Design, build, and maintain reporting and dashboard solutions in Power BI and QlikView
Work with business stakeholders to gather reporting requirements and translate them into clear technical specifications
Prepare, validate, and analyze data using SQL or similar tools to support accurate reporting
Develop basic to intermediate data models, calculations (e.g., DAX), and visualizations that support business insights
Assist in data integration efforts by working with senior developers to connect on-prem and cloud data sources
Conduct testing, troubleshooting, and quality assurance to ensure reports are accurate, reliable, and user-friendly
Evaluate and enhance existing dashboards and BI assets to improve performance and usability
Support ongoing maintenance of BI platforms and applications, including updates to Power BI and QlikView reports
Collaborate with cross-functional teams—including business, IT, and data engineering—to ensure alignment and data consistency
Create and maintain documentation for reports, datasets, data definitions, and BI processes
Maintain data quality, integrity, and governance practices within BI solutions
Analyze datasets to identify trends, patterns, and opportunities for operational improvement
Support cross-functional projects by supplying analytical and development solutions, data extracts, and ad-hoc reports
Maintain proper access controls for dashboards, reports, and data models

Requirements

3 years of experience developing BI reports, dashboards, or analytics solutions
Experience developing BI dashboards and reports using Power BI; familiarity with QlikView is a plus
Ability to write SQL queries to extract, join, and validate data accurately
Understanding of relational databases, data warehouses, and foundational data modeling concepts
Knowledge preparing and validating data for reporting, including basic transformation and quality checks
Ability to interpret business requirements and converting them into report specifications
Familiarity using Microsoft tools such as Excel and SharePoint in analytics workflows
Prior exposure with cloud or hybrid data environments (Azure, Snowflake, AWS, Databricks) is beneficial
(Optional) Exposure to Microsoft Fabric components (Dataflows Gen2, Lakehouse/Warehouse, pipelines)
(Optional) Basic Python scripting for data preparation or automation tasks

Benefits

Health, Pension, and Retirement Savings benefits
Training and Legal Services benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Power BIQlikViewSQLDAXdata modelingdata integrationdata analysisdata validationdata transformationPython

Soft skills

collaborationcommunicationproblem-solvinganalytical thinkingattention to detailorganizational skillsstakeholder managementquality assuranceuser-friendly designdocumentation