When you work as a data analyst, a lot of time you will try to understand your customers so that you can target them effectively, improve their experience, improve marketing strategies, and much more. 𝗟𝗲𝘁 𝗺𝗲 𝗴𝗶𝘃𝗲 𝘆𝗼𝘂 𝘀𝗼𝗺𝗲 𝗯𝗮𝘀𝗶𝗰 𝗮𝗱𝘃𝗶𝗰𝗲 𝘁𝗵𝗮𝘁 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘂𝘀𝗲𝗳𝘂𝗹 𝗶𝗻 𝘁𝗵𝗶𝘀: • Perform EDA to understand key customer behavior such as purchases according to regions, age, gender, and more. This will allow you to have a high level of understanding about customers. • Then try to group customers according to age (creating age groups), region, gender, and more. • Now, analyze some important business metrics such as their membership tier, ratings, complaints, average spend, delivery timelines, and more. • Now, try to combine customer variables with these key metrics such as: 1. Membership tier for each age group. 2. Segment customers according to complaints and age groups or regions. 3. Understand the satisfaction score given by customers who had complaints (you can create categorical variables for satisfaction scores such as "Bad", "Good" or "Excellent"). 4. Then you can also dive deep into delivery timelines for different regions so that delivery time can be improved and more. These are just some basic instances and how deep you can go into customer behavior actually depends upon how many crucial variables you have. Enjoy. Follow for more! #DataAnalyst #CustomerInsights #CustomerBehavior #DataAnalytics #CustomerExperience #CustomerSegmentation #CustomerSatisfaction #DataExploration #DataDriven #BusinessIntelligence #DataAnalysisTips #EDA #DataScience #TargetedMarketing #AnalyticsForBusiness #MarketAnalysis #CustomerJourney #AnalyticsCommunity #GlobalDataInsights #USDataProfessionals #UKAnalytics #EuropeDataScience #EUDataExperts #AnalyticsUK #USEmployment #GlobalAnalytics #WorldwideAnalytics #DataUSA #AnalyticsUK #EUDataAnalytics #UKDataCommunity #USDataScience #EUAnalytics #UKTechJobs #EuropeAnalytics #DataCareersUK #USAnalyticsJobs #DataInsightsEurope #GlobalDataCommunity #USDataProfessionals #UKHiring #DataAnalystEurope #EuropeDataJobs #GlobalTechCareers #WorldwideDataScience