ADP
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
##LI-DNI
Qualifications
Graduation/post-graduation.
- 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
Apply now
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