Data Analyst

iA Financial Group (Industrial Alliance)•Austin, TX

7d•$77,000•Hybrid

About The Position

Data analyst ( intermediate) position : permanent full time, ( remote or hybrid in austin , tx) Build the future with us Are you driven by transforming data into strategic insights and eager to contribute to a company that empowers clients to feel confident and secure about their future? As a Data Analyst, you will play a key role in analyzing complex datasets, uncovering trends, and providing actionable insights that guide business decisions and drive innovation. This position is a great opportunity to showcase your analytical expertise and fully realize your potential within a caring and trustworthy company. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and innovation. What you’ll accomplish with us As a Data Analyst, you’ll be at the core of our mission. Here are the main responsibilities:

Requirements

Is a self-starter with exceptional critical thinking and problem-solving skills
Communicates confidently and effectively with stakeholders at all levels, including senior leadership
Thrives in collaborative environments and builds strong relationships
Demonstrates leadership qualities and takes ownership of projects with enthusiasm
7 years of professional business experience, 3 of those in business intelligence or data analysis.
Intermediate to advanced Excel proficiency
Experience with BI platforms such as Qlik and Power BI
Familiarity with data marts and handling large-scale datasets
Background in Business Intelligence or Data Analytics
Knowledge of Snowflake architecture and ability to query data using SQL or Python

Responsibilities

Analyze large datasets using SQL and create impactful visualizations with Qlik, Tableau, or Power BI
Collaborate with business leaders to gather requirements and design data-driven solutions
Deliver best-practice recommendations on advanced analytics and reporting
Present findings and actionable insights to leadership and cross-functional teams
Continuously improve processes and promote data literacy across the organization