Analytics & Solutions Consultant; HYBRID

Position: Analytics & Solutions Consultant (HYBRID)
What You'll Do:

Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption

Consult with data consumers to identify meaningful datasets for analytical consumption

Lead day-to-day development of data products using continuous deployment and integration practices

Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products

Participate in agile story authoring, sizing, and demo sessions for product features
Lead code reviews and provide feedback to the team Mentor junior engineers

What You'll Bring to the Role:

Bachelor's Degree Experience designing and developing solutions using Microsoft Power Platform technologies, including Power Apps, Power Automate, Power BI, Dataverse, and related services.

At least 4 years of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using modern languages and practices

Experience using continuous integration and deployment concepts

At least 3+ year experience with specific technical requirements/platforms will vary (i.e.  AWS data science and analytics cloud technologies such as S3, EMR, Spark, PySpark, RDS, Jupyter Lab, Sagemaker, etc., data warehouses suchas Redshift or Snowflake; and digital analytics tools such as Adobe Analytics and Heap)       Proficiency navigating various types of database models and DBMS’s to create data sets for analytics and model training and development

Experience developing solutions using agile methods Experience working in data lake environments Experience guiding the work of junior developers  

Experience with Testing or data accuracy/quality designs Advanced programming skills  Strong Python and cloud compute skills

Strong SQL skills and background in ETL Deep understanding of distributed data systems and applications.

Proficiency with data lake design and implementation considerations such as columnar storage formats (Parquet) and partitioning

Deep understanding of analytics and data science applications

Deep understanding of machine learning systems

Development of requirement driven data models such dimensional and relational. Deep understanding of the business domain and the meaning of the data in it to accurately identify key and associated data which can be extracted, transformed and loaded for effective consumption downstream.

Develop the data flow so that data can be shared across the company with one source of truth being the goal.

Understanding and awareness of regulations around the use of PII data. See the big picture and able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.

Ability to provide thought leadership throughout the local scrum team Ability to explain technical solutions to technical teams and non-technical teams

Exceptional analytical, conceptual, and problem-solving skills.

Excellent written and verbal communication skills

Self-motivated and able to work with minimal direction

Preferred:

Experience with Agile methodologies, experience in Dev Ops environment,

Experience with user adhoc tools: power bi, business objects, Tableau;
Consulting experience

This is a Hybrid role with the expectation to be in the Milwaukee office 3 days a week.

Skills You Have:

Analytical Thinking:
Creates business knowledge through data analysis and applies appropriate analytical methods to inform decisions.

Data Analytics:
Core advanced capability for turning data into actionable business knowledge.

Engineering Expertise & Practices:
Explores engineering judgment, maintainability, quality, and technical practices.

Adaptive Communication:
Conveys complex information about…