For more than 100 years, we, as employee owners of Stearns Bank, have woven a sense of urgency, hard work and integrity into all we do. As a nationally-recognized, top-performing bank, we are known for our outstanding personal service and commitment to customer success. Today, we are strong enough to thrive in any economic condition and flourish through a culture of service,
family, community and teamwork. Stearns Bank - Member FDIC.

As a Data Analyst Strategist and Technology Engineer at Stearns Bank, you will play a critical role in driving data-driven decision-making and technology innovation across the organization. Leveraging your expertise in data analysis, strategy development, and technology engineering, you will collaborate with cross-functional teams to design, implement, and optimize data-driven solutions that drive business growth and enhance operational efficiency.

RESPONSIBILITIES

• Data Analysis and Insights: Utilize advanced data analysis techniques to extract insights from large datasets, identify trends, patterns, and correlations, and translate findings into actionable recommendations for business stakeholders. Develop predictive models, algorithms, and data visualization tools to support decision-making processes, optimize business performance, and drive strategic initiatives.
• Strategy Development: Collaborate with senior leadership and key stakeholders to develop data-driven strategies and roadmaps that align with business objectives and drive innovation across the organization. Conduct market research, competitive analysis, and industry benchmarking to identify opportunities for growth, differentiation, and competitive advantage.
• Technology Engineering: Design, develop, and implement technology solutions and platforms to support data analytics, reporting, and automation initiatives, leveraging tools and technologies such as SQL, Python, R, Tableau, Power BI, and cloud-based platforms. Architect and maintain data infrastructure, databases, and systems to ensure scalability, reliability, and security of data assets.
• Cross-Functional Collaboration: Partner with cross-functional teams, including IT, Marketing, Operations, and Finance, to gather requirements, define solution specifications, and ensure successful implementation and adoption of data-driven initiatives. Provide technical guidance, training, and support to stakeholders to enable self-service analytics and empower data-driven decision-making throughout the organization.
• Performance Monitoring and Optimization: Monitor and analyze the performance of data analytics solutions and technology platforms, identifying opportunities for optimization, scalability, and continuous improvement. Implement best practices, standards, and governance frameworks to ensure data integrity, privacy, and compliance with regulatory requirements.

REQUIREMENTS

• Occasionally lift and/or move up to 25 lbs.
• Ability to understand and follow instructions in English.
• Ability to sit for extended periods of time, twist, bend, sit, walk use hands to twist, handle or feel objects, tools or controls, such as computer mouse, computer keyboard, calculator, stapler, telephone, staple puller, etc., reach with hands and arms, balance, stoop, kneel, talk or hear.
• Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field; Master's degree or relevant certification preferred.
• Experience in data analysis, strategy development, and technology engineering roles, preferably in the financial services or banking industry.
• Strong proficiency in data analysis tools and programming languages, such as SQL, Python, R, and experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of data modeling, database design, and data warehousing principles, with experience working with relational databases and cloud-based platforms.
• Proven track record of developing and implementing data-driven strategies and technology solutions that drive business value and operational efficiency.
• Excellent communication, problem-solving, and stakeholder management skills.
• Ability to work independently as well as collaboratively in a fast-paced, dynamic environment. Strong analytical mindset, attention to detail, and a passion for leveraging data and technology to solve complex business challenges.