Data Analysis

Sales & Marketing Reporting Layer

Kela Analytics · Data Analytics Engineer · Sep 2024 - Present

Read a deep dive into the problem, approach, and results.

The Problem

Sales and marketing teams were pulling data manually from multiple sources, leading to inconsistent reporting and slow decision-making. They needed a single source of truth with self-serve dashboarding.

My Approach

I designed a dimensional data model covering sales funnel stages, marketing attribution, and operational KPIs. Built on Redshift with dbt for transformations. Created Tableau dashboards serving 50+ concurrent users.

What I Built

  • Dimensional fact and dimension tables aligned with business processes
  • dbt models for repeatable, tested transformations
  • Tableau dashboards tracking campaign performance and revenue forecasts
  • Data lineage documentation for stakeholder transparency
  • Role-based access controls for different user personas

Impact & Results

50+
Concurrent users served
15
Key metrics tracked
99.5%
Uptime
85%
Data error reduction

Tech Stack

RedshiftdbtTableauDAXSQLDimensional Modeling

Want to discuss data architecture, pipelines, or analytics? Let's connect.