Data Governance Analyst

3 weeks ago

Pune, India Concentric AI Full time

Data Governance Analyst Individual Contributor 2+ years experience About Concentric AI: With Concentric AI, organizations can finally address their unmet data security needs by discovering and protecting business-critical content. Concentric AI protects intellectual property, financial data, PII/PCI content, customer data, business confidential content and more, across on-premises and cloud-based data stores, as well as messaging and communication applications. The Concentric AI Data Security Posture Management (DSPM) and data security governance solution uses deep learning to accurately categorize structured and unstructured data, assess risk, and remediate security issues – without relying on upfront rules or complex configuration. Concentric AI is venture-backed by leading Silicon Valley VCs and is headquartered in San Mateo, Calif. For more information, see Our culture: Our core values are Trust, Humility and Learning. These shared values guide our interactions with colleagues, partners and customers. Read more about our tenets The role: You will be joining the Metrics, Insights and Data (MIND) team. The team’s mandate is to drive all data-related efforts at the company – from data collection, curation, enrichment to data analysis, exploration and extraction of insights – to fuel continued innovation in service of our clients. You will: Analyze customer data on the Concentric AI platform to extract relevant insights and identify data risks. Develop, curate and maintain training datasets for AI models Explore, annotate and label large datasets for supervised learning of ML models Work closely with AI and software development teams to drive automation Serve as data subject matter expert and partner with Customer Success to drive adoption of Concentric AI platform You have: Strong experience and expertise with data analytics. Proven ability to extract relevant insights from large volumes of data to solve specific problems. Keen eye for detecting trends, anomalies and patterns in data. Experience developing training datasets, data annotation and labeling for supervised learning of AI/ML models. Experience with spreadsheets and other data analysis tools. Knowledge of Python, scripting, visualization or analytics tools will be a strong plus. Experience with data governance in a large enterprise setting, and data catalog tools such as Collibra a strong plus. Broad knowledge of data security, regulations and standards will be an advantage. Insatiable curiosity and desire to learn, excellent attention to detail and creative problem-solving skills to get things done. Excellent verbal and written communication skills required. Bachelors or masters degree in analytics, business or STEM fields.

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