Senior Business Intelligence Analyst

Milwaukee County•Milwaukee, WI

1d•$84,032 - $126,048

About The Position

The Enterprise Data Services (EDS) team is seeking a highly curious and growth-oriented individual who is passionate about delivering data products that drive organizational strategic decision-making and surpass the expectations of the end-users. The Senior Business Intelligence (BI) Analyst will work on all phases of the analytics lifecycle, including data collection, profiling, manipulation, storage, and validation, as well as data analysis, measure development, report creation, data visualization, and production support. The Senior BI Analyst exercises independent judgment and discretionary decision-making related to managing multiple and more complex reporting projects but also collaborates with a larger team working in an agile process. The Senior BI Analyst will participate in delivering data products and may present to various levels of management and staff and may also be included in action plan development. While performing the day-to-day tasks successfully in this role is critical, the Senior BI Analyst must be outcome-based and keep the overarching project goals and vision at the forefront, and both make and execute recommendations to achieve those. Customer experience must be central to how the Senior BI Analyst approaches their work. We are seeking a team member who is excited about data and helping their customers solve business problems with high-quality data solutions. Candidates with a demonstrated track record of strong collaboration with both IT and non-IT customers, easily adapting to varying business domains, creating structure out of ambiguity, and delivering technical solutions will be given preference in the hiring process.

Requirements

Current resident of the State of Wisconsin.
Bachelor’s degree or above in Statistics, Mathematics, Economics, Computer Science/MIS, or Engineering; or related field or experience.
At least five (5) or more years of experience in: Enterprise Data Warehousing (EDW)
Speaking to technical people in this industry and understanding what a Data Warehousing application is supposed to look and function like
Understanding how the Star Schema works, what a fact table and data dimension is and how they relate
Business Intelligence Analyst role and delivering data processes and products that drive organizational decision-making
Proficient in SQL language.

Nice To Haves

Significant experience in addressing untidy data
Translating ambiguous business needs to technical requirements
Previous experience in Azure Data Lake Storage gen2 and Azure Databricks
Proficiency in Python, including Pyspark
Experience developing ETL or ELT solutions
Leveraging descriptive statistics to gain an initial understanding of a new data set
Conducting diagnostic analysis to help understand the ‘why’ behind data trends and results
Utilizing BI tools such as Power BI or Tableau to visualize data and communicate a story
Utilizing other tools such as Microsoft SQL Server Management and Visual Studio
Proven track record of efficiently learning and implementing new technologies on the job
Understanding how business intelligence reporting solutions fit within an enterprise data model and within data architecture
Proven analytical, critical thinking, and problem-solving abilities
Proficient in spreadsheet, reporting, and database tools (e.g., Excel, Access, other Microsoft Office applications)
Proficient understanding of database structures, relational databases, and concepts
Excellent listening and time management skills
Successfully communicating complex, technical items to non-technical people in an easy-to-consume fashion
Proven aptitude and interest in working with complex situations/problems, systems, and processes
Ability to work independently and within teams
Flexibility to meet organizational and departmental demands
Working in an Agile development process using Jira to track sprints
Previous experience in predictive analytics, machine learning modeling, and statistical analysis

Responsibilities

Assists in the intake process of new data program initiatives and projects, including defining business goals, desired outcomes, user stories, and requirements
Delivers data products, including dashboards and other analytics products, that are audience-specific
Creates automated data pipelines to assist in data extraction, transformation, and storage for report creation, analytics, and self-service
Conducts data profiling of source data, including descriptive statistics, to identify data quality issues and other opportunities to gain a better understanding of the data to deliver quality data products to the end-users
Conducts regular audits of work to ensure accuracy. Participates in the testing phases of development prior to User Acceptance Testing
Provides production support for all data products provided by EDS
Participates in continuous improvement processes to advance the maturity of the EDS team and larger organization, including proactively identifying and learning about new technologies or opportunities to improve the work of the team
Mentors others on the team and in the business on how to leverage specific data and technology to enhance the work of the county
Utilizes project management knowledge and skills for assigned departmental projects, establishing timelines, tasks, follow-up items, and communication to ensure all tasks and activities are completed within the project needs
Participates in other departmental and organizational activities/initiatives tied to data, analytics, and technology
Determines appropriate analysis techniques and methods to provide data products that address the business strategic goals and questions
Identifies new opportunities and insights in the data to make recommendations to the business
Clearly presents data initiative results to all levels of the business in a consumable fashion that is audience-specific