Seeking a Senior Data Analyst for the Business Process & Intelligence team. You will drive data-backed strategic decisions by performing in-depth analysis of key metrics and KPIs. This role requires strong analytical skills, Python expertise, and a commitment to ensuring high data quality for senior leadership and process improvement initiatives.
Responsibilities:
- Lead the in-depth analysis and interpretation of key business metrics (KPIs) for executive and management teams.
- Translate complex metric trends and anomalies into clear, actionable narratives to inform business strategy and process improvements.
- Proactively identify hidden drivers, risks, and opportunities within the data, moving beyond standard reporting.
- Independently collect, transform, and clean data from various sources for analysis.
- Utilize advanced programming (Python preferred) and SQL for complex data manipulation and task automation.
- Champion data quality and integrity, collaborating with data-owning teams to ensure analysis is objective and high-quality.
- Serve as the analytical backbone for process improvement projects, ensuring proposed changes are measurable.
- Apply strong business acumen to ensure all analytical efforts directly address strategic company goals.
- Work autonomously on complex analytical tasks, demonstrating strong ownership and maintaining stakeholder alignment.
Qualifications
- A minimum of +5 years of progressive experience in the area of Data Analyst, BI Analyst, or similar analytically focused role.
- A minimum of +2 years leadering teams.
- Proven expertise in manipulating and transforming large, complex data sets.
- Strong technical proficiency in SQL for querying and data retrieval.
- Demonstrated experience using Python (or similar programming languages) for data wrangling, cleaning, and analysis is preferred.
- Exceptional analytical thinking and critical thinking skills with a proven ability to challenge assumptions and think forward about long-term data needs.
- Excellent verbal and written communication skills, with the ability to effectively simplify and present complex quantitative findings to non-technical audiences.
- Bachelor’s degree or equivalent experience in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science; advanced degree or certifications preferred.
What you can expect:
- Hybrid position (1 days on-site, 4 days home office)
- Workplace Computer Equipment
- IMSS (Mexican Social Security Institute)
- 30 days of Christmas bonus (Aguinaldo)
- 12 days of vacation after the first year
- Life Insurance
- Major Medical Expense Insurance
- 9% Food Stamps
- 13% Savings Fund
- 50% Vacation Bonus
#LI-Hybrid
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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