Job: SeniorData Analyst
Location:Miami, FL or Irving, Texas
Job Type: Contract to Hire
What We Are Looking For
In this Sr Data Analyst role, you will work closely with analysis of data in the Data Lake and provide meaningful insights for business users using dbt models, Power BI dashboards/datasets, and Snowflake. You will partner with stakeholders to translate business questions into measurable metrics, trusted reporting, and actionable insights—while also helping enforce data quality, documentation, and repeatable analytics engineering practices.
Responsibilities
- Conduct complex data analysis and develop insights that support business objectives
- Create and maintain advanced reports and interactive dashboards for a wide range of stakeholders (Power BI)
- Build and maintain dbt models across staging, intermediate, and mart layers
- Write and optimize SQL for transformation and analysis; support performance tuning where needed
- Design and enforce data testing and validation (dbt tests, source freshness checks)
- Maintain analytics documentation (dbt docs, data dictionaries, lineage)
- Partner with stakeholders to translate business questions into metrics, dashboards, and datasets
- Manage Git-based version control workflows for dbt projects; support CI/CD workflows for dbt deployments
- Monitor data quality, troubleshoot pipeline failures, and support production reporting reliability
- Apply advanced data cleaning techniques (normalization, categorical handling, merging datasets)
- Use Python (pandas, NumPy) or R for complex data manipulation and analysis
- Design compelling data stories through visualization best practices, calculated fields, and complex Power BI visualizations (including custom visuals when appropriate)
- Contribute to best practices for data management and analysis across the team
- Identify trends, patterns, and anomalies in large/complex datasets and present findings to senior analysts and leaders
- Support multiple projects simultaneously and meet deadlines in a fast-paced environment
- Provide guidance and support to Data Analyst I; mentor junior analysts and contribute to team development
Qualifications Required
- Bachelor's degree in a related field (advanced coursework or certifications preferred)
- Strong SQL skills with experience writing and optimizing queries for analytics and transformation
- Experience with dbt modeling (staging/intermediate/marts), testing, documentation, and Git-based workflows
- Experience building Power BI dashboards and datasets; ability to create interactive, stakeholder-friendly reporting with strong visualization practices
- Experience working with Snowflake and supporting business reporting data models
- Experience with data cleaning, large dataset analysis, and communicating insights clearly to diverse audiences
- Ability to identify issues in data and processes and propose effective solutions
- Strong stakeholder partnership skills; ability to influence and engage senior leaders with data-driven insights
- Ability to manage multiple priorities and deliver quality outcomes on deadlines
- Basic understanding of GitHub
Preferred / Nice to Have
- Experience with statistical analysis and predictive modeling
- Experience with orchestration and integration tooling (Airflow, Luigi, NiFi, AWS Glue)
- Experience working within hyperscaler cloud environments and related tooling
Core Tools / Technologies
- Data/Cloud: AWS, Snowflake, Azure
- AWS Services: Glue, AppFlow, Lambda, S3, Athena (plus Funnel as listed)
- Analytics Engineering: dbt, CI/CD for dbt deployments, Git workflows
- BI/Visualization: Power BI
- Programming: Python (pandas, NumPy) and/or R; SQL; Shell scripting (as applicable)
Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.