Analytics & Insights Specialist

🔥 30 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Multiplica

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🤝 B2B

📣 Marketing

Consulting • B2B • Marketing

Multiplica is a global digital consultancy that helps companies convert insights into high-impact digital products, experiences and services. With about 25 years in the market and multiple offices across Europe and Latin America, Multiplica combines product strategy, user experience design, technology, data and applied artificial intelligence to drive digital transformation. Their offerings include experience and product design, product development, enterprise AI, process automation and back-office modernization, growth marketing (personalization, CRO, engagement & monetization), and talent solutions such as staff augmentation and POD teams. They position themselves as partners to enterprises to accelerate adoption, optimize operations and generate measurable business value.

📋 Description

• Design and execute advanced analyses on user digital behavior, campaign performance, and conversion funnels to identify patterns, opportunities, and risks. • Generate actionable insights that answer strategic business questions and translate into concrete recommendations for Marketing, Product, and Commercial teams. • Build data storytelling narratives that connect analytical findings to business decisions, tailoring the message to technical, managerial, and executive audiences. • Define KPIs, measurement frameworks, and attribution models that holistically evaluate the performance of the digital ecosystem. • Build and maintain robust data pipelines in BigQuery from sources such as GA4, CRM, media platforms, and transactional databases. • Design efficient, optimized SQL queries on large-scale tables, including Google Analytics 4 export tables (events_*). • Collaborate with Data Engineering teams on data modeling, quality, governance, and availability across GCP and AWS environments. • Design and maintain executive dashboards in Looker Studio (or other BI tools) that deliver clear, timely, and actionable information to stakeholders. • Present findings to C-level audiences, translating complex technical analyses into simple, actionable, business-oriented messages. • Document methodologies, assumptions, and analytical limitations to ensure transparency and reproducibility. • Act as a technical reference within the Analytics & Insights team, supporting junior analysts on best practices in SQL, Python, and modeling. • Collaborate with regional teams across multiple markets, understanding local nuances and consolidating learnings at a regional level. • Promote a data-driven culture, advocating for the responsible use of data and experimentation as a driver of decision-making.

🎯 Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Engineering, Economics, Mathematics, Industrial Engineering, or related fields. • Relevant certifications are a plus: Google Analytics, Google Cloud (Data Engineer / Data Analyst), AWS (Data Analytics), or equivalents. • Experience in advanced analytics, data science, or business intelligence roles, preferably in digital, telecommunications, e-commerce, or media industries. • Demonstrated experience leading end-to-end analytics projects: from problem definition to implementation and communication of results. • Experience in regional or multinational environments is a strong plus. • Google Analytics 4 (GA4): configuration, implementation, advanced analysis, and BigQuery export (events_*, intraday tables, event parameters, attribution). • BigQuery / Advanced SQL: designing efficient queries, window functions, partitioning, cost optimization, and integration with GA4 and transactional data. • AWS: hands-on experience with data services such as S3, Athena, Glue, Redshift, or equivalents. • Python: data manipulation (pandas, numpy), visualization (matplotlib, seaborn, plotly), and modeling (scikit-learn, statsmodels). • Machine Learning: command of supervised and unsupervised algorithms (regression, classification, clustering), model validation, performance metrics, and experimentation. • Digital Marketing: deep understanding of the digital ecosystem (paid media, SEO, CRM, CRO, attribution, conversion funnels, customer journey). • Data Visualization: Looker Studio, Power BI, Tableau, or similar tools. • Nice-to-Have Skills: Experience with dbt, Airflow, or other orchestration and analytics modeling tools. • Knowledge of experimentation platforms, CRO tools (Microsoft Clarity, Hotjar, Optimizely), and behavior analytics. • Familiarity with causal inference frameworks (CausalImpact, DiD, propensity scoring). • Experience with generative AI tools applied to analytics and productivity. • Analytical & critical thinking: ability to break down complex problems and draw rigorous conclusions from data. • Insight generation: ability to go beyond the metric and deliver the why and the so-what. • Data storytelling: ability to tell stories with data, structuring clear and persuasive narratives for different audiences. • Business orientation: understanding of the commercial impact of analyses and focus on generating measurable value. • Effective communication: ability to explain technical concepts simply to non-technical audiences. • Autonomy & proactivity: ability to identify analytical opportunities without detailed instructions. • Collaboration: effective work with multidisciplinary, multicultural teams. • English: intermediate to advanced (B1/B2) — able to lead meetings, presentations, and produce technical documentation in English.

🏖️ Benefits

• Proyecto de 3 meses • Pago por honorarios