Data & Business Intelligence Analyst
Flexton
About the role
About
Flexton is a growing IT services and staffing company serving some of the world's most renowned and Fortune-listed companies across industries such as eCommerce, HighTech, Banking & Financial Services, Insurance, and Healthcare. With a global presence spanning the US, Canada, Europe, Colombia, Mexico, and India, Flexton offers its clients cost-effective solutions through onsite, offshore, and nearshore models. Flexton provides its employees with opportunities for growth, meaningful work, and continuous learning!
We are a global professional networking platform dedicated to helping individuals of all backgrounds and experiences achieve more in their careers. Our mission is to create economic opportunity for every member of the global workforce. Every day, our users leverage our platform to build connections, client opportunities, develop skills, and gain valuable insights.
We foster an inclusive environment where collaboration and a strong sense of belonging drive innovation. We believe that success comes from having the right skills and mindset to make an impact.
Job Details
- Job Title: Data & Business Intelligence Analyst
- # of Headcount: 01
- Duration: 2 months, extension TBD
- Pay Range: $49.21 - $58.05 Hourly
- Location: Remote
- Employment Type: Full Time
This role offers the flexibility to work remotely from most locations within the country of employment.
Responsibilities
- Lead data-driven recommendations and insights to support strategic projects across business operations
- Understand business processes, monitor data quality, and provide actionable insights and recommendations
- Support company-wide initiatives through ownership of analytical projects
- Build strong relationships with cross-functional stakeholders (e.g., sales, finance, operations, systems) to achieve objectives
- Own technical implementations and maintain documentation related to datasets, ensuring high accuracy
- Explore and implement advanced analytics tools and AI techniques for optimization (e.g., cloud platforms, automation, AI/ML methods)
- Lead data cleanup initiatives by applying analytical judgment to complex datasets and establishing scalable frameworks
- Execute data updates in CRM and related systems, ensuring data accuracy, consistency, and completeness
Basic Qualifications
- 2–4 years of experience working with data in a business environment (data management, operations, reporting, or analytics)
Preferred Qualifications
- Bachelor's degree in a quantitative field
- Experience leveraging AI tools for data analysis and insights
- Familiarity with advertising and media agency ecosystems and client–agency structures
- Strong analytical and problem-solving skills with the ability to influence decision-making
- Proven ability to collaborate and build partnerships across teams
- Experience handling large-scale structured and unstructured datasets
- Proficiency in SQL and experience managing data warehouse tables
- Experience with distributed data systems (e.g., Hadoop, Spark, Hive, Presto)
- Experience with at least one programming language (e.g., Python, R, Java, Scala, JavaScript)
Suggested Skills
- Data Analytics
- Collaboration
- Communication
Requirements
- 2–4 years of experience working with data in a business environment (data management, operations, reporting, or analytics)
Responsibilities
- Lead data-driven recommendations and insights to support strategic projects across business operations
- Understand business processes, monitor data quality, and provide actionable insights and recommendations
- Support company-wide initiatives through ownership of analytical projects
- Build strong relationships with cross-functional stakeholders (e.g., sales, finance, operations, systems) to achieve objectives
- Own technical implementations and maintain documentation related to datasets, ensuring high accuracy
- Explore and implement advanced analytics tools and AI techniques for optimization (e.g., cloud platforms, automation, AI/ML methods)
- Lead data cleanup initiatives by applying analytical judgment to complex datasets and establishing scalable frameworks
- Execute data updates in CRM and related systems, ensuring data accuracy, consistency, and completeness
Skills
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