ADP Canada Reporting Analytics

The Data Analyst who can work closely with SME s, operations and management on analytics.

The candidate would be a business aware self-starter responsible for enabling data driven decisions by setting up a reporting framework for daily/weekly metrics, helping with ad-hoc analysis and any fundamental research exercise.

This job is well-suited to people who have problem-solving skills, work well as part of a team, and can manage their time effectively to meet deadlines and keep to projected schedules.

Primary Responsibilities

• Have passion for sourcing, manipulating and visualizing data
• Apply direction and confidence to design qualitative and quantitative analysis
• Partner with key members from technical and non-technical teams to build and enable high quality decisions
• Prioritize and manage multiple priorities simultaneously

Other Skills Required

Critical thinking

Ability to work independently and as part of a team

Excellent written and verbal communication skills. Ability to communicate complex analysis in a clear, precise, and actionable manner.

Ability to handle several deadlines

Ability to partake in technical discussions

Proactive

Research-oriented

Capacity to work with minimal supervision

Capacity to prioritize tasks

Excellent time management skills

Meticulous

Excellent problem-solving skills

Ability to research and troubleshoot technical problems Ability to challenge status-quo through identification of key business requirements and addressing through innovative data-visualization solutions

Ability to effectively interact with, present information to, and respond to questions from all levels of the organization and partners

Essential Qualifications and Experience:

• Overall 3-6 years of professional experience
• Minimum of 3 years of total working experience as a Data Analyst is required
• Very Strong in Python - mandate
• Minimum of 2 years Statistical programming experience
• Databricks Hands On
• SQL Knowledge and Hands-on experience is a mandate
• Proficiency in using numpy, pandas, Sklearn and other analytical packages
• Good understanding on Statistics, mathematics and with a Critical thinking mindset
• Ability to utilize visualization the analytics and data using Tableau
• Excellent business communication/(verbal and written) and interpersonal skills
• Desire to learn and adapt to new technologies