Data Analyst

Data Analyst

Looking for a Data Analyst to design, build, and maintain the data infrastructure that powers analytics and AI services. This role will focus on creating scalable Snowflake databases, building ETL pipelines, and integrating client data from various tools into Snowflake. My ideal candidate must have strong technical expertise, excellent communication skills, and a problem-solving mindset to transform raw data into actionable business insights.

Key Responsibilities

Design, implement, and optimize data pipelines and ETL processes to unify systems.

Build and manage Snowflake data warehouses, ensuring accuracy, security, and scalability.

Integrate data from CRMs, ERPs, SaaS platforms, and APIs into centralized data systems.

Support financial reporting and business intelligence needs through clean, reliable datasets.

Collaborate to translate business requirements into technical solutions.

Ensure data quality, consistency, and accessibility across all pipelines.

Prepare infrastructure for advanced analytics and AI-driven workflows.

Qualifications

Proven experience as a Data Analyst, Data Integration Specialist, or similar role.

Strong expertise in SQL, Python, and Snowflake.

Experience designing and maintaining ETL pipelines.

Familiarity with data visualization and analytics tools (e.g., Tableau, Hex).

Strong understanding of API integrations and connecting multiple software platforms.

Knowledge of cloud services (AWS, Azure, or GCP) is a plus.

Excellent communication skills and ability to work across time zones.

Tools & Technologies

Snowflake (primary data warehouse)

Python & SQL

Tableau or Hex (visualization)

APIs and system integrations

Success in This Role

A fully functional Snowflake data warehouse instance is built and maintained.

Data from multiple client tools is retrieved, cleaned, and transformed into actionable insights.

Financial reporting processes are streamlined and supported with reliable data pipelines.

Strong communication and collaboration