Insights & Analytics Manager
Job description
About the role
The team drives data-led strategic growth for clients by shaping research and media insights.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Budgets for research and data projects are managed and controlled to align with client and business goals.
Client relationships are developed and strengthened to support trust, satisfaction, and long-term partnerships.
Data and media insights are translated into clear, actionable recommendations for stakeholders.
Media investment performance is analyzed to identify where, how, and why value is created.
Insights are presented to clients and stakeholders to support data-driven decision-making.
Requirements
7-10 years of commercial experience in media, media agencies, or market research contexts is required.
Full professional proficiency in English and Spanish is necessary for communication and deliverables.
A Bachelor's degree in Business Administration, Psychology, or a related field is required.
Budget management for research and data initiatives must be handled effectively.
Client negotiation, proposal closing, and relationship management skills are essential.
Presentation and communication abilities must confidently convey insights to clients and stakeholders.
Analytical thinking and commercial expertise are used to transform data into strategic opportunities.
Nice to have
Experience within media, media agencies, or market research environments is valued.
Skills & tools
The role uses business intelligence platforms, data analysis tools, and presentation software.
General knowledge of media measurement, audience insights, and marketing analytics applies to this role.
Practical notes
The position is based in Lima, Peru, with potential hybrid or remote arrangements as defined by policy.
Equal opportunity principles apply, and applications are reviewed without discrimination.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
Data-driven decision-making connects analytics with commercial outcomes in media environments.
Media operating units combine data, creativity, and partnerships to personalize customer experiences at scale.
Agentic marketing platforms and intelligence tools support insight generation and client communication.
Collaboration across global networks enables sharing of best practices and professional growth.
Continuous learning supports adaptation to evolving media measurement methods and technologies.
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.