Power BI Developer

Eightelevengroup; Remote; USD 80,000 - 110,000; Full time

Job summary

A leading financial services firm is hiring a Power BI Developer for a remote position. The role involves building and optimizing dashboards, ensuring metric accuracy using DAX, and troubleshooting reporting issues. Candidates should demonstrate strong SQL skills and a proactive approach to analytics. This collaborative position supports various internal teams and requires strong communication skills. Preferred qualifications include experience with Adobe Analytics and Python. This role is a 6-month contract with potential for hire.

Qualifications

• Strong experience building Power BI dashboards end-to-end.
• Deep proficiency in DAX for metric creation and performance tuning.
• Strong SQL skills for data validation and troubleshooting.

Responsibilities

• Build, maintain, and optimize dashboards across multiple metrics.
• Contribute to semantic model design and long-term reporting architecture.
• Communicate impacts and metric design decisions clearly.

Skills

Power BI Dashboard Creation

DAX Proficiency

SQL Skills

Analytical Thinking

Stakeholder Management

Tools

Power BI

SAS

Adobe Analytics

Job description

Location: 100% Remote

Duration: 6-month contract with potential to hire

Industry: Banking & Financial Services

Power BI Developer – Channels Analytics

Our financial services client is expanding its responsibility for Digital Sales insights and reporting. The team is responsible for understanding customer behavior across the digital acquisition funnel and converting complex data into meaningful metrics, dashboards, and decision-support tools.

We are seeking a Power BI Developer who can take ownership of metric logic, troubleshoot existing reporting, and help rebuild pieces of the reporting ecosystem impacted by technical debt. This is a highly collaborative role within a 6-person analytics team supporting multiple internal stakeholders across Digital Sales, Branch, Call Center, and P&BB.

Key Responsibilities

• Build, maintain, and optimize dashboards across 150+ metrics spanning four major reporting areas.
• Support BI modernization efforts by refining and standardizing reporting templates and schema developed over the past year. This role will focus heavily on Power BI design (not data engineering), requiring strong design intuition and the ability to shape how reports are structured, visualized, and consumed across the business.
• Write and refine DAX measures; ensure metric accuracy and performance.
• Troubleshoot issues by identifying the specific DAX or model logic causing discrepancies.
• Contribute to semantic model design and long‑term reporting architecture.
• Own end‑to‑end metric creation for digital customer journey reporting
• Validate metrics across multiple systems using SQL and other tools.
• Maintain manual ingestion processes (Adobe → Power BI) while evaluating opportunities for automation.
• Work with SAS‑based pipelines and data tables feeding Power BI dashboards.
• Work within a 6‑person analytics/ETL team operating as generalists.
• Communicate clearly about impacts, dependencies, and metric design decisions.

Required Qualifications

• Strong experience building Power BI dashboards end‑to‑end.
• Deep proficiency in DAX for metric creation and performance tuning.
• Experience designing and using semantic models.
• Strong SQL skills for data validation and troubleshooting.
• Proven ability to work through technical debt and rebuild complex reporting assets.
• Excellent analytical thinking and problem‑solving skills.
• Strong communication and stakeholder management skills.
• Ability to thrive in a fast‑moving environment with manual processes and evolving data sources.
• Curious, proactive, and thoughtful in how you approach complex problems.
• Collaborative team member who others want to work with.
• Genuine passion for analytics, metrics, and customer behavior insights.

Preferred Qualifications

• Experience with Adobe Analytics or other digital analytics tools.
• Experience with SAS‑based data pipelines.
• Python exposure for data validation and automation.
• Prior experience in banking or financial services.