{"id":254347,"date":"2026-07-13T03:28:17","date_gmt":"2026-07-13T00:28:17","guid":{"rendered":"https:\/\/1kitap1.com\/en\/beyond-the-interview-alex-freberg\/"},"modified":"2026-07-13T03:28:17","modified_gmt":"2026-07-13T00:28:17","slug":"beyond-the-interview-alex-freberg","status":"publish","type":"post","link":"https:\/\/1kitap1.com\/en\/beyond-the-interview-alex-freberg\/","title":{"rendered":"Beyond The Interview – Alex Freberg"},"content":{"rendered":"
\"<\/figure>\n

A single accent color on the metric that matters most helps users find it instantly. Using six colors because your BI tool supports them just creates noise. Sometimes this isn\u2019t easy when you have to use company templates, but do your best! Make it scannable in 30 seconds. A good dashboard should communicate its main message to someone who glances at it while walking past a screen. If it takes five minutes of careful reading to extract the insight, it\u2019s far too complicated.<\/p>\n

Label directly. Don\u2019t make users look back and forth between a chart and a legend. Label data points and series directly on the chart wherever possible. Match the decision cadence. A daily operational dashboard needs to update daily. A quarterly strategy dashboard doesn\u2019t need hourly refresh. Mismatched cadence is a common source of user frustration. \u201cI used to go all out on Dashboards. All the fancy stuff, really trying to show what I could do, but that wasn\u2019t very wise. I learned quickly that wasn\u2019t what anyone wanted.<\/p>\n

I like to follow the K.I.S.S. principle these days. \u201cKeep it Simple Stupid. Great advice, hurts my feelings every time.\u201d\u2014Dwight Schrute. I really do though! I try to make things as simple as possible and if it\u2019s too simple or filters need to be added I\u2019ll go from there.\u201d The two-layer dashboard For most use cases, a two-layer structure works well: Layer 1 (top of the page): One to three key metrics.<\/p>\n

The most important numbers the audience needs to answer their primary question. If something is wrong, it\u2019s obvious here. Layer 2 (below the fold): Supporting detail. Trend lines, breakdowns by segment, context that helps users understand why the top-line numbers look the way they do. Users who need it dig in.<\/p>\n

Users who don\u2019t, won\u2019t. This structure works because it respects two types of users. the executive who skims and decides, and the analyst who needs to understand the drivers.<\/p>\n

\n

\u00a9 2026 Alex Analytics LLC. All rights reserved. No part of this book may be reproduced, distributed, or transmitted in any form or by any means without the prior written permission of the author. First Edition: 2026 ISBN: 979-8-9956367-2-4 alextheanalystyt@gmail.com www.alextheanalyst.com 1kitap1.com\/en Beyond the Interview Building Your Data Career By Alex Freberg 1kitap1.com\/en Introduction You\u2019re probably feeling some combination of excitement and terror right now, and that\u2019s completely normal. You\u2019ve spent months perfecting your resume, practicing your SQL queries, and preparing for behavioral questions.<\/p>\n

You nailed the interviews. And now you\u2019re sitting at your new desk – you get your first Teams message, and you\u2019re thinking, \u201cWhat am I actually supposed to do?\u201d This book isn\u2019t about SQL syntax or dashboard best practices. There are a thousand tutorials for that (many of which I\u2019ve made!). This book is about the part of the job that nobody really talks about in interviews. How to actually survive and thrive in a data role once you\u2019re already inside the company. How to earn trust. How to deliver work that matters.<\/p>\n

How to grow without burning out. How to handle the imposter voice that shows up when you\u2019re about to present in front of the CEO. When I got my first data job, I had very little technical skills. I knew some Excel and basic… very basic SQL. But bigger than that I didn\u2019t know how to navigate the politics of a stakeholder who wanted something completely different from what they asked for. I didn\u2019t know how to say no to a request without destroying my reputation.<\/p>\n

I didn\u2019t know that getting the right answer was worth less than getting an answer the business actually trusted. I learned most of these lessons the hard way, through mistakes, late nights, and a lot of awkward conversations. This book is structured around three things: your first 90 days, delivering real work, and growing your career. Each chapter focuses on a specific problem you\u2019ll really face (and that I faced many times), with extremely practical advice you will hopefully use for a long time.<\/p>\n

You\u2019re going to do great. You\u2019re going to have moments where you feel completely lost. You\u2019re going to ship work you\u2019re proud of and work that\u2019s just not good. You\u2019re going to build relationships that matter and navigate some truly awkward conversations. By the end, you\u2019ll understand that a data career isn\u2019t just about being technically competent. It\u2019s about earning trust, communicating clearly, and helping your organization make better decisions.<\/p>\n

Let\u2019s get started. 1kitap1.com\/en PART I Your First 90 Days The foundation of your entire career at this company starts right now. 1kitap1.com\/en Chapter 1 Your First 30\/60\/90 Day Plan Your first 90 days in a data role are not a test of how smart you are. They\u2019re a test of whether you can earn trust. That\u2019s a different problem, and it requires a different strategy.<\/p>\n<\/blockquote>\n

This is a short excerpt from the opening of “” by Unknown, quoted for review and introduction purposes. All rights belong to the copyright holders.<\/em><\/p>\n

\n
\n

Table of Contents<\/p>\nToggle<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n