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Emmanuel Kipkoech

@emmanuelkipkoech

Message

Remote-ready Data Analyst transforming large datasets into actionable business insights.

Kenya

Message

What I'm looking for

I’m looking to build self-service dashboards and performance analytics that improve decision-making—using SQL, Python, and Power BI—while working in a remote, async-friendly environment focused on data accuracy, validation, and measurable business impact.

I’m a remote-ready Data Analyst with hands-on experience turning large-scale datasets into actionable business insights, self-service dashboards, and performance analytics. I’m proficient in SQL, Python, and Power BI, and I focus on decisions and outcomes—not just data outputs.

Across my independent projects, I’ve engineered KPI tracking and forecasting improvements, including a 38% increase in forecast accuracy through enhanced data modeling and validation workflows. I’ve analyzed 397,000+ transaction records to uncover behavioral patterns, churn drivers, and retention opportunities, translating complex findings into stakeholder-ready insights.

I’m comfortable working independently in fast-paced remote environments, communicating clearly with non-technical stakeholders, and collaborating asynchronously across time zones. I build robust ETL/ELT-style analytical workflows with strong data quality practices, so dashboards and reports achieve consistent, accurate results.

Experience

Work history, roles, and key accomplishments

Current

Revenue Analytics Dashboarding

Current

Independent Portfolio

Jan 2024 - Present (2 years 3 months)

Built end-to-end Power BI dashboards from raw datasets (100K+ rows) to enable business-wide self-service reporting. Improved forecast accuracy by 38% through enhanced data modeling and validation workflows.

SQL NumPy Power BI DAX Data Modeling Forecasting Data Validation ETL

Current

Customer Behavior & Segmentation

Current

Independent Portfolio

Jan 2024 - Present (2 years 3 months)

Analyzed 397,000+ transaction records using SQL and Python to uncover behavioral patterns, churn drivers, and retention opportunities. Delivered interactive cohort and KPI dashboards and supported ad hoc business questions with clear, stakeholder-ready insights.

SQL Python NumPy Power BI DAX Cohort Analysis Segmentation Data Visualization Ad hoc Analysis

Retail Operational & Performance

Independent Portfolio

Jan 2023 - Jan 2024 (1 year)

Analyzed a $13M+ retail dataset using SQL and Power BI to identify margin inefficiencies and operational performance gaps. Designed PostgreSQL aggregate tables and automated recurring reporting with metric validation to maintain consistent data integrity.

SQL Python Power BI PostgreSQL Data Modeling ETL ELT Data Aggregation Data Quality Assurance

Scenario & Sensitivity Decision Modeling

Independent Portfolio

Jan 2023 - Jan 2024 (1 year)

Developed scenario and sensitivity models in Python and Excel to evaluate business outcomes under variable market conditions. Built Power BI what-if dashboards that enabled stakeholders to stress-test assumptions and support strategic planning decisions.

Python Power BI DAX Scenario Modeling Sensitivity Analysis Predictive Analytics Data Validation Decision Support