Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
Data Management • Analytics • Business Intelligence • Advanced Analytics • Data Warehousing
January 7
Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
Data Management • Analytics • Business Intelligence • Advanced Analytics • Data Warehousing
• Support the development and implementation of data governance frameworks, ensuring effective data ownership, quality, and lifecycle management. • Play a pivotal role in laying the groundwork for data analytics capabilities by enabling reliable, consistent, and accessible data across the organization. • Assist in implementing data governance frameworks, including policies, standards, and processes, with a focus on data ownership and stewardship responsibilities. • Support end-to-end data lifecycle management, including data classification, acquisition, storage, transformation, usage, retention, and secure disposal. • Establish and maintain data quality standards, ensuring accurate, consistent, and reliable data as a foundation for future data analytics. • Collaborate with stakeholders to identify requirements for data analytics capabilities and contribute to building a data-driven culture. • Monitor and report on data governance metrics, including data quality scores, compliance rates, and data usage trends. • Identify and mitigate risks related to data governance, ensuring compliance with financial services regulations and industry standards. • Stay updated on industry best practices and evolving regulations, ensuring data governance initiatives remain relevant and effective.
• 2-4 years of experience in data governance, data quality, or data management; financial services experience is a strong plus. • Strong understanding of data ownership, stewardship, and data quality management principles. • Experience with data lifecycle management, including governance over data acquisition, retention, archival, and secure deletion. • Basic knowledge of data analytics tools and techniques, with an ability to contribute to building analytics capabilities. • Excellent analytical and problem-solving skills, with strong attention to detail and accuracy. • Effective communication and collaboration skills, with experience working across business and technical teams. • Bachelor’s degree in information management, Data Science, Business Administration, or a related field.
• Flexible Time Off Policy • Insurance (medical, dental, vision) for employees 100% company paid • short and long-term disability insurance for employees 100% company paid • life insurance and AD&D insurance for employees 100% company paid • employee assistance program • Retirement plans with company match • Training and Certification Reimbursement annually • Performance-based incentive program • Commission incentive program • Profit Sharing Plan • Referral Bonuses
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