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About The Position

Requirements

• 2-7+ years of experience in a BI, data analyst, or reporting analyst role.
• Intermediate-level proficiency in Power BI Desktop and Power BI Service.
• Strong command of DAX for measures, time intelligence, and advanced calculations.
• Solid SQL skills - T-SQL query writing, joins, CTEs, window functions, and performance tuning.
• Hands-on experience with Azure services (Azure SQL, Synapse Analytics, Data Factory, or Data Lake).
• Familiarity with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks, or Mirroring).
• Experience with Power Query (M language) for data transformation.
• Understanding of data modelling concepts: star schema, fact/dimension tables, cardinality.
• Experience working directly or indirectly with clients or end users to gather requirements, design solutions, and deliver Power BI reports and dashboards.
• Ability to work independently and manage multiple projects in a fast-paced technology environment.

Nice To Haves

• Associate or Bachelor degree in Business, Computer Science, Information Technology, Business Technology, related field of study, or equivalent work experience.
• Microsoft Certified: Data Analyst Associate (PL-300).
• Knowledge of Azure DevOps or Git for version control of Power BI assets (PBIP format).
• Exposure to Python or PySpark for data transformation within Fabric Notebooks.
• Knowledge of CI/CD practices for BI report deployment.
• Experience with Paginated Reports (SSRS / Power BI Paginated).
• Background in financial, operational, or sales analytics is a plus.

Responsibilities

• 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.
• 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.
• Leverage Microsoft Fabric capabilities including Lakehouses, Warehouses, Data pipelines, and/or Notebooks.
• Assist Data Engineers in migrating legacy BI solutions to Fabric-native architecture where appropriate.
• 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.
• 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 governance standards.
• Present findings and dashboard walkthroughs to both technical and non-technical audiences.

Benefits

• Competitive salary and performance-based bonuses.
• Full Microsoft 365 technology stack and latest tooling.
• Support for Microsoft certification exams and continued learning (where applicable)
• Flexible hybrid work environment.
• Collaborative, innovation-focused team culture.
• Medical, Dental, & Vision Insurance
• Life Insurance
• Additional Voluntary Life Insurance
• Paid Time Off
• Paid Holidays & Extra Floating Holiday
• 401(k) & 401(k) Matching
• Employee Assistance Program
• Flexible Spending Account
• Health Savings Account
• Hospital Indemnity
• Short & Long Term Disability Insurance
• Accident & Critical Illness Insurance