Data Analyst

Compunnel Inc.; Smithfield (RI); On-site; USD 90,000 - 130,000; Full time

Job summary

Compunnel Inc. is seeking a Data Analyst to leverage analytical skills and data-driven insights to support business strategy and enhance customer experience.

This role focuses on analyzing diverse data sources, identifying trends, and delivering actionable insights that drive decision-making and optimization initiatives. The ideal candidate will have extensive experience with large datasets, collaborate across teams, and translate complex data into clear narratives that inform product

Qualifications

• Bachelor’s degree or equivalent practical experience in a quantitative field.
• 10+ years of experience generating analytical insights to support business strategy.
• Strong proficiency in SQL, Python, or R.
• Experience with large and complex datasets.
• Strong data storytelling and visualization skills.
• Experience developing dashboards using Tableau/Power BI/Qlik.
• Strong collaboration and communication skills.
• Ability to translate data insights into actionable business recommendations.

Responsibilities

• Analyze data from multiple sources to generate actionable insights
• Develop insights to support customer acquisition, segmentation, and product strategy
• Translate complex data into clear narratives for stakeholders
• Design and develop dashboards using Tableau, Power BI, or Qlik
• Support experimentation and data-driven decision-making to improve customer experience
• Collaborate with cross-functional teams including analytics, engineering, marketing, and product development
• Identify trends and opportunities for optimization within customer journeys
• Work with structured and unstructured data, including behavioral data
• Contribute to hypothesis-driven analysis and strategic initiatives

Skills

SQL

Python

R

Data storytelling

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Power BI

Qlik

Job description

We are seeking a Data Analyst to leverage analytical skills and data-driven insights to support business strategy and enhance customer experience. This role focuses on analyzing diverse data sources, identifying trends, and delivering actionable insights that drive decision-making and optimization initiatives.

The ideal candidate will be experienced in working with large datasets, collaborating across teams, and translating complex data into clear, meaningful narratives.

Key Responsibilities

• Analyze data from multiple sources (e.g., customer behavior, transactions, digital activity, financial data) to generate actionable insights
• Develop insights to support business initiatives such as customer acquisition, segmentation, and product strategy
• Translate complex data into clear, compelling narratives for stakeholders
• Design and develop dashboards and reports using tools such as Tableau, Power BI, or Qlik
• Support experimentation and data-driven decision-making to improve customer experience
• Collaborate with cross-functional teams including analytics, engineering, marketing, and product development
• Identify trends, opportunities, and areas for optimization within customer journeys
• Work with structured and unstructured data, including behavioral and sentiment data
• Contribute to hypothesis-driven analysis and strategic initiatives

Required Qualifications

• Bachelor’s degree in Data Analytics, Business Analytics, Economics, Statistics, Finance, or a related quantitative field, or equivalent practical experience
• 10+ years of experience generating analytical insights to support business strategy
• Strong proficiency in analytical tools and programming languages such as SQL, Python, or R
• Experience working with large and complex datasets
• Strong data storytelling and visualization skills
• Experience developing dashboards and reports using tools such as Tableau, Power BI, or Qlik
• Strong collaboration and communication skills
• Ability to translate data insights into actionable business recommendations

Preferred Qualifications

• Master’s degree (e.g., MBA or MS) in a relevant field
• Experience with digital analytics, customer behavior, or sentiment analysis
• Experience working in Agile or cross-functional product teams
• Strong curiosity and ability to learn new tools and techniques