Data Analyst

Company Description

InterLinked Recruitment specializes in connecting exceptional candidates with forward-thinking businesses to create harmonious synergies in building stronger, more dynamic workforces. They are dedicated to bridging the gap between talent and opportunity to transform ordinary organizations into extraordinary ones.

Role Description

This is a full-time (hybrid) Data Analyst role for a client of InterLinked Recruitment. The Data Analyst will be responsible for conducting data analysis, developing data models, and communicating insights effectively. This role is located in Scottsdale, AZ, with the flexibility for some remote work. More details below:

Responsibilities:

• Conduct Data analyses on complex datasets, using advanced analytical techniques to derive insights.
• Design, build, and deliver reports, dashboards and data visualizations that empower our customers to unlock the full potential of the platform.
• Analyze customer data (qualitative and quantitative) to uncover trends, provide actionable insights, and identify opportunities for improvement.
• Develop and maintain a repository of standardized and customized reporting templates for efficiency and consistency.
• Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences.
• Partner with various departments (e.g., marketing, sales, product, operations) to understand business needs and align data projects with organizational goals.
• Perform ad-hoc and in-depth analyses and translate them into insights that can be interpreted and actioned by business executives and stakeholders.
• Partner with internal technical teams to address data gaps, improve data quality, and enhance reporting capabilities.
• Design, develop, optimize, and deploy traditional machine learning and deep learning algorithms, models, and applications.
• Develop and implement machine learning (ML) models to extract insights from data.

Requirements:

• Minimum of 4 years of experience in a data analytics role in a professional setting with strong problem-solving skills.
• Bachelor’s Degree in an analytical field (e.g., Computer Science, Business Management, Engineering, Information Systems, Mathematics, Statistics or specialized training/certification) or equivalent relevant experience.
• Strong experience in data analysis with a deep understanding of statistical methods, data manipulation, and pattern identification.
• 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
• Experience engaging in independent data analysis that uncovers insights coupled with the ability to communicate those insights effectively to spark company change. 
• Strong proficiency in data visualization tools (e.g., Quicksight, Tableau, Power BI).
• Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
• Proficiency in Python and SQL.
• Excel Mastery: Advanced Excel skills, including macros, pivot tables, and complex formulas.
• Proven experience developing solutions utilizing Data Lakes and working in Cloud platforms.
• Experience with Agile Methodology.