SENIOR DATA ANALYST · DATA AUTOMATION

Turning data
into decisions.

I build analytics solutions that connect data, automation and business performance — from raw data pipelines to decision-ready dashboards.

LinkedIn
PROFILE2026
Data × Business
× Automation
Soukeyna Niang — Senior Data Analyst
DATA · BUSINESS · AUTOMATION

Analytics should
solve problems.

I am a results-driven Data Analyst with around 10 years of experience across banking, automotive and quick-service restaurant industries. I specialize in transforming complex data into clear insights that support strategic and operational decisions.

I am passionate about data automation, performance reporting and building user-friendly dashboards that help teams track key metrics, identify opportunities and drive continuous improvement.

10+Years of experience
1,000+Managers reached
Power BI · SQL · PythonCore technologies
Analytics & AutomationAreas of expertise

Data analytics across business environments.

01 / BANKING

Banking

Financial data and analytical reporting

02 / AUTOMOTIVE

Automotive

Business performance and data analysis

03 / INTERNATIONAL

International organizations

Data analysis in an international environment

04 / QUICK SERVICE

Restaurant operations

Network performance, dashboards and automation

03 PROJECTS
01

Power BI

DAX · Power Query · Data Modelling

02

SQL

MS SQL Server · Snowflake

03

Python

Automation · Pandas · Scikit-learn

04

Data Automation

Alteryx · Python · Power Automate

05

Business Analytics

KPI design · Reporting · Performance analysis

06

Forecasting

ARIMA · SARIMA · Predictive analytics

CURRENT / RECENT

Finance & Planning
Data & Governance

Data Analyst working on financial and operational analytics, reporting, automation and data governance. Built and automated reporting solutions used across a large restaurant network.

Reporting process time reduced by 90% through Python automation.

Companies I’ve worked with

I’ve had the opportunity to work across banking, automotive, international organizations and quick-service restaurants.

Let's build something
useful with data.