Job description

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.

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