Remove Artificial Inteligence Remove Looker Remove Technical Review
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The ultimate marketing technology stack for 2019

Intercom, Inc.

Known as the Martech 5000 — nicknamed after the 5,000 companies that were competing in the global marketing technology space in 2017, it’s said to be the most frequently shared slide of all time. Marketing technology is now the largest portion of total marketing budget (29% on average according to Gartner ).

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How to Build Your Dream Analytics Stack

Indicative

What Technology Do You Need in Your Stack? As technology develops, analytics stacks become easier to set up, manage, and scale. The technology you choose will help you navigate your business into the future. However, due to greater flexibility, more engineering investment is required during setup and maintenance.

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Product Operations: Unlock Your Product Team’s Full Potential

The Product Coalition

Create templates for status updates and quarterly reviews. This function is responsible for establishing data pipelines to gather user issues and machine learning models to quickly identify and root cause top issues at scale. Knowledge bases. Create wikis and gather relevant information to capture tribal knowledge.

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Data Analyst Resume Guide and Templates

PMLesson's Ace the PM Interview

✅ This guide was written by Alex Reyes , a senior technical recruiter with 20+ years of experience. Includes : Real take-home case studies, technical and dashboarding skills, and strategies from interviewers at top tech companies. ✅ Technical depth and business acumen demonstrated throughout.

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Ace Your Data Engineering Interview (2025 Guide)

PMLesson's Ace the PM Interview

Reviewed by Deeptaanshu Kumar, a VP of data engineering (ex-Capital One, Freddie Mac). This guide breaks down the data engineering interview process into digestible sections—from recruiter screens to technical assessments. Mock interviews, technical deep-dives, and practice questions.

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Data Analyst Interview Prep (2025 Guide)

PMLesson's Ace the PM Interview

Top tech companies like Meta , Amazon , and Google consistently look for analysts who can: Think critically about business problems, Communicate clearly with cross-functional teams, Use tools like SQL , Excel, dashboards, and statistics to uncover insights. 📌 Tip : Prepare to talk about your technical toolkit just in case.