What are the responsibilities and job description for the Senior BI Data Analyst position at Mentis Systems?
Role :- Senior BI Data Analyst
Duration : 12 Months Contract
Location: St. Louis MO 63102
Job Description:
NOTE:
The team PREFERS candidates local to St.Louis, MO. .
POSITION SUMMARY: As a Senior BI Data Analyst, you will help create analytical insights and deliver strategies to achieve key business objectives and drivers. You will be a key partner promoting collaboration with cross-functional teams to design innovative reporting capabilities that provide key insights, quality metrics, and business KPI's. Handling various work assignments, while consistently deliver high quality work, and will apply experience in analytics, data visualization, simulations, and predictive modeling to find solutions for a variety of business and technical problems. The role acts as a key business partner for the Strategy and Insights Group, visualizing and structuring data to uncover meaningful insights in an agile manner.
PRIMARY RESPONSIBILITIES :
Build complex models to assess operational opportunities and drive implementation cross functionally. Leverage diverse technology platforms to refine and automate data sources and harmonize data points.
Experience with Power BI (or comparable platform) including visualization, parameters, report optimization, creating measures, modeling, reports/dashboards, and dataflows.
Transform data into actionable intelligence to support business objectives
Clearly communicate insights in context while translating data into visualizations that aid decision-making. Demonstrate business acumen and align with business priorities. Must recognize their audience and shift messaging for optimal reception from others in the organization.
Tie together a business problem and technology solution that may not have a clearly defined relationship or organizationally paved path to ultimately derive rich consumer insight.
Contribute to team efforts by accomplishing projects, enhancements and solving problems relating to ongoing initiatives. Collaboration with stakeholders within the commercial organization may be necessary.
Education: Associates Degree in IT, Engineering, Data Science, or related field.
Experience (Years/Type):
5 years of experience in Data Analytics, Data Science, Engineering, Statistics or related technical field.
2 years of experience in Power BI
2 years of Power Query transformation and model optimization within Power BI
Proficiency with Databricks and SQL.
