions, complete tasks effectively, and know when to ask for help.
- Bachelor’s degree or equivalent experience in fields like Data Science, Statistics, Mathematics, or Computer Science.
What you can expect:
- Hybrid position (1-2 days on-site, 3-4 days home office)
- Workplace Computer Equipment
- IMSS (Mexican Social Security Institute)
- 30 days of Christmas bonus (Aguinaldo)
- 16 days of vacation after the first year
- Life Insurance
- Major Medical Expense Insurance
- 9% Food Stamps
- 13% Savings Fund
- 50% Vacation Bonus
Additional Information
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
About the Company
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.
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