Data Analyst

Innova Solutions•Minneapolis, MN

7d•Onsite

About The Position

Data Analyst who can bridge the gap between data and decision-making by creating compelling analytical experiences for our customers through the Tracking platform. In this role, you'll be at the forefront of customer-facing analytics, designing intuitive dashboards that help businesses make smarter, data-driven decisions. If Tableau is your canvas, SQL is your toolkit, and solving business challenges through data excites you, we'd love to hear from you.

Requirements

Bachelor’s degree in data science, Computer Science, Information Systems, Business Analytics, or a related discipline.
6+ years of experience in Data Analytics, Business Intelligence, or related analytical roles.
Deep expertise in Tableau, including advanced visualization techniques, Relationships, LODs, and dashboard optimization.
Strong SQL skills with experience writing and tuning complex queries.
Solid understanding of data modeling principles and analytical best practices.
Familiarity with ETL processes, data integration, and operational data environments.
Experience working with large-scale datasets and performance optimization.

Nice To Haves

Knowledge of cloud platforms such as Azure, AWS, or GCP is a plus.
Exposure to Git or other version control tools is an added advantage.
A natural problem solver who thrives on turning ambiguity into clarity.
Strong analytical mindset with a passion for uncovering meaningful insights.
Exceptional communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
Meticulous attention to detail and commitment to data integrity.
Collaborative team player who enjoys working across functions and disciplines.
Highly organized, adaptable, and capable of managing multiple priorities.
Self-driven, proactive, and energized by working in a fast-paced, evolving environment.

Responsibilities

Design, develop, and enhance interactive Tableau dashboards that power customer insights within the TracKing platform.
Transform complex datasets into meaningful, easy-to-understand visual stories that drive action.
Create analytics experiences that empower customers to make informed operational decisions.
Collaborate with product managers, customer support teams, and business stakeholders to understand reporting needs and business objectives.
Translate requirements into impactful dashboards and scalable analytical solutions.
Develop and optimize SQL queries to deliver accurate, high-performing analytics.
Apply data modeling best practices to ensure analytics solutions are scalable, maintainable, and reliable.
Validate data quality and ensure dashboards consistently deliver trusted insights.
Investigate and resolve dashboard performance issues, data anomalies, and reporting discrepancies.
Maintain comprehensive documentation for data sources, business logic, calculations, and dashboard architecture.
Partner with data engineering teams to strengthen and streamline analytics workflows.