During my time supporting quarterly marketing and sales planning, I was responsible for overseeing and validating targets and budget allocation, program strategies, and then ensuring their successful implementation along the quarter. A process known as building and executing the Playbook in the tech industry. To effectively support this mission, I had to develop a 360°…
Author: Marine Morales
Crack your Case Like an FBI Analyst: Build a Bulletproof Analysis
The other night, I was watching Law & Order SVU when a scene cut to Morales, the analyst. It was funny, because that’s my name too … Well the analyst was briefing the team on critical data he’d pulled from a suspect’s USB key. It was an Excel spreadsheet. But Morales didn’t just dump a…
Webs or Tentacles? Why Data Analysts Should Ditch the Spider Mindset for an Octopus Brain
I’m not a big comic book fan, but the other night, I was rewatching the first Spider-Man trilogy with Tobey Maguire — the only Spider-Man trilogy Millenials will aknowledge. And while I enjoyed the nostalgia, one thing kept bothering me: Doctor Octopus should have won. Think about it. He had four extra mechanical limbs, allowing…
Financial Analysis To-Go: No Fluff, Just Liquidity Ratios
Ok, you’re in HQ, coffee in one hand, phone buzzing in the other. The Quarterly Business Review (QBR) is in full swing, and the execs are flashing financial results on the big screen live. No time to blink. Your boss leans in: “So… we need to brief the team after the QBR. Can we pay…
How MarTech & RevOps Achieve Operational Excellence
When you start working as a data analyst, you expect your role to be clear-cut—transform raw data into actionable insights, build dashboards, and uncover trends that guide decision-making. What you don’t expect is just how closely you’ll end up working with MarTech and RevOps—until, little by little, you find yourself doing their job too. At…
My All Hands Rosetta Stone : Defining B2B Core Business Objectives & Missions
I’ve attended numerous Town Halls, All Hands meetings, Annual Strategy Summits and Quarterly Business Reviews in large corporations. The purpose of these meetings was to update and align the entire company on high-level goals, performance, and strategic priorities. The problem is that each meeting was usually outlining their own version of the four pillars of…
My Go-To Tech Stack Recipes for Building Practical Data Science Solutions
In competitive industries like Tech SaaS and Finance, data isn’t just an asset, it’s the engine behind every strategic move. As a Data & Business Intelligence (BI) Analyst, I specialize in designing scalable, automated, and stakeholder-facing analytics workflows that transform complex data into business insight. A strong analytics workflow seamlessly integrates data extraction, transformation, modeling,…
Defining Your Analytical Role: Planning vs. Running the Business
In every organization, success hinges on the ability to balance visionary strategic planning with effective day-to-day execution. This article aims to clearly delineate the two critical pillars of organizational success: business planning and business execution, represented respectively by decision-makers [1] and contributors [2]. Decision-makers shape the future by defining the vision, mission, and strategy, while…
Exploring Essential KPIs and Tactics in Data Analytics
In the dynamic world of data analysis, a Data Analyst plays a pivotal role in steering a company towards success. The primary goal of a Data Analyst is to provide actionable insights based on data to improve performance. His responsibilities span a broad spectrum, encompassing performance assessment, future performance forecasting, target development, and the shaping…
Mastering the Art of Data Engineering: A Step-by-Step Guide to Building Robust Data Systems
A Data Engineer (DE) is responsible for building a robust data environment by developping and maintening scalable databases, data pipelines and architectures. He focuses on the infrastructure and mechanics of data handling, ensuring that data is properly collected, stored, processed and made accessible for various analytical and operational needs. By enabling efficient data analysis, the…