Responsible for the operational support of a client, including reporting, data collection, survey setup, and other adhoc requests
Lead standardized report design, automation and data administration
Leverage business and market relevant information to make data-driven decisions that allow Mosaic to achieve its sales and marketing objectives
Work with leaders to build and maintain field and client performance measurement tools (scorecard, reports, key performance indicators, etc.) using advanced IT technology such as PowerBI, SQL, Python, and Google Cloud
Collect, inspect, cleanse, and transform complex data sets
Manage data management systems, online set-up of surveys, scheduling, ensuring all operational tasks are executed
Compile and analyze weekly program results; utilize information to make recommendations that drive results on the program
Consolidate and streamline processes to ensure maximum efficiencies are realized
Remain informed on latest data trends, practice and process
Self-diagnosing issues and formulating solutions
Other duties as assigned
Requirements
Excellent communication skills, with the ability to interact comfortably with peers and leadership both internally and externally
Professional attitude working in an office environment
Must have previous data blending, data reporting and analysis experience with strong use of Excel and Power BI at an advanced to expert level; including working knowledge of simple and complex formulas, pivot tables, measures, and visualizations
Ability to execute standard measurement strategies within a project
Strong analytical and critical thinking with the ability to disseminate insight from large datasets
Meet tight deadlines, prioritize workloads and achieve results in a fast-paced, dynamic environment
Develop understanding of all areas of Mosaic business to find new opportunities for Operations
Proven ability to timely complete projects and achieves results in ambiguous work environment
A Bachelor’s degree in Economics, Business, Statistics, Computer Science, STEM, or related quantitative field, or equivalent practical experience
1-3 years of relevant professional experience
Experience in cleaning, transforming, and visualizing large data sets using software
Intermediate SQL knowledge
Analytical skills required - detailed data-analysis and comprehensive follow-up needed
Outstanding organizational skills, attention to detail, project coordination skills, and prioritization of tasks.