20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You usually split time between data work and creative tasks. Morning might be checking dashboards in Amazon Redshift or your BI tool, tracking campaign metrics and customer behaviour trends. Afternoon can be meetings: presenting findings to stakeholders, planning tests, or creating product positioning slides in Canva for management.
You’ll also write short reports and prepare visuals (graphs, tables) to explain results, set up experiments or surveys in Asana for the team, and review competitor activity to decide the next test or ad need.
Expect three real tools: Amazon Redshift for storing and querying large user and sales data; Canva for fast presentation and ad creative mockups; and Asana for task tracking and coordinating surveys or experiments.
Redshift gets you raw numbers for statistical analysis; Canva turns data into visuals and management slides; Asana keeps the team on schedule for A/B tests, survey fieldwork, and campaign launches.
Use AI to draft survey questions, summarize market research, or create first-pass presentation copy, but always check facts. For surveys, verify wording yourself so questions don’t bias answers. For insights, confirm models with actual queries in Redshift or basic stats.
Never paste sensitive customer data into public AI tools. Keep raw data and personally identifiable information inside your company systems, and use AI only for editing, brainstorming, or generating visuals that you then validate.
Pay varies by location and company stage. Entry or junior growth marketers often start in a local-market range (look up salary sites for your city), while experienced growth leads at scale-ups or tech firms are much higher. Use the job’s SOC code (13-1161.00) and local salary databases to get exact numbers.
Instead of promises, check company postings and salary sites, and ask recruiters for base salary plus variable pay tied to metrics like user growth or retention.
Learn three things: basic SQL to query Redshift, basic statistics for A/B testing, and simple design skills in Canva for presentations. Take short online courses focused on SQL, statistics for experiments, and a Canva tutorial.
Practice by running small projects: design a simple survey, collect responses, analyse results with SQL or a spreadsheet, and present findings in Canva. Use Asana to simulate project management.
A growth marketer focuses on measurable user acquisition, activation, retention and uses data (Redshift, surveys) to run experiments and scale channels. They track metrics daily, design tests, and define ways to reach users.
A product marketer focuses more on messaging, positioning, and sales enablement—creating launch decks, product collateral, and competitive positioning. Both create presentations in Canva, but growth marketing is more experiment-and-data-driven.
Prioritize SQL querying (so you can pull data from Redshift), basic statistical testing (t-tests, confidence intervals for A/B tests), and survey design (how to write unbiased questions). These skills let you measure and assess customer behaviour and satisfaction.
Second, practice turning data into clear reports and visuals in Canva and managing tasks in Asana—those show you can present findings to stakeholders and run experiments end-to-end.