PowerBI Analytics Engineer

Role: PowerBI Analytics Engineer
Length: 3 months
Compensation: 45-49/hr
Location: Minnesota
Updated Requirements
Design and develop Power BI dashboards and reports based on business requirements.
Implement DAX and Power Query for data transformation and calculations.
Build semantic models using Power BI and DAX.
Connect Power BI to Azure Synapse for data sourcing and modeling.
Monitor and improve performance of Power BI reports and underlying Synapse queries.
Work closely with business analysts, data engineers, and stakeholders to gather requirements and deliver insights.
Implement row-level security and manage access controls in Power BI.
Ensure compliance with data governance and privacy standards.
Document data models, report logic, and configuration settings for future reference and support.
Meet deadlines for project deliverables while ensuring quality standards are maintained.
Analytics Engineer
Sample Tasks

• Create datasets for analytical purposes, including datasets for end users to import into desktop tools, and datasets for BI developers to import into analytics and BI tools.
• Build semantic layers and models that enable the rest of the organization to consume analytics more efficiently.
• Build the data pipelines that feed into data science and machine learning models.
• Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
• Builds data aggregation pipelines using Python, Apache Airflow, Spark, SQL, etc.
• Creates robust data models and architectures to support analytics initiatives
• Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
• Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
• Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
• Creates and maintains dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Looker to enable data-driven decision-making
• Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes
• Provide knowledge transfer

Qualifications

• 2-5 years of experience in data analytics, data engineering, software engineering, or a similar role
• Expertise in data modeling, ETL development, and data analysis
• Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Redshift and Snowflake
• Familiarity with cloud-based data platforms such as AWS, GCP, and Azure for data storage and processing
• Substantial programming ability using languages/tools such as R, Python, JavaScript, Scala, and C++ for data manipulation and scripting
• Solid understanding of relevant data governance, data quality, and data security best practices
• Knowledge of ETL processes, data integration, and data warehousing concepts.
• Familiarity with data visualization tools such as Tableau, Power BI, and Looker
• Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
• Strong problem-solving skills, and the ability to think critically and analytically
• Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders
• Ability to collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and model.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.