Business Data Analyst at Colibri Group

Business Data Analyst

Job Description

Position Overview:

The primary job function for this position will be to extract, transform, and analyze customer data to empower business leaders to make data driven decisions. The Business Data Analyst extracts data from various sources and provides insights, reports, and visualizations to business leaders effectively. Identifying more efficient ways to collect and analyze data so work can be scaled throughout the organization.

What You'll Do

Extracts data from primary and secondary sources, assess quality of data, make necessary transformations for data to be used in Business Intelligence tools

Learn the programming and logic used to create the key reports produced by the Analytics department

Create dashboards that visualizes data for stakeholders

Experience tracking and reporting on user behavior

Pull records for customer data requiring complicated logic and data source integration

Use a variety of software, such as Excel, PowerBI, Alteryx, and programming languages to extract, manipulate, and format data and files

Evaluate the key take-aways and convey the findings to management concisely.

Communicate insights effectively

What You'll Need to Succeed

Minimum of 2 years as an Analyst or related experience

Bachelor’s degree in Math, Statistics, Computer Science, Business, Economics or related field

Experience in PowerBI and/or other visualization tools

Proficient in SQL (Structured Query Language)

Familiarity with R, Python a plus

Proficient in using Microsoft Excel (intermediate to advanced level)

Proficient in statistical and mathematical data analysis techniques such as regression analysis a plus

Familiarity with machine learning techniques a plus

Netsuite experience a plus

Strong analytic and critical thinking skills

Inherent curiosity and enthusiasm

Strong verbal and written communication skills and experience and confidence engaging with senior leadership.

Self-Motivated Independent

Experience with data lakes and data warehouses

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