Job Description
Are you passionate about transforming complex datasets into actionable business intelligence?
Apex Analytics Corp is seeking a Senior Data Analyst to join our growing team in Indianapolis, Indiana. We are thrilled to offer relocation assistance to top-tier talent looking to advance their career in a vibrant tech hub. You will play a pivotal role in driving strategic decisions across our operations, utilizing cutting-edge tools to uncover insights that matter.
Apex Analytics Corp is seeking a Senior Data Analyst to join our growing team in Indianapolis, Indiana. We are thrilled to offer relocation assistance to top-tier talent looking to advance their career in a vibrant tech hub. You will play a pivotal role in driving strategic decisions across our operations, utilizing cutting-edge tools to uncover insights that matter.
Responsibilities
- Collect, clean, and analyze large datasets from various sources to identify trends, patterns, and business opportunities.
- Develop and maintain interactive dashboards and visualizations (Tableau, PowerBI) to monitor key performance indicators (KPIs).
- Collaborate with cross-functional teams, including product management and engineering, to define data requirements and analytical goals.
- Create comprehensive reports and presentations for executive stakeholders to support high-level decision-making.
- Perform advanced data modeling and statistical analysis to predict market trends and customer behavior.
- Ensure data accuracy and integrity through rigorous testing and validation processes.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related quantitative field.
- 3-5 years of professional experience as a Data Analyst or Business Intelligence Analyst.
- Strong proficiency in SQL (PostgreSQL, MySQL) and scripting languages (Python or R).
- Expertise in data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
- Experience with ETL processes and data warehousing concepts (Snowflake, Redshift, or similar).