Job Description

Job Description

Job Title: Senior Analyst, Data Science & Analytics

Location: NYC - Hybrid

Salary: $90,000 - $118,000

Contact: alley.williams@forsythbarnes.com

This position is not available for C2C or C2H and the client is unable to sponsor at this time.

About Us

We are collaborating with a respected organization in the textiles and apparel manufacturing and retail sectors. Renowned for its commitment to innovation and quality, this organization delivers exceptional products while fostering a collaborative workplace that supports professional development and teamwork.

Job Description

The Analyst, Data Analytics & Data Science position plays a key role in designing and implementing reporting tools such as metrics dashboards to support data-driven decision-making and strengthen operational controls across new and existing processes. This role also focuses on collecting and analyzing data to develop business cases and ROI assessments that identify and drive improvement opportunities throughout the organization.

Key Responsibilities

• Manage operational requests by defining technical requirements and developing SQL queries to deliver reports, metrics, and dashboards using Power BI
• Design advanced Power BI reports and dashboards utilizing DAX and other advanced features
• Support data cleansing, analytics workflows, and presentation of multiple analytics initiatives
• Act as a liaison between business stakeholders and IT teams, as directed by management
• Ensure clear understanding of business objectives and deliverables
• Contribute to prioritization, estimation, and scoping of strategic initiatives
• Document and analyze business and technical requirements thoroughly
• Participate in collaborative problem-solving with business users and leadership
• Support change management efforts and lead end-user training sessions
• Partner with IT to resolve system issues and improve processes
• Provide regular updates on project progress and issue resolution

Requirements

• Bachelor’s degree in Engineering, Mathematics, Computer Science, or a related field
• 1–2 years of experience developing business or technology solutions
• Exposure to R and Python, with a foundational understanding of machine learning concepts
• Familiarity with data warehouse and business intelligence tools, particularly Power BI
• Proficiency in DAX, Power Query, and Power BI features
• Ability to read and write SQL queries proficiently
• Strong working knowledge of Microsoft Office tools (Excel, PowerPoint, Word, Visio, SharePoint)
• UI/UX Exposure
• Exposure to Databricks
• Experience in the corporate retail sector is a plus

Desired Skills & Characteristics

• Strong analytical and modeling skills with the ability to visualize complex concepts
• Interest in analyzing complex business relationships
• Excellent critical thinking, project management, and communication skills
• Comfortable working across both detailed operational tasks and strategic initiatives
• High intellectual curiosity with a results-driven mindset
• Self-motivated and capable of managing multiple projects simultaneously
• Strong time management and organizational skills
• Exceptional verbal and written communication abilities
• Ability to combine quantitative expertise with strong interpersonal skills
• Thrives in a fast-paced, dynamic environment

Other

As the organization continues to evolve, data engineering and MLOps capabilities will become increasingly important. Experience with Databricks and Python-based tools is essential, along with the ability to adapt to the rapidly changing analytics landscape.

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