Job title: Senior Data & Analytics Consultant - Finance / Accouting
Job type: Permanent
Emp type: Full-time
Salary type: Annual
Salary: USD $165,000.00
Location: USA
Job published: 19-04-2024
Job ID: 38776

Job Description

Senior Data & Analytics Consultant – Alteryx, Finance Transformation

Hybrid, Full time, United States (multiple locations, including Boston, New York, Miami, D.C., Austin, Charlotte, Atlanta)
$165k + Bonus + Equity. DOE

Market leading Finance Transformation advisory practice in North America seeking data driven consultant to join the Data and Analytics team in Business Transformation 

The Data and Analytics team helps clients define data strategies, build automation processes, and develop visualizations + predictive analytics tools to deliver impactful solutions 

 An effective team member can incorporate a strong Technical Accounting / Assurance background in building client solutions to address client’s business needs using data analytics tools. The team is tool agnostic in building a customized solution for clients and uses various tools such as Python or Alteryx for data business process automation and PowerBI or Tableau for dashboarding. 

Roles and Responsibilities:

Hands-on experience translating data and analytics into actionable insights with ability to create reports and present observations to clients 

Able to design and execute the transformation and analysis of large structured and unstructured / quantitative and qualitative datasets.


Strong problem-solving skills with ability to work independently, owning and driving projects from requirements through execution by implementing various data analytics solutions.
Manager-level candidates will also have project management experience in cross-functional engagements including accounting/finance, FP&A, modeling, and/or tech implementation.

 

Skills 

·  Alteryx

· PowerBI
· Tableau
· Data Architecture
· Data Modeling / Analytics

· Strong Excel skills
· Finance/Accounting background

· Data Science
· Data Visualization
· Solution Architecture
· Workflow Automation
· Programming (e.g., SQL, Java, Python, R)
· RDMS (relational database management systems)
· Exposure to data platforms (e.g., Snowflake, Databricks)
· Data Engineering