Jack Natsagdorj
Data Analyst
Vancouver,BC
Summary
Detail-focused Data Analyst with 5 years of experience in data analytics and business intelligence. Proficient in SQL, Python, and Tableau, with expertise in ETL design and predictive modeling. A proactive problem-solver who thrives in fast-paced, Agile environments, collaborating with cross-functional teams to drive operational efficiency and innovation. Dedicated and hard-working with passion for extracting intuitive insights.
Overview
5
5
years of professional experience
4
4
years of post-secondary education
1
1
Certificate
3
3
Languages
Work History
Analyst, People Analytics
Vancouver Coastal Health
02.2022 - Current
- Led analytics initiatives, designing 18 interactive dashboards in Tableau to track workforce trends, employee engagement, and HR metrics
- Built 23 automated data pipelines in SQL and Data bricks, improving reporting efficiency and ensuring leadership had real-time visibility into workforce analytics
- Conducted survey analysis using SQL and Python, identifying key drivers of employee satisfaction and retention, leading to strategic decisions affecting approximately 500 new nurse hires.
- Across 233 data requests, partnered with cross-functional teams to enhance workforce analytics, aligning reporting with business needs and improving data accuracy
- Implemented automated reporting solutions and eliminated repetitive tasks, leading to 300 saved man-hours.
- Delivered high-quality data solutions (dashboard, presentations and visualizations) in high-pressure and ambiguous environments
- Conducted deep dive ad-hoc analyses to identify trends and support business planning efforts, ensuring data-driven decision-making
Data Analyst, Risk
AND Global
02.2020 - 01.2022
- Conducted data-driven fraud detection analyses, leveraging SQL and Python to identify suspicious transaction patterns and minimize financial risk, improving accuracy of detection models by 20%.
- Developed 11 interactive dashboards in Tableau to track financial KPIs, enhancing real-time monitoring and decision-making for fraud prevention
- Performed risk assessments and built fraud loss impact models to support business cases for new fraud prevention initiatives
- Partnered with finance and risk teams to implement fraud detection strategies, reducing fraudulent transactions by identifying high-risk behaviors
Education
Bachelor's degree - Mathematics
University of British Columbia
08.2016 - 08.2020
Skills
Tableau
Power BI
SQL
Snowflake
Python
Databricks
Salesforce
Azure tools
People Analytics
HR Data
Stakeholder Reporting
Fraud Detection
Anomaly Detection
Survey Analysis
Employee Engagement Metrics
Workforce Planning
Program Evaluation
Stakeholder Management
Data Storytelling
Agile methodologies
MySQL
Process improvement
Advanced Data Analysis
Google Workspace
Dashboard Development
MS Excel
Certification
Google Data Analytics
Accomplishments
- Achieved innovative reporting methods by spearheading an Organization Chart project that interactively mapped all 27'000 employees in my current organization.
- Significantly improved reporting compliance by introducing new geographical mapping to improve reporting accuracy.
Timeline
Google Data Analytics
02-2022
Analyst, People Analytics
Vancouver Coastal Health
02.2022 - Current
Data Analyst, Risk
AND Global
02.2020 - 01.2022
Bachelor's degree - Mathematics
University of British Columbia
08.2016 - 08.2020
Languages
English
French
Mongolian