[Hiring] Senior Data Analyst @NR Consulting

Role Description

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.

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.
• Enhance existing and develop new predictive analytics work products, visualizations, and workflows to analyze complex business issues, offering actionable insights and solutions for driving operational enhancements and enterprise growth.
• Identify and enhance valuable data sources through the enrichment of existing in-house data with third-party data sources.
• Communicate insights through the development and implementation of data visualizations, dashboards, and reports for internal and external use.
• Collaborate with Department managers, IT, IT Security, Data Warehouse, vendors, and contractors regarding enterprise and departmental data needs.
• Remain current on new analytical trends, practices, technologies, and solutions to ensure their timely introduction for competitive advantage.
• Grow a culture of data analytics by providing training, awareness, and events such as “data days” for employees in the business whose duties encompass data and analytics.
• Meet with stakeholders and ensure communication is easy and transparent regarding project issues and decisions.

Qualifications

• Analyze, interpret, and present data using industry-relevant software (e.g., Snowflake, Alteryx, Tableau, Power BI, ArcGIS).
• Effective oral and written communication skills.
• Comfortable discussing technical matters with businesspeople and business matters with technical people.
• Demonstrated success in getting buy-in for ideas with an 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.

Requirements

• BS or BA required; advanced degree in Business, Data, Statistics, or a related field preferred.
• 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.
• Demonstrated success in providing projects and teams to achieve milestones and deliverables.