Senior Data Analyst |

Location:- Remote
Job Type:- Contract
Experience:-5+ Years
Must-Have Skills
5-7 years of experience in data modeling, analysis, and understanding of 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
Analyze, interpret, and present data using industry relevant software i.e. Snowflake, Alteryx, Tableau, Power BI, ArcGIS or other industry software
Effective oral and written skills
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
Decisive ownership of the data gathered and the ability to make informed, critical decisions quickly
Experience executing corporate-wide initiatives: defined project plans, coordinated resources, managed implementation activities, and developed all processes associated with program rollout and ongoing support
Description
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.
Core Responsibilities
Actively collaborate with business leaders to understand their business goals and objectives and provide them with new data analytics solutions to enable them to expand markets and grow membership, sales, investments, and charitable giving through the following:
Enhancing existing, as well as developing new predictive analytics work product, visualizations, and workflows to analyze complex business issues, offering actionable insights and solutions for driving operational enhancements and enterprise growth through strategic data-driven decisions.
Identifying and enhancing valuable data sources (within the organization and externally) through the enrichment of existing in-house data with third party data sources.
Communicating insights through the development and implementation of data visualizations, dashboards, and reports for internal and external use.
Collaborating with Department managers, IT, IT Security, Data Warehouse, vendors, and contractors with regards to enterprise and departmental data needs.
Remaining current on new analytical trends, practices, technologies, and solutions, where appropriate to ensure their timely introduction for competitive advantage.
Grow a culture of data analytics by providing training, awareness, and other events such as "data days for employees in the business whose duties encompass data and analytics.
Meeting with stakeholders and making communication easy and transparent regarding project issues and decisions.