Senior Business Intelligence and Enterprise Data Business Systems Analyst - Onsite

Starkey•Eden Prairie, MN

9h•$88,550 - $126,000•Onsite

About The Position

Starkey is hiring a Senior Business Intelligence and Enterprise Data Business Systems Analyst at its global headquarters in Eden Prairie, MN. Do you have a passion for helping people connect the dots of how data is created, maintained, flows across systems, and impacts the business? Are you a proven change agent who can bring clarity and quality to data products and processes for a complex manufacturing business? This role will be focused on Data Governance initiatives such as Purview implementation within Fabric, Master Data Management, Cross functional KPI definitions. Starkey is a world leader in the manufacturing and distribution of advanced hearing technologies. We are in the business of connecting people and changing lives. Our teams come to work each day focused on ensuring people everywhere have the products and services they need to hear better and live better. Founded in 1967 by Bill Austin, Starkey is known for our cutting-edge hearing health innovations, industry-leading research and development, and not being afraid to push the edge of what’s possible. We are headquartered in Eden Prairie, Minnesota, have over 5,000 employees in 29 facilities across the globe, and do business in more than 100 markets worldwide. Watch this video to see more of what sets Starkey apart. https://youtu.be/9cUYwTlCepg?si=wkovx8_R_iINfrc6 JOB SUMMARY Senior Business Intelligence and Enterprise Data Business Systems Analyst partners closely with the technology and application development teams to ensure business partners are receiving accurate, timely data that meets their needs. Assists in data quality, democratization and facilitates understanding and transparency across the organization about foundational data sets. Responsible for evaluating and onboarding new data sets, as well as enhancing and decommissioning existing data. Subject matter expert on data sets – understanding their creation or ingestion, data model, and any associated transformations In partnership with the broader Data leadership team, data engineering and core business users -- prioritize and lead data product development against priorities and required maintenance Champion data quality and engage across projects to bring downstream insights to app developers Identify and mitigate risk and ensure quality controls are in place throughout the data product lifecycle Performs ad-hoc queries and analysis to support business needs and data discovery Helps to drive Enterprise alignment of Reporting and Analytics Strategy, best practices in data analysis and collection and reporting. Documents data in a standard manner to ensure all teams can access the information they need Partner with end users on training and championing data literacy Partner with Data Engineers, Developers, and BI Analysts on writing stories, documenting bugs and testing data sets Establish strong and collaborative relationships with business partners to help identify and understand ways that they can better leverage data Work with technology to understand complexity of various solutions and participates in decision making to choose the right technology and data ingestion patterns to solve customer problems Identify opportunities to automate tasks, leverage technology and reduce failure points in the product Perform other duties/responsibilities as assigned

Requirements

Undergraduate/first-level degree or graduate/second-level degree with an emphasis in finance, computer science, economics, accounting, math, or related quantitative field preferred
5 years of experience in a data related field such as Data Governance, Business Intelligence, Data Warehousing, or Analytics
Technical expertise regarding data mining, data analysis, segmentation, data visualization and reporting & analytics
Experience and proficiency using SQL for data analysisâ¯
Experience working with Agile product development processes
Prior experience analyzing relational and non-relational data sets
Previous experience presenting data to business stakeholders using data analytics tools, such Tableau, Power BI, Looker, QuickSight, Excel etc.
Expertise driving Data Governance initiatives in topics such as Data Quality, Master Data Management MDM, and Data Lifecycle Management.
Outstanding verbal and written communication skills
Superb analytical skills and persistence in problem solving
Demonstrated initiative, enthusiasm to learn, excel and be a part of a dynamic team
Excellent organizational skills and attention to detail

Responsibilities

Partners closely with the technology and application development teams to ensure business partners are receiving accurate, timely data that meets their needs.
Assists in data quality, democratization and facilitates understanding and transparency across the organization about foundational data sets.
Responsible for evaluating and onboarding new data sets, as well as enhancing and decommissioning existing data.
Subject matter expert on data sets – understanding their creation or ingestion, data model, and any associated transformations
In partnership with the broader Data leadership team, data engineering and core business users -- prioritize and lead data product development against priorities and required maintenance
Champion data quality and engage across projects to bring downstream insights to app developers
Identify and mitigate risk and ensure quality controls are in place throughout the data product lifecycle
Performs ad-hoc queries and analysis to support business needs and data discovery
Helps to drive Enterprise alignment of Reporting and Analytics Strategy, best practices in data analysis and collection and reporting.
Documents data in a standard manner to ensure all teams can access the information they need
Partner with end users on training and championing data literacy
Partner with Data Engineers, Developers, and BI Analysts on writing stories, documenting bugs and testing data sets
Establish strong and collaborative relationships with business partners to help identify and understand ways that they can better leverage data
Work with technology to understand complexity of various solutions and participates in decision making to choose the right technology and data ingestion patterns to solve customer problems
Identify opportunities to automate tasks, leverage technology and reduce failure points in the product
Perform other duties/responsibilities as assigned