Job Summary
As a Data Analyst, the candidate will play a crucial role in advancing 360factors’ data analytics capabilities and contributing to upcoming artificial intelligence (AI) projects. The candidate will be responsible for data analysis, quality assurance in ETL/EDW processes, and actively participating in the cleaning and formatting of data before identifying trends that can help business leaders make strategic decisions.
Key Responsibilities
Enterprise Data Warehouse (EDW)
Data Analysis
- Conduct in-depth data analysis in ETL/EDW processes to ensure data accuracy and integrity.
- Identify and assist ETL/DWH teams to develop and implement logical checks to validate and enhance data quality.
Quality Assurance
- Collaborate with cross-functional teams to evaluate and validate data within our software applications.
- Identify and implement measures to enhance data accuracy and reliability.
Data Visualization
Problem Definition
- Conduct data analysis using a variety of tools, skills, and computing languages to perform statistical analysis and answer questions to solve organizational challenges and figure out the missing data.
- Collaborate with stakeholders to understand business problems. Explain findings, their reasoning and research to them to justify the conclusion.
- Create Dashboards, and reports on their findings using BI reporting tools and communicate the next steps to stakeholders.
Data Mining, Cleaning and Munging
- Mine and clean data from multiple sources employing best industry practices, analyze and interpret results using statistical tools and techniques.
- Work with data scientists to determine company goals. Figure out trends, correlations and patterns in datasets and identify new opportunities for process improvements.
- Data analysts should have a good handle on Excel and understand advanced modelling and analytics techniques.
Documentation & Collaboration
- Create documentation for models, algorithms, and workflows to facilitate knowledge sharing and future development.
- Communicate findings and insights to non-technical stakeholders.
Education, Experience & Skillset:
- Bachelor’s in Data Science, Computer Science, Statistics, or a related field.
- 4+ years’ experience of spearheading successful Data Analysis and AI projects.
- Proven experience in data analysis, quality assurance, and data modelling.
- Strong programming skills in languages such as Python or R.
- Strong understanding Database, SQL etc.
- Familiarity with ETL processes and data warehousing.
- Experience with machine learning frameworks and libraries.
Required Behavioral Traits:
- Excellent problem-solving and analytical and creative skills.
- Strong collaboration and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Send us your resume at [email protected] mentioning the position in subject line.