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Sr. Data Analyst || Dallas, TX or Miami, FL, Hybrid (local candidates only)
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your data analysis expertise with dbt, Power BI, and Snowflake to drive significant business insights. You'll thrive here if you enjoy building robust data models and are passionate about delivering impactful analytics within a collaborative tech environment. Apply now to join AKAASA Technologies and advance your career!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Miami, FL, United States
Posted
17 hours ago
SQLAWSNumPySnowflakeAzureGitPandasPower BIPythondbt
Job Description
Note: In this Sr Data Analyst role, You will work closely with analysis of data in our Data Lake and provide meaningful insights for Business Users Using dbt model, Power BI Dashboards and Datasets in Snowflake.
Required Skills:
- Build and maintain dbt models (staging, intermediate, mart layers)
- Write and optimize SQL for data transformation and analysis
- Design and enforce data testing/validation (dbt tests, source freshness checks)
- Maintain documentation (dbt docs, data dictionaries, lineage)
- Partner with stakeholders to translate business questions into metrics/dashboards
- Manage version control workflows for dbt projects (Git-based)
- Monitor data quality and troubleshoot pipeline failures.
- Proficient in advanced data cleaning techniques, such as normalization, handling categorical variables, and merging datasets.
- Experience using tools like Python (pandas, NumPy) or R for complex data manipulation
- Ability to create interactive dashboards (Power BI), use calculated fields, and design complex visualizations that tell a compelling data story.
- Knowledge of best practices in data visualization and experience with custom visualizations.
- Understanding of how to create and maintain data models to support business reporting needs.
- AWS, Snowflake, Azure
- AWS Glue, AWS Appflow, Lambda, S3, Funnel, Athena
- Support CI/CD workflows for dbt deployments
Qualifications
- Bachelor’s degree in a related field; advanced coursework or certifications preferred.
- Ability to articulate data-driven insights clearly to a diverse audience.
- Identifies issues in data and processes, proposing effective solutions.
- Builds strong working relationships across teams and functions.
- Provide guidance and support to Data Analyst 1 in their daily tasks.
- Upholds ethical standards and sets a positive example for junior team members.
- Manages complex challenges with poise, maintaining focus under pressure.
- Actively contributes to change initiatives and encourages innovation within the team.
- Collaborates effectively with other departments to achieve shared goals.
- Takes on leadership roles in projects, mentoring junior analysts and guiding team efforts.
- Holds self and others accountable for meeting deadlines and achieving quality outcomes.
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