Data Analyst

The Senior Data Analyst must have experience working with business stakeholders to identify business requirements and be proficient in using Power BI to create data models, visualize data, and share assets. Candidate must also be proficient in using Power Query and writing expressions by using Data Analysis Expressions (DAX).

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 delivering 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.

Skills Qualifications

Education

Physical Demands

Must be able to remain in a stationary position for a majority of the workday.