Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing
Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem
As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry tre
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements in. Tiger Analytics provides equal employment opportunities to applicants a
This role will be responsible for orchestrating cross-functional projects that transform raw data into actionable, high-quality datasets while establishing the infrastructure and processes needed to deliver data efficiently across the organization for AI and analytics use cases. Deep understanding o
The Principal PM, Data Intelligence & AI Governance owns the strategic direction and implementation for the cross-cutting concerns that make this stack trustworthy and agent-ready: metadata strategy, governance frameworks, data lineage, and the readiness of enterprise data assets for AI consumption.
Responsibilities As a member of our dynamic team, you will have the unique and rewarding opportunity to influence the direction of upcoming products and features that will delight millions of Apple customers around the world every single day! Some of the work you will do includes: Synthesize quant
Acting as an autonomous technical owner, you will design and scale critical capabilities such as secure onboarding workflows, knowledge graphs, and agentic endpoints while working across engineering and product boundaries to ensure these components reliably power autonomous AI reasoning and cross-do
The ideal candidate should have practical experience with distributed systems, Hadoop stack, and a solid understanding of REST services. Samsung is looking for a skilled Developer to join their data analytics team in San Jose, California. The position offers an exciting opportunity to work with emer
A technology services company is seeking a Data Analytics Engineer to develop and maintain data pipelines and visualizations to drive organizational insights. This position promotes data-driven decision-making and offers flexible work schedules and comprehensive employee benefits. The role requires
Data Analytics Quantitatively analyze ambiguous problems using large datasets (prescription, medical claims, longitudinal patient data). Deep understanding of analytical tools and dashboarding technologies, data warehousing, software, and applications (SQL, Tableau, AWS, Python, Machine Learning).
What you’ll be doing:*** Advising the HR and Recruiting teams on privacy requirements applicable to the collection, use, and retention of employee and candidate personal data, including background check data, assessment results, and hiring records. Supporting employee-facing privacy notices, data
You will manage financial marketing data in BigQuery, collaborate with external stakeholders, and ensure compliance and data governance while delivering actionable analytics and guidance. You will build scalable data pipelines, integrate GA4 and GTM, and deliver insights via Looker Studio dashboards