Senior Power BI Developer — Remote/Denver Hybrid

Mavensoft Technologies, LLC

Denver (CO)

On-site

USD 95,000 - 125,000

Full time

3 days ago
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Job summary

Mavensoft Technologies, LLC in Denver, CO seeks a skilled Power BI Developer to support the BI program with end-to-end report design, data modeling, and dashboard development.

Responsibilities include collaborating with business users, sourcing data, implementing row-level security, connecting to APIs and databases, and optimizing performance across large datasets. Local candidates only for some on-site collaboration.

Qualifications

  • Strong hands-on experience developing solutions using Microsoft Power BI.
  • Experience gathering and analyzing business and reporting requirements.
  • Experience translating business requirements into reports, visualizations, and data models.
  • Ability to identify relevant data sources and attributes required for reporting and analytics.
  • Intermediate-level Excel proficiency, including complex formulas, pivot tables, and data analysis.
  • Ability to reverse engineer existing Excel-based and manual business processes to determine underlying business requirements.
  • Strong data modeling skills, including conceptual, logical, and physical data models.
  • Experience developing reusable semantic data models within Power BI.
  • Experience implementing row-level and column-level security within Power BI semantic models.
  • Experience creating table relationships and optimizing data structures.
  • Familiarity with Tabular Editor Best Practice Analyzer and DAX best practices.
  • Experience connecting Power BI to APIs, BigQuery, ArcGIS map and feature layers, SQL databases, Excel files, and streaming datasets.
  • Experience with data extraction and transformation.
  • Strong proficiency in DAX, including calculated columns, measures, and custom calculations.
  • Experience designing and developing interactive Power BI reports and dashboards.
  • Experience with slicers, visuals, drill-through functionality, streaming visuals, and ArcGIS visuals.
  • Experience optimizing Power BI reports and underlying data models for performance.
  • Experience using DAX Studio and built-in Power BI performance tools.
  • Proficiency with Power BI Service, including report publishing, access controls, automated refresh schedules, and performance optimization for large datasets.
  • Ability to follow organizational source-control and version-control standards for Power BI files.
  • Experience utilizing Azure DevOps as part of source and version control processes.
  • Strong collaboration and communication skills.
  • Experience working with cross-functional teams.

Responsibilities

  • Assist with the Business Intelligence (BI) Program by developing and supporting Power BI solutions.
  • Collaborate with business users and data analysts to gather requirements and understand business objectives for reports, visualizations, and underlying data models.
  • Identify relevant data sources and attributes for use in reporting and data models.
  • Use Excel at an intermediate level, including complex formulas, pivot tables, and data analysis.
  • Reverse engineer processes originally developed by business users by deconstructing existing Excel formulas, pivot tables, and data analyses to interpret business requirements based on existing manual processes.
  • Identify and suggest efficiency improvements and logic optimizations for existing business processes.
  • Design and document efficient conceptual, logical, and physical data models that support business requirements.
  • Establish reusable semantic data models within Power BI.
  • Implement row-level and column-level security within Power BI semantic models.
  • Create relationships between tables and optimize data structures.
  • Run Tabular Editor Best Practice Analyzer to ensure adherence to modeling and DAX best practices.
  • Connect to various data sources, including APIs, BigQuery, ArcGIS map and feature layers, SQL databases, Excel files, and streaming datasets.
  • Ensure seamless data extraction and transformation.
  • Collaborate with the Integrations team to determine available integration patterns.
  • Write DAX (Data Analysis Expressions) formulas, including calculated columns, measures, and custom calculations.
  • Design and develop interactive and visually appealing Power BI reports and dashboards.
  • Incorporate slicers, visuals, drill-through functionality, streaming visuals, and ArcGIS visuals.
  • Optimize Power BI reports and recommend improvements to underlying data models for better performance.
  • Utilize DAX Studio and built-in Power BI performance tools.
  • Publish reports to the Power BI Service, manage access controls, automate refresh schedules, and optimize performance for large datasets.
  • Work with AI tools and leverage AI technologies to enhance processes and optimize data analysis workflows.
  • Follow organizational patterns for source and version control of Power BI files.
  • Utilize Azure DevOps as appropriate within the source and version control process.
  • Collaborate with cross-functional teams to gather requirements, explain technical concepts to non-technical users, and deliver reports aligned with business goals.
  • Present complex data insights and reports to non-technical audiences and stakeholders.
  • Prepare for meetings, screen-share, and conduct working sessions, including discussions of backlog item statuses and gathering additional or changing requirements.
  • Collaborate remotely with colleagues and attend in-person meetings at State offices when required.

Skills

Power BI
DAX
SQL
Excel
Tabular Editor
Azure DevOps
APIs

Tools

DAX Studio
Power BI Service
Tabular Editor Best Practice Analyzer
Azure DevOps (source control)

Job description

Mavensoft Technologies, LLC in Denver, CO seeks a skilled Power BI Developer to support the BI program with end-to-end report design, data modeling, and dashboard development.

Responsibilities include collaborating with business users, sourcing data, implementing row-level security, connecting to APIs and databases, and optimizing performance across large datasets. Local candidates only for some on-site collaboration.

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