Data Analyst

Valiant Technologies LLC; Minneapolis (MN); In loco; USD 85.000 - 120.000; Tempo pieno

Descrizione del lavoro

Valiant Technologies LLC is seeking a data analytics professional to transform complex business data into meaningful insights. The role combines strong analytical thinking with SQL, Python, and BI tooling to develop reports, dashboards, and data-driven recommendations for strategic and operational decisions.

The successful candidate will collect data across systems, write queries, validate results, and present findings to stakeholders.

Competenze

• Strong proficiency in SQL with complex joins, subqueries, and window functions.
• Hands-on experience with Python libraries such as Pandas and NumPy.
• Knowledge of BI tools like Power BI, Tableau, or similar.
• Experience with Excel, Pivot Tables, Power Query, and advanced formulas.
• Understanding of data cleaning, transformation, and validation techniques.

Mansioni

• Collect, organize, and analyze data from multiple business systems.
• Develop interactive dashboards and reports to monitor business performance.
• Write SQL queries to extract and validate information from databases.
• Identify trends, patterns, and performance indicators within datasets.
• Prepare analytical reports and present findings to stakeholders.
• Perform data cleansing, reconciliation, and quality checks.
• Work with business teams to define reporting requirements and KPIs.
• Automate recurring reports and improve data analysis processes.
• Provide data-driven recommendations to improve business operations.
• Maintain documentation for reports, dashboards, and analytical processes.

Conoscenze

SQL

Python

BI tools

Excel

Data visualization

KPI development

Formazione

Bachelor's in Statistics

Strumenti

Power BI

Tableau

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

About the Position:

This role involves transforming complex business data into meaningful insights that support strategic planning and operational decisions. The successful candidate will combine strong analytical capabilities with expertise in SQL, Python, and business intelligence tools to identify trends, develop reports, and communicate actionable findings.

Analytical & Technical Expertise:

Advanced proficiency in SQL, including complex joins, subqueries, and window functions.

Hands-on experience with Python libraries such as Pandas and NumPy.

Strong knowledge of Power BI, Tableau, or similar visualization platforms.

Experience with Excel, Pivot Tables, Power Query, and advanced formulas.

Understanding of data cleaning, transformation, and validation techniques.

Knowledge of statistical analysis and data interpretation.

Experience working with relational databases and cloud data platforms.

Familiarity with KPI development, dashboard reporting, and business intelligence.

Ability to analyze large datasets and identify data quality issues.

Business & Analytical Responsibilities:

Collect, organize, and analyze data from multiple business systems.

Develop interactive dashboards and reports to monitor business performance.

Write SQL queries to extract and validate information from databases.

Identify trends, patterns, and performance indicators within datasets.

Prepare analytical reports and present findings to stakeholders.

Perform data cleansing, reconciliation, and quality checks.

Work with business teams to define reporting requirements and KPIs.

Automate recurring reports and improve data analysis processes.

Provide data-driven recommendations to improve business operations.

Maintain documentation for reports, dashboards, and analytical processes.

Experience & Competency Requirements:

4–7 years of professional experience in data analytics or business intelligence.

Strong hands-on experience with SQL and data visualization tools.

Experience developing business dashboards and management reports.

Practical knowledge of Python-based data analysis.

Experience analyzing structured datasets and business performance metrics.

Ability to translate complex data into clear business insights.

Strong communication, presentation, and problem-solving abilities.

Educational Background & Preferred Credentials:

Bachelor's degree in Statistics, Applied Mathematics, Economics, Business Analytics, or Information Systems.

Postgraduate qualification in Data Analytics, Quantitative Analysis, or Business Intelligence is beneficial.

Certifications such as Microsoft Power BI Data Analyst Associate (PL-300), Tableau Certified Data Analyst, or Google Data Analytics Professional Certificate are preferred.

Experience working on real-world analytical projects and dashboard portfolios is an added advantage.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.