Data Analyst

Vscore Inc.; Sacramento (CA); On-site; USD 105,000 - 140,000; Full time

Benefits offered by this job

Mentorship

Career growth

Competitive compensation

Job summary

Vscore Inc. in Sacramento, CA is seeking an experienced data analyst to extract insights from large datasets. You will design, maintain, and evaluate data models, defining attributes, relationships, and dependencies to support decision making.

The role requires strong SQL, ETL, and data visualization skills with Power BI, Tableau, or Looker, plus experience with Python or R for predictive analytics. You will work with stakeholders to translate technical findings into actionable business

Qualifications

• 5+ years of experience in data analysis or BI with proven data interpretation.
• Strong SQL and ETL experience.
• Experience with data modeling concepts and normalization.
• Proficiency with Power BI/Tableau/Looker for dashboards.
• Experience with Python or R for predictive modeling.
• Familiarity with DBMS such as Oracle, MySQL, PostgreSQL, Snowflake.
• Experience optimizing data architecture for performance and scalability.

Responsibilities

• Using data mining to extract information from data sets and identify correlations and patterns.
• Design, develop, and maintain data models and define attributes, relationships, and dependencies.
• Analyse and optimize the data model architecture for scalability, performance and integrity.
• Organise and transform information into comprehensible structures.
• Use data to predict trends and perform statistical analysis.
• Visualize data with charts and graphs for reports and dashboards.
• Prepare reports and present findings to management or clients.
• Monitor data quality and remove corrupt data.
• Communicate with stakeholders to understand data content and business requirements.

Skills

Data mining

SQL

ETL processes

Data modeling

Visualization tools

Python/R

DBMS

Tools

Power BI

Tableau

Looker

Python

R

Job description

Opportunity Details

Job Location : SACRAMENTO, CA

Key Responsibilities:

• Using data mining to extract information from data sets and identify correlations and patterns.
• Design, develop, and maintain the data models and create logical representations of data entities, defining their attributes, relationships, and dependencies.
• Analyse and optimize the data model architecture to ensure scalability, performance, and data integrity.
• Organising and transforming information into comprehensible structures.
• Using data to predict trends and perform statistical analysis of data.
• Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
• Preparing reports and presenting these to management or clients.
• Monitoring data quality and removing corrupt data.
• Communicating with stakeholders to understand data content and business requirements.

Qualifications:

• 5+ years of experience in data analysis, data modeling, or business intelligence, with proven ability to extract, analyze, and interpret complex datasets.
• Strong knowledge of data modeling concepts — including logical and physical data models, entity-relationship design, and data normalization.
• Proficiency in SQL and experience with data mining and ETL (Extract, Transform, Load) processes.
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker, and ability to communicate insights effectively through charts and dashboards.
• Familiarity with Python, R, or other statistical analysis tools for predictive modeling and trend forecasting.
• Understanding of database management systems (DBMS) such as Oracle, MySQL, PostgreSQL, or Snowflake.
• Experience optimizing data architecture for performance, scalability, and data integrity.
• Strong attention to detail, analytical thinking, and problem-solving skills.
• Excellent communication and presentation skills for translating technical insights into actionable business recommendations.

Why Join Us:

• We believe in nurturing talent — offering continuous learning, mentorship, and opportunities to advance your career.
• Contribute to meaningful and challenging projects that make an impact and encourage creativity and problem-solving.
• Competitive compensation and benefits package.