Job SummaryThe Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, data-driven decisions. This entry-level role is designed for early-career professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloud-based data environment.
Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery.
Role DescriptionDashboard & Visualization Support- Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI
- Assist with implementing dashboard enhancements, bug fixes, and usability improvements
- Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards
- Validate dashboard data accuracy and support testing activities prior to releases
- Support recurring reporting and respond to ad hoc data requests from business stakeholders
Data Engineering & Transformation Support- Assist in building and maintaining datasets, transformation logic, and curated reporting tables
- Support data quality validation and troubleshooting across reporting pipelines
- Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance
- Help maintain documentation for datasets, business rules, and KPI definitions
- Support the broader analytics architecture across platforms such as Microsoft Fabric, SQL-based environments, and cloud data platforms
Analytics Operations & Delivery- Participate in sprint planning, backlog refinement, and regular status updates
- Track work and updates using project management tools such as Asana
- Collaborate with senior analytics engineers and analysts to support project delivery timelines
- Assist with production support and issue resolution for dashboards and reporting solutions
- Learn how analytics solutions integrate with enterprise business processes and workflows
What Success Looks Like- Produces accurate, reliable, and well-structured reporting outputs
- Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts
- Contributes positively to team collaboration and delivery goals
- Builds stronger technical and business understanding over time
- Develops confidence in independently supporting dashboards, datasets, and reporting workflows
Behaviors and Competencies- Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.
- Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.
- Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.
- Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.
- Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.
- Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.
- Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.
- Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.
- Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.
- Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.
Skill Level Requirements- Foundational analytics and data engineering skill set
- Ability to work with SQL and relational database structures
- Data visualization and reporting ability
- Analytical thinking and attention to detail
- Problem-solving and troubleshooting skills
- Clear written and verbal communication skills
- Collaboration skills within cross-functional technical teams
- Ability to manage multiple tasks in a structured, sprint-based environment
- Willingness to learn new technologies and analytics best practices
Other Requirements- Bachelor's degree or equivalent experience required
- 1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles
- Foundational understanding of SQL and relational databases
- Exposure to data visualization or reporting tools through coursework, internships, or personal projects
Preferred:- Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools
- Exposure to technologies such as SQL, Python, PySpark, or cloud-based data platforms
- Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design
- Interest in analytics engineering, business intelligence, or data visualization as a long-term career path
The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
