Data Analyst
Akaasa Technologies
MUST BE LOCAL TO WORK ONSITE in Houston, TX (preferred) or Chicago, IL
Industry: Airlines
Candidates with Airlines/Aviation experience will receive priority and be reviewed first.
We are seeking a Senior Data Analyst to lead the development of dashboards and analytics solutions that empower business users to make data driven decisions. This role will focus heavily on building high quality Power BI dashboards using data from modern, cloud based sources, including UDH data sources, DynamoDB, Postgres, and application observability tools (RUM and APM platforms).
You will operate as a trusted analytics partner-owning metrics end to end, shaping data standards, and translating complex technical and behavioral data into clear business insights.
Key Responsibilities
Design, build, and own Power BI dashboards and reports for business, product, and operational stakeholders
Partner with stakeholders to define KPIs and translate business questions into scalable data models and visualizations
Analyze and model data from UDH data sources, DynamoDB, and Postgres
Leverage data from AWS hosted infrastructure to support reporting and analytical use cases
Incorporate Real User Monitoring (RUM) and Application Performance Monitoring (APM) data into dashboards to surface trends related to performance, reliability, and user experience
Build and maintain advanced DAX measures and calculations following Power BI best practices
Ensure dashboards are performant, maintainable, and intuitive for self service consumption
Validate data accuracy, perform root cause analysis, and partner with engineering teams to resolve inconsistencies
Establish best practices for dashboard design, metric definitions, and documentation
Provide mentorship and technical guidance to other analysts, raising the overall analytics maturity of the team
Required Qualifications
Bachelors degree in Analytics, Data Science, Business, Computer Science, or a related field (or equivalent experience)
5+ years of experience in analytics, business intelligence, or data analysis roles
Advanced experience with Power BI, including data modeling, DAX, and Power BI Service
Strong SQL skills and experience querying Postgres or similar relational databases
Hands on experience working with NoSQL data sources such as DynamoDB
Experience analyzing data in AWS based environments
Ability to translate technical or behavioral data (e.g., RUM, APM) into business relevant insights
Strong communication skills with the ability to present complex insights to non technical audiences
Preferred Qualifications
Experience working with UDH or unified data hub-style architectures
Familiarity with RUM and APM tools (e.g., application monitoring, performance metrics, latency, errors)
Experience building dashboards for product, reliability, or customer experience use cases
Understanding of data governance, KPI standardization, and self service analytics
Prior experience serving as a domain owner or analytics lead
What Success Looks Like
Business and product leaders rely on your dashboards to guide decisions
Performance, reliability, and usage metrics are clearly defined, trusted, and widely understood
Dashboards effectively combine business, product, and observability data
You are seen as a strategic thought partner-not just a report builder
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