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Senior Solution Engineer – BI (Remote)

Midland States Bank

This is a Full-time position in Champaign, IL posted December 14, 2021.

At Midland States Bank, we believe that when we can bring our whole selves to work each day, we become happier, more comfortable, more confident and more excited to do great things for our customers, each other and our company.

We’re proud to be an Equal Opportunity and Affirmative Action employer.

At Midland, we recruit, employ, train, compensate and promote without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you are looking for a place to grow, we encourage you to apply at Midland States Bank, because you belong here.

Position Summary

This role participates in the complete Analytics development lifecycle, including data profiling, report and dashboard/scorecard design and build, debugging/testing, and support and enhancements.

You will work closely with our business partners and other members of MSB IT.

The Senior Solutions Engineer
– BI provides data-driven solutions, using a variety of complex technologies and data sources.

Their deliverables include analytic-embedded processes and automation, business analytic modeling, and ad-hoc data discovery – and ultimately enables business insights.

This role reports to the Team Lead – Data Analytics.

Primary Accountabilities
Consult with business owners and leaders on ways to improve efficiency, increase revenue, and reduce risk using analytics.
Communicate complex data analysis concepts to diverse audiences in non-technical terms.
Lead business data gathering, analysis, and reporting projects.
Develop conceptual and logical data models to meet business data management, process automation, and decision support needs.
Provide governance and best practices for the development and management of analytic models and reports.
Develop and manage documentation and logs to support the accuracy and controls of analytic models and reports.
Conduct and lead design reviews and code reviews for projects.
Participate in system architecture reviews of enterprise standards for analytic models and reports.
Provide leadership and governance of development best practices
Participate in all aspects of the application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment.

Manage releases of analytic models and reports throughout the SDLC.
Ensure data security and privacy issues are taken into consideration during design, development, and deployment.
Implement and support analytic models and reports, including backups, recovery, tuning, security, accuracy.

Capture and analyze model and report performance to identify improvements in indexing, file structure, maintenance processes, and query performance.
Plan and conduct periodic reviews of analytic models and reports through the lifecycle, retraining or retiring models no longer fit-for-use.
Maintain and expand expertise in one or more technical skills through continuous self-study, training, and certifications.
Mentor other team members on team standards, tools and techniques.
Maintain compliance with all applicable regulations including, but not limited to, the Bank Secrecy Act (BSA).
Position Qualifications
BS or MS in Computer Science, Information Systems, Statistics or related quantitative or business field.

9+ years of experience designing, implementing and managing data models and analytic models
Expert in Relational database querying using SQL (Oracle, Microsoft, MySQL etc.)
Expert with data visualization and reporting tools, such as MS PowerBI or Tableau
Expert verbal and written communication skills.

Can communicate effectively with technical and non-technical audiences at any level.
Advanced experience in a variety of analytic software and technologies is a plus, including
Analytic Modeling (SAS, SPSS, R)
Linux and Windows operating systems
Scripting using Python, Perl, PHP, DOS Batch, SFTP etc.
Cloud-based analytics platforms such as RedShift, Snowflake, Azure
Big Data analytics tools (Hadoop, Pig, Hive)
Automated data test suites such as QuerySurge
Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools quickly
Prefer experience with:
Banking or Financial Services industry
General accounting principles
Various bank application databases and how information is stored (e.g., Call Report codes, various bank applications and related financial codes
Data testing tools and methodologies for reconciliation of data to base applications
SOX requirements
Experience in ITIL or other formal SDLC methodologies and governance practices

Business insight
Cultivates innovation
Drives results
Makes sound decisions
Being a brand champion
Communicates effectively
Customer focus
Being Authentic
Emotional Intelligence
Self development
Being flexible and adaptable

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Midland States Bank Human Resources at .


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