Data Consultant

• Provide consultative guidance for data management and governance within the company as well as for clients
• Maintain a detailed understanding of 6sense product architecture, technical components and application functionalities
• Understand clients’ data design and architecture and to implement integration strategies with the clients
• Performing analysis to assess the quality and meaning of data
• Use of SQL queries for the purpose of analyzing, extracting and transforming of data
• Preparing reports for the client and internal team stating trends, patterns, and predictions using relevant data
• Collaborate with stakeholders across departments to address gaps and pain points in a data journey
• Forge strong relationships with client leadership, analysts, and other stakeholders to grasp their data-related requirements
• Conduct in-depth analysis of the current trends and products within the data visualization and B.I tool
• Designing and maintaining data systems and databases
• this includes fixing coding errors and other data-related problems
• Consolidate analyses and create reports that make business impacts

• A professional who holds a Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, Engineering or related fields, along with approximately 1-2 years’ experience as an analyst or data engineer
• 2+ years in data management, data analytics, or related roles
• Should have working experience in one of RDBMS data stores like Oracle, MySQL or Redshift
• Preferable working Knowledge in Python or Shell script
• Experience in working with Presto and the Hadoop ecosystem including Hive
• Strong data mining knowledge of analyzing big data, finding patterns/trends and provide insights to customer
• Experience in B2B related CRM and Marketing applications like SFDC, Microsoft Dynamics, Eloqua, Marketo
• Experience in Data visualization tools like Tableau or Power BI
• Excellent communication skills
• Proven ability to develop clear and concise written technical and non-technical documentation
• Strong verbal presentation skills
• Good to have knowledge in ML, Analytical/Predictive models etc.

Knowledge in ML, Analytical/Predictive models

• Health coverage
• paid parental leave
• generous paid time-off and holidays
• quarterly self-care days off
• stock options
• equipment and support to work and connect with teams
• growth mindset culture
• access to LinkedIn Learning platform
• quarterly wellness education sessions
• wellness days
• ERG-hosted events