Alex Rivera
Data Business Analyst
Profile
Insight-driven Data Business Analyst with a passion for turning raw data into actionable business insights. Skilled in data visualization, statistical modeling, and business process improvement. Experienced in using data analytics to guide business strategy, enhance operational performance, and support cross-functional decision-making. Adept at translating complex datasets into clear, business-oriented narratives for non-technical stakeholders.
Employment History
Data Business Analyst — Quantiv Analytics Inc.
New York • Jun 2023 — PRESENT- Collaborated with product and marketing teams to identify business KPIs and translate them into data dashboards using Power BI and Tableau.
- Extracted, cleaned, and analyzed large datasets from SQL databases and cloud warehouses (Snowflake).
- Delivered insights that optimized digital campaign targeting, increasing conversion rates by 18%.
- Automated weekly reporting pipelines in Python, saving over 12 hours per week in manual data processing.
- Partnered with finance teams to track ROI and revenue projections using statistical modeling techniques.
Data Analyst Intern — DataWorks Solutions
New York • Jan 2023 — May 2023- Built an Excel-based dashboard to visualize customer churn and retention patterns.
- Assisted in preparing monthly analytics reports for management and key stakeholders.
- Conducted exploratory data analysis (EDA) using Python and created visualizations for client presentations.
Education
New York University (NYU)
Bachelor of Science in Business Analytics — New York
May 2023 —GPA: 3.9/4.0
Relevant Coursework: Data Mining, Predictive Analytics, Business Intelligence, Machine Learning for Business
Activities
Member
Technical Skills
Data Tools & Programming
- SQL
- Python
- R
- Power BI
- Tableau
- Excel
- Snowflake
- Google BigQuery
Analytical & Business Skills
- Data Modeling & Forecasting
- ETL & Data Cleaning
- KPI Dashboard Creation
- Business Requirements Gathering
- A/B Testing & Hypothesis Analysis
- Stakeholder Communication
Projects
Predictive Sales Forecasting
- Used regression modeling in Python to predict monthly sales across five product categories.
- Integrated the model with Power BI for real-time forecasting dashboards.
- Achieved a model accuracy rate of 92%, validated using cross-validation techniques.
Customer Segmentation Analysis
- Clustered over 10,000 customer records using K-Means to identify key demographic groups.
- Findings led to simulated marketing strategies that improved engagement rates by 25% in project simulations.
Personal Details
New York
United States
+1 (646) 593-7428
alex.rivera@email.com
Links
Skills
Courses
Google Data Analytics Professional Certificate — Coursera
Tableau Desktop Specialist — Tableau
SQL for Data Analysis — DataCamp
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