Power BI Architect

LCI-Lawinger Consulting; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A leading consulting firm is seeking a Data Intelligence Analyst to leverage data visualization and analysis to support decision-making. The role involves creating reports, analyzing datasets, and collaborating with global teams to enhance data-driven strategies. Ideal candidates will have a strong background in data science and experience with tools like Power BI and SQL.

Qualifications

• Three years of experience in data science or business analytics.
• Experience with data visualization tools like Power BI.

Responsibilities

• Design and publish ad hoc reports on Power BI.
• Analyze large datasets to identify trends.
• Collaborate with IT and business teams for data requirements.

Skills

Data Visualization

Data Analysis

SQL

Python

R

Education

Bachelor's degree in computer science

Master's degree in computer science

Tools

Power BI

Snowflake

Teradata

Power Apps

Power Automate

Job description

As a Data Intelligence Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

1. Design, develop, test, and publish ad hoc reports on Power BI as requested by the management team and provide analysis of these reports using data visualization tools.
2. Analyze and extract large datasets with multiple data types to identify trends using SQL or scripting languages such as Python or R.
3. Write queries, create data architectures, and prepare data on Snowflake/Teradata for reporting tool ingestion. Use Power Apps and Power Automate to create efficient workflows.
4. Conduct data reviews for technical gaps and collaborate with Quality Management Systems and IT teams to resolve them.
5. Collaborate with business and IT Master Data Management teams to ensure tools and data support organizational requirements.
6. Work with individuals at global sites to determine reporting requirements within the scope of data analytics reporting.
7. Support training for divisions and functions to ensure proper use of tools and metrics related to Quality Management System, Regulatory, and Product Stewardship teams.
8. Assist in building predictive and machine learning models to scale AI workflows for stakeholders and support Data & Analytics team in cloud data migration.

Minimum qualifications include:

1. Bachelor's degree or higher (completed and verified prior to start) in computer science, engineering, statistics, business, or finance from an accredited institution.
2. Three years of work experience in data science, business analytics, business intelligence, or a comparable data intelligence field.
3. Three years of experience with data visualization tools such as Power BI and proficiency with scaling AI workflows (Decision Trees, Random Forest, XGBoost).

Additional qualifications that could help you succeed further include:

1. Master's degree in computer science, Mathematics, Finance, or Statistics.
2. Five years of experience in a data engineer or Business Intelligence role within a tech company.
3. Experience conducting large-scale and complex data analysis to support business decision-making.
4. Three years of experience in data mining and dataset preparation using scripting languages.
5. Proficient understanding of data warehousing and data modeling techniques.
6. Proficient understanding of Azure machine learning models and AI workflows.

Keywords: Education: Master's degree or higher in computer science, Mathematics, Finance, Statistics, Economics, or Political Science.

Compensation: $82-$85 per hour.