OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.
Business Intelligence • Amazon Web Services (AWS) • Tableau • Azure • Power BI
5 days ago
OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.
Business Intelligence • Amazon Web Services (AWS) • Tableau • Azure • Power BI
• Lead Engineer, Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions. • Lead project teams, shape project scopes, and refine BI strategies. • Architect scalable data solutions and optimize analytics workflows. • Oversee ETL pipelines, manage cloud-based data platforms, and develop enterprise-level BI tools. • Integrate advanced analytics and ensure compliance with data privacy regulations. • Act as a key advisor on data-driven initiatives at the leadership level.
• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field. • 6+ years of experience in business intelligence, data engineering, or a similar role. • Expert-level proficiency in SQL, data modeling, and ETL development. • Extensive experience with BI tools such as Power BI, Tableau, or Looker. • Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions. • Strong programming skills in Python, R, or other scripting languages for data automation. • Proven ability to lead teams and manage large-scale BI initiatives. • Excellent problem-solving, strategic thinking, and stakeholder communication skills. • Experience with machine learning, AI-driven analytics, or predictive modeling. • Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar). • Knowledge of version control (Git) and CI/CD for data workflows. • Background in Agile methodologies and project management.
• Competitive compensation • Company-provided home office equipment • Flexible vacation and sick days • Team-oriented and supportive working environment
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