[Hiring] Data Analyst @NR Consulting

Role Description

Company is seeking a Data Analyst to join a growing team of data analytics professionals and a best-in-class Data Analytics Center of Excellence. 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 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 complexity.

Core Responsibilities

• Actively collaborate with business leaders to understand their business goals and objectives and provide them with new data analytics solutions.
• Enhance existing and develop new predictive analytics work products, visualizations, and workflows to analyze complex business issues.
• 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.
• Meet with stakeholders and maintain transparent communication regarding project issues and decisions.
• Other related duties as assigned.

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.
• Ability to uncover analysis on business improvement based on new data sets.
• Ability to articulate complex analysis and insights simply.
• 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.
• Understanding of CRM, ERP, and Data Warehouse/Data Lake applications and structures.
• Understanding of cloud-based application architectures.
• Expert understanding of project management.
• Excellent interpersonal, analytical, and problem-solving skills.
• Ability to engage people, provide feedback, articulate clearly, and actively listen.
• Teamwork skills with the ability to work in complex cross-functional settings.
• Comfortable working in a constantly changing work environment with multiple competing projects and priorities.
• Understanding of change management principles.
• Ability to gather data, compile information, and prepare reports.

Requirements

• BA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing.
• Master’s degree in Business, Statistics, Computer Science, or Marketing preferred, or equivalent professional experience.
• 3 to 5 years of data analysis, predictive modeling, and statistical modeling experience.
• Record of business process improvement using data and statistical analysis.

Systems/Technical Knowledge

• Experience using advanced data analytics and geo-spatial applications including Snowflake, Tableau, Alteryx, AQT, and ArcGIS.
• Strong SQL programming skills.
• Experience with predictive analytics using R and/or Python.
• Proficiency in data modeling, statistical analysis, data engineering, and data visualization.
• Experience with databases and similar applications.
• Experience in Access/Excel with VBA scripts, PowerPoint.