Power BI Data Analyst

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Job Type

Full-time

Description

Fisher's Technology

Fisher's mission is to make our customers extremely happy through technology offerings and services that maximize business efficiency and performance. And we do all that while having a great time and loving our work. Fisher's Technology has been selected as one of the "Best Places to Work in Idaho" for the last sixteen years.

Fisher's is a leading technology provider in Idaho, Montana, Utah, & Washington to help businesses perform at the top of their game. We manage IT environments (servers, cloud environments, network equipment, computers, mobile devices, applications, Cloud, VoIP, and internet services), sell and service office equipment (from Canon, Konica Minolta, HP, OCE and many others), and streamline business operations with electronic document management and related software solutions.

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Position Summary

Fisher's is seeking a skilled and driven Power BI Data Analyst (level l or ll depending on experience) to join our growing Analytics team. In this role, you will be responsible for designing, developing, and maintaining Power BI reports and dashboards that empower both internal business stakeholders and external clients to make data-driven decisions. You will work closely with clients, data engineers, business leaders, and IT teams to ensure data accuracy, accessibility, and actionable insights across every engagement.

You'll be joining a well-established, high-performing Analytics Team that has already built a strong foundation. Bring your skills into an environment where great work is already happening and the best is still to come.

The ideal candidate has hands-on experience with the Microsoft data ecosystem, including Azure, Microsoft Fabric, and SQL Server, and brings a strong eye for data storytelling and visualization best practices. Experience in Power

BI is required. This role will report directly into the Data & Analytics team whom reports directly to the President of Fisher's Technology.

Primary Responsibilities

Power BI Development

* Design, build, and publish interactive Power BI reports, dashboards, and scorecards.

* Develop and maintain complex DAX measures, calculated columns, and KPIs.

* Implement row-level security (RLS) and manage Power BI workspace permissions.

* Optimize data models for performance, including star-schema design and aggregations.

* Manage report deployment pipelines (Dev ? Test ? Production) within Power BI Service.

Data Modelling & Engineering

* Write efficient T-SQL queries, stored procedures, and views in SQL Server / Azure SQL.

* Build and maintain dataflows, datasets, and semantic models in Power BI and Microsoft Fabric.

* Connect to diverse data sources including, but not limited to Azure Synapse Analytics, Azure Data Lake, SharePoint, and various REST APIs.

* Collaborate with data engineers on pipeline design and data warehouse schemas.

Microsoft Fabric & Azure

* Leverage Microsoft Fabric capabilities including Lake houses, Warehouses, Data pipelines, and/or Notebooks.

* Assist Data Engineers in migrating legacy BI solutions to Fabric-native architecture where appropriate.

Client Engagement & Delivery

* Partner with clients to understand their reporting needs, business objectives, and KPIs - translating these into effective Power BI solutions.

* Lead discovery workshops and requirements-gathering sessions with client stakeholders (internal & external).

* Design and prototype dashboard layouts and report wireframes for client review and sign-off prior to development.

* Develop and deliver client-facing Power BI reports and dashboards from initial build through to deployment and handover.

* Maintain ongoing client relationships, managing feedback, change requests, and iterative improvements post-launch.

* Provide training and documentation to empower clients in self-service analytics and day-to-day report use.

Stakeholder & Governance

* Assist in gathering and translating business requirements into technical specifications and report designs.

* Conduct data quality validation and support business users in self-service analytics.

* Document data models, report logic, and data dictionaries to support…