Data Insights Analyst: SQL, Python & BI Dashboards

Valiant Technologies LLC; Minneapolis (MN); On-site; USD 85,000 - 120,000; Full time

Job summary

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.

Qualifications

• 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.

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.

Skills

SQL

Python

BI tools

Excel

Data visualization

KPI development

Education

Bachelor's in Statistics

Tools

Power BI

Tableau

Job description

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.