Power BI Developer & Analytics Engineer

Client laptop will be provided

Job Title: Power BI Developer & Analytics Engineer

 The main requirements should be around power BI, DAX, and reporting.

Work Schedule:

• This position requires on-site presence five days per week.
• Contract Duration: This role is structured as a contract assignment of up to 18 months.

Experience Requirements:

• The ideal candidate will bring 2–5 years of relevant professional experience in Business Intelligence, Data Analytics, Analytics Engineering, or Data Engineering, with hands-on expertise in Power BI, SQL, and modern data platforms. Experience supporting enterprise reporting environments, semantic models, and data pipelines is highly preferred.

Top Required Skills and Competencies:

• Strong Power BI experience, including dashboard development, data modeling, DAX, Power Query (M), semantic models, and report optimization
• Experience implementing and supporting Row-Level Security (RLS)
• Strong SQL skills, including querying, data validation, troubleshooting, and performance optimization

Preferred Soft Skills and Behavioral Traits:

• Ability to thrive in ambiguous and rapidly evolving environments with a proactive, ownership-oriented mindset
• Strong analytical and problem-solving skills with attention to detail
• Demonstrated ability to manage and prioritize multiple projects while balancing development, support, and documentation activities

Description

• The Power BI Developer & Analytics Engineer will play a key role on the Freestyle Data Science & Analytics team, responsible for transforming complex datasets into actionable insights through interactive Power BI dashboards while also supporting underlying data engineering and analytics infrastructure.
• This role is instrumental in enabling data-driven decision-making across cross-functional teams and ensuring continuity of critical reporting and analytics capabilities.

Key Responsibilities

• Power BI Development: Design, develop, maintain, and optimize interactive Power BI dashboards and reports supporting sales, engineering, operations, product, and digital teams.
• Semantic Modeling: Develop and maintain semantic models, DAX measures, business KPIs, and row-level security configurations.
• Analytics Engineering: Build and maintain reusable datasets, data marts, and scalable analytical models for reporting and business consumption.
• Data Engineering Support: Assist with data pipeline development, ETL/ELT processes, data validation, migration activities, and troubleshooting of analytical data flows.
• Stakeholder Collaboration: Partner with business stakeholders to gather requirements, translate them into technical solutions, and deliver actionable insights.

Technical Skills

• Business Intelligence Tools: Power BI (DAX, Power Query, Report Design, Data Modeling, Semantic Models, RLS)
• Data Querying: SQL, KQL
• Collaboration Tools: Microsoft Teams, SharePoint, Excel