Factspan Overview:
Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed.With offices in USA, Canada, UK, Europe & India; we use a global delivery model to serviceour customers. Our customers includeindustry leaders from Retail, Media & Entertainment, Hospitality, and Logistic & Supply Chain.
Responsibilities
Analyze and interpret complex data sets to identify patterns and trends.
Perform data wrangling to clean, transform, and enrich data from various sources.
Develop and maintain data quality metrics and reports.
Utilize MS Excel, BigQuery, and other visualization tools (e.g., Tableau, Power BI) to create clear and actionable data visualizations.
Collaborate with cross-functional teams to understand data requirements and provide data-driven insights.
Conduct regular data quality assessments and implement improvements
Create and manage data quality health scores using tools such as Collibra Data Quality.
Document data quality processes and standards.
Troubleshoot data issues and work with IT to resolve them.
Required Qualifications & Experience:
Bachelor’s degree in computer science, Information Systems, Statistics, or a related field.
Proven experience as a Data Quality Analyst or in a similar role.
Strong proficiency in MS Excel, including advanced functions and data analysis tools.
Experience with data visualization tools such as Tableau, Power BI, or similar.
Proficiency in BigQuery and Google Cloud Platform (GCP).
Excellent analytical and problem-solving skills.
Strong attention to detail and accuracy.
Ability to work independently and as part of a team.
Excellent communication and interpersonal skills.
Preferred Qualifications:
Experience in the Retail Industry a plus+
Experience with SQL and database management.
Knowledge of data governance and data quality best practices.
Familiarity with programming languages such as Python or R.
Experience with Collibra Data Quality or similar tools.