Business Intelligence Analyst

Job Type : Direct

Hours : Full Time

Required Years of Experience : 5 years

Required Education : Bachelor�s degree in computer science, Data Science, Business, or a related field.

Travel : No

Relocation : No

Job Description :

Summary

Responsible for analyzing complex data sets, creating insightful reports, and providing actionable recommendations to drive business decisions.

This role requires a combination of financial acumen, data analysis skills, and effective communication to collaborate with internal teams and external clients.

Essential Functions:

Market Research:

Conduct market surveys and research to understand industry trends and the competitive landscape.

Gather data on industry targets, competitors, and market conditions using various methods such as surveys, interviews, and data analysis tools.

Data Management:

Organize, and manage industry data from various sources (Industry journals/Salesforce/.

Work with RSM’s and Top Accounts to align forecasting models (CCC/Customer)

Collaborate with Demand Planning to develop predictive forecasting model for sales and operations

Data Analysis:

Identify trends, patterns, and insights of emerging opportunities by industry.

Identify customers forecast variances and trends to adjust accordingly with sales and operations

Reporting:

Develop and maintain dashboards and reports by industry to proactively identify potential opportunities.

Develop monthly demand planning highlights

Create monthly/annual trends report to support account development, planning and management

Collaboration:

Work with cross-functional teams to understand data needs and provide insights (Sales/Marketing/Demand Planning/operations).

Documentation:

Develop and maintain documentation for BI processes and solutions.

Coordinate activities with and in support of Regional Sales Managers

Create and maintain positive and productive relationships with both external and internal customers.

Other duties as assigned.

Required Qualifications :

Competencies

Experience with data warehousing and ETL processes.

Knowledge of statistical analysis and data mining techniques.

Experience developing primary and secondary market research

Ability to interpret large quantities of data and communicate findings effectively.

Proficiency in Microsoft Office Suite, SQL, Tableau, or other data analysis tools.

Attention to detail, flexibility, and problem-solving skills in a dynamic, fast-paced environment.

Time management and analysis skills.

Strong written and verbal communication skills to present findings to non-technical stakeholders

Ability to perform frequent calculations for copper price adjustments, metric conversions, advanced mathematical skills.

Supervisory Responsibility

· This position has no supervisory responsibilities.

This is a full-time position. Days and hours of work are Monday through Friday. Occasional evening and weekend work may be required as job duties demand.

Travel

10-15% travel is expected for this position.

Education and Experience:

Bachelor’s degree in computer science, Data Science, Business, or a related field.