100% remote - Senior Data Analyst-Data Analytics and Insight

Senior Data Analyst-Data Analytics and Insight (Contract to Hire) W2 only or Incorporation Work location: Connecticut (100% remote) Mandatory Skills: MS Fabric, Power BI, Snowflake, BFSI (Banking OR Financial OR Insurance experience)

Overview

This role will be part of a diversified analytical team, whose aim is to expand new and upcoming data science and predictive methodologies, to provide strategic market insights that enable effective, data driven decision-making for business units, while staying closely aligned to brand strategy and priorities. The Senior Data Analyst is responsible for identifying, building, and maintaining data analytics solutions to meet the needs of business users. This role will produce analytics products by working with the business and the other data analysts to deliver outcomes of moderate to advanced complexity. This role will serve as a mentor and advisor to mid-level and junior data analysts. Skills Qualifications Analyze, interpret, and present data using industry relevant software i.e. Snowflake, Alteryx, Tableau, Power BI, ArcGIS or other industry software. MS Fabric and Power BI administration experience Effective oral and written skills. Being comfortable talking about technical matters with businesspeople and business matters with technical people. Demonstrated success at getting buy-in for ideas with a demonstrated affinity for metrics. Excellent team building, motivating, and conflict-resolving qualities. Ability to manage key customer relationships, including senior managers. Ability to analyze information to find trends or diagnose problem areas. Be decisive ownership of the data gathered and the ability to make informed, critical decisions quickly. Education BS or BA required. Advanced degree in Business, Data, Statistics, or a field related to essential duties of the position preferred. 5-7 years of experience in data modeling, analysis, and understanding relevant business and data requirements. Record of business process improvement using data and statistical analysis. Effective verbal and written communication skills to work with both business and technical partners. Demonstrated ability to conduct statistical or mathematical modeling. Demonstrated success in providing projects and teams to achieve milestones and deliverable’s ability.