Hybrid Data Analyst na ARAG North America

Are you service-minded and detail oriented? Do you have a passion for data analysis and a desire to learn and grow in the field?

ARAG is hiring a Data Analyst! This person will be responsible for collaborating with stakeholders and completing reporting and analysis requests to support successful business decisions. Enjoy a flexible schedule, hybrid work environment, casual dress code, collaborative culture, and a beautiful workspace!

• Manages and completes routine data and reporting requests from internal stakeholders across the company, both promptly and accurately.
• Works collaboratively with others to identify and understand the business problem, question(s) and/or data need.
• Documents project work, queries, and correspondence to facilitate and streamline related work requests going forward.
• Works with internal stakeholders to understand various data sources and ensure quality and accuracy of the data and alignment with project needs.
• Performs data validation and cleansing.
• Identifies and recommends process improvement opportunities in areas such as data collection and validation and automation.
• Works with stakeholders to define data requirements and builds, edits, and updates reports and dashboards.
• Collaborates with business stakeholders to understand the meaning of data fields, document data rules, and write business definitions.
• Uses knowledge of data and business processes to make recommendations to stakeholders.
• Actively seeks opportunities to learn new knowledge and skills.
• Actively contributes to evaluation of possible solutions to problems.
• Serves as a positive role model by representing the ARAG At Its Best Values.
• Other duties as assigned.

Knowledge

• Data querying capabilities.
• Knowledge of data structures and relationships.
• Understanding of processes to ensure data quality and accuracy.
• Knowledge of and experience with business intelligence reporting and data visualization tools (Power BI preferred).
• Understanding of data governance and best practices for data quality and stewardship is preferred.
• Basic conceptual knowledge of predictive analytics and machine learning preferred.

Skills

• Ability to translate complex data and concepts into language and visualizations that can be readily understood by business stakeholders.
• Ability to understand business issues and provide guidance and recommendations from a data perspective.
• Experience with data cleansing and validation.
• Able to take ownership and independently manage requests from initiation through execution to completion.
• Strong communication skills, including the ability to effectively communicate analysis to diverse audiences.
• Ability to clearly communicate data definitions, rules, and parameters in business-friendly language.
• Detail-oriented and able to balance multiple projects simultaneously.
• Experience with SQL and performing data queries strongly preferred.
• Proficient in Microsoft Office Suite (Excel, Power Point, Word and Outlook).

Education – Four-year college degree in business, marketing, statistics, business analytics or related field from an accredited college or university, or equivalent experience.

Experience – Minimum of 3+ years of experience.

Certifications – None required.

Physical - Minimal travel required. Reasonable accomodations may be made to enable individuals with disabilities to perform the essential functions.