Weekly KPIs Report
Theme
Data Analysis
Data Analyst profile focused on KPI systems, LTV and cohort analysis, budget allocation, dashboards, and analytics automation with Python and SQL.
16 articles on this theme
Data
Operational reports that drive profitable choices
Prioritising a List You Cannot Agree On: 5 Ranking Methods Compared
Compare pairwise ranking, weighted scoring, MoSCoW, RICE, and Productboard to choose a method that fits your list, evidence, and decision.
How to Document a CSV: 5 Ways to Build a Data Dictionary Compared
Compare five ways to build a CSV data dictionary, from a spreadsheet and pandas to dbt, Atlan and a browser tool, tested on the same export.
Good Tracking Architecture Starts With One Source of Truth
A practical framework for building clean tracking architecture where each tool has a clear role, attribution has one owner, and reporting disagreements become explainable instead of political.
Do You Need Old Affiliate Data?
A practical decision framework for operators migrating affiliate software: what history can stay in an archive, what breaks if it does, and when native continuity still matters.
Dirty Excel, Clear Decisions
How to turn messy spreadsheet exports into a trusted reporting layer, a clear decision table, and an AI-assisted brief leadership can actually use.
Why Dashboards Fail
Why dashboards fail before anyone opens them, what business teams get wrong upstream, and where AI actually helps turn reporting requests into decision-ready tools.
Reporting engagement — are you paying attention?
A case study on how engagement reporting changed the interpretation of Magic6 from an acquisition tool into a repeat-activity system.
You’re Scaling the Wrong Customers (Until You Measure Retention)
How retention marketing reporting connects acquisition channels to real long-term value and changes business decisions.
You’re Missing Half Your Data. Here’s Why That’s Fine.
Why acquisition reporting is never complete, and how to build a system that still drives decisions.
Retention Marketing Reporting: How to Actually Measure Customer Value
A practical guide to building retention marketing reporting using waterfall tables, retention curves, and CLTV to understand real customer value.
Reactivation Looks Good Until You See Who Came Back
Why reactivation campaigns only become useful when you measure player quality, segment efficiency, and real activity instead of just return counts.
Building a Data-Driven Mindset
How one trusted insight changed the way reporting was used and turned a weekly dashboard into a tool for exploration and better decisions.
Reporting Marketing Mix: From Dirty Excel to Decision-Ready Insights
How fragmented marketing data was cleaned, structured, and transformed into a usable reporting system and Power BI dashboard for acquisition, retention, engagement, and reactivation.
Marketing Budget Reporting for Digital Businesses
A practical explanation of how digital businesses connect acquisition cost, retention, and customer revenue to build reliable marketing budgets.
Why Payment Approval Rates Can Be Misleading
Approval ratio can hide the real payment story.
Weekly Reporting Routines That Turn Data Into Budget Decisions
Reports matter only when they change action.
Other themes
Credentials
Relevant learning for Data Analyst
Power BI
Professional certificate
SQL
Professional certificate
Python
Professional certificate
Advanced Excel
Professional certificate
Google Data Analytics Certificate
Professional certificate
Google Business Intelligence Certificate
Professional certificate
Google Analytics 4
Professional certificate
Google Tag Manager
Professional certificate
FAQ
Quick answers for Data Analyst
Focused answers for this role page. Open only what you need.
What kind of reporting work do you focus on?
I focus on KPI systems, budget reporting, retention views, cohort logic, and reporting routines that help teams decide what to change next.
Which tools do you use for analytics?
My practical stack includes Excel, Power BI, SQL, Python, GA4, GTM, Looker Studio, and source exports from business platforms.
How do you make dashboards useful for business decisions?
I start from the decision, not the chart. A good report should show what changed, why it matters, and which action the team should consider.
Do you automate reporting work?
Yes. I use automation when repeated manual reporting creates delays, errors, or unnecessary dependency on one person.
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