Senior Data Insights Strategist

NMDP•Minneapolis, MN

1h•$90,000 - $115,000

About The Position

The Senior Data Insights Strategist is responsible for utilizing complex data to inform actionable insights that drive informed business decisions and strategy. This includes tracking, visualizing, and analyzing data to provide actionable insights and recommendations. This person will advocate for business data needs to support advancing the mission of NMDP. This role is involved in spearheading in-depth discussions with business stakeholders to gain a deep understanding of departmental goals and the challenges to achieving them. Based on these findings and partnering closely with the other Enterprise Analytics & Insights teams in data science, data enablement, digital analytics and market research, this person will identify solutions to provide holistic insights to leaders and manage data strategy to completion.

Requirements

Strong computer skills, including experience with Microsoft Office software
Strong experience writing queries (SQL) and experience with large data sets and complex integrated systems – strong knowledge of databases and spreadsheets
Proficient in data visualization and reporting tools
Familiarity with data governance and quality management practices
Experience in strategic planning and performance measurement
Strong experience across a range of analytics projects and teams
Exemplify NMDP standards
Develop strong relationships and build trust and confidence with partners
Influence with strong problem-solving skills and a solutions-oriented mindset
Promote a culture of constructive critique, active participation in meetings, and a proactive approach to problem solving within the organization
Translate complex data into actionable business insights
Be a self-starter and work in a fast-paced environment, work through ambiguity, and adapt as the business evolves over time
Lead by example and model a high level of professionalism and service orientation
Rapidly learn new technologies and processes, and successfully apply them to projects and operations
Solidify and drive process improvement
Bachelor's degree with professional experience in health care, business analytics, project management, or a related field
Upon evaluation, 4 years, related experience and/or education may be substituted for the degree requirement
5+ years of experience in data consulting, data strategy implementation, synthesizing data projects, and providing stakeholder recommendations related to business operations
Prior experience with data visualization processes and tools, project management methodology, and data storytelling is highly preferred

Nice To Haves

Knowledge of and experience with data visualization tools, such as Looker, Tableau, Power BI, and Salesforce
Previous experience leading projects or teams
Previous experience at NMDP or in a health care provider setting

Responsibilities

Lead discussions with department leaders on emerging data needs and advocate for new data capabilities and/or technology solutions as needed.
Lead discussions with business leaders to develop data strategy for each department.
Manage intake, prioritization, and assignment of new data requests.
Synthesize data to provide insights and recommendations to leaders.
Proactively monitor department metrics, identify trends, and discuss intervention strategies with leaders.
Serve as the liaison between the business and Enterprise Analytics & Insights.
Support the business in developing data visualization tools, advising on business requirements, and providing quality checks and technical expertise.
Collaborate with Sr Data Insights Strategist teammates to align strategies across various business units to provide holistic insights and process improvements.
Generate a data-driven culture within the business by coaching teams on data competency.
Develop deep business acumen of NMDP and mentor other team members.
Develop and maintain strong working relationships with business leaders, IT developers, and other departmental data partners.
Develop deep technical knowledge of data nuances and mentor other team members.