Data Insights Analyst

Top Prospect Group; New Jersey; Remote; USD 85,000 - 105,000; Full time

Job summary

Join a growing analytics team as a Data Insights Analyst where you will build innovative dashboards and unlock insights that drive strategic value. This full-time, remote role requires strong analytical skills, experience with data modeling, and a collaborative mindset to partner with cross-functional teams.

Qualifications

• 5+ years in analytics roles with success in deploying tools.
• 3+ years of experience in data modeling for advanced analytics.
• Strong understanding of data lineage and systems integration.

Responsibilities

• Design and build advanced reports and dashboards.
• Collaborate with stakeholders to define analytics solutions.
• Lead data validation and standardization efforts.

Skills

SQL

Dashboard creation

Data modeling

Data insights

Data analytics

Business analytics

Predictive modeling

Data mining

Education

Bachelor's degree in Data Science, Business Analytics, or Information Systems

Tools

Power BI

Tableau

Job description

Looking to make your mark in a growing analytics team? We're seeking a Data Insights Analyst to build innovative dashboards, unlock hidden trends, and deliver strategic value from day one.

Full Time, Direct Hire

$85-105K

REMOTE-Must be on the East Coast

Skills: SQL, speak to users, dashboard creation, produce reports, ETL tools, data modeling, data insights, data analytics, business analytics, predictive modeling, data mining

As a Strategic Data Insights Analyst you’ll serve as a key partner in evolving our analytics and business intelligence capabilities. Working closely with cross-functional teams and leadership, you will design and deliver data-driven solutions that improve decision-making, optimize performance, and create tangible value across the organization. This role blends technical expertise with business acumen, requiring a hands-on contributor who can both generate insights and guide others in understanding and applying them.

Key Responsibilities

• Analytics Development: Design and build advanced reports, dashboards, scorecards, and predictive models using modern data visualization and analytics tools.
• Data Consultation: Collaborate with business stakeholders to gather requirements, understand needs, and translate them into actionable analytics solutions.
• Business Partnership: Become a trusted advisor by understanding business processes, data flows, and performance drivers; provide guidance on interpreting and applying insights.
• Data Stewardship: Lead data validation and standardization efforts; maintain documentation including data definitions, validation checklists, training guides, and glossary terms.
• Tool Enablement: Conduct workshops and training sessions on analytics platforms and interpretation of results, fostering a culture of data fluency and self-service.
• Continuous Improvement: Review and refine analytics assets for consistency, usability, and brand alignment; proactively seek stakeholder feedback to improve solutions.
• Collaboration & Communication: Maintain strong communication with stakeholders to ensure alignment, transparency, and trust throughout the analytics lifecycle.

Required Experience and Qualifications

• 5+ years in business intelligence, reporting, or analytics roles with proven success designing and deploying analytics tools.
• 3+ years using data modeling and statistical software for predictive or advanced analytics.
• Strong experience gathering and interpreting requirements from business stakeholders.
• Familiarity with SQL (3+ years); experience with ETL and APIs is a plus.
• Bachelor's degree in a related field (e.g., Data Science, Business Analytics, Information Systems) or equivalent practical experience.
• Deep understanding of data lineage and systems integration in cross-functional environments.

Skills and Attributes

• Expertise in tools such as Power BI, Tableau, or similar platforms.
• Excellent storytelling ability with data — able to present complex findings in a clear, actionable way.
• Critical thinker with investigative instincts — able to identify root causes, outliers, and opportunities from large datasets.
• Comfortable communicating with both technical and non-technical audiences, including senior leadership.