Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation. Our data platform is already built o
Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Partner with IT, Data Engineering, and Infrastructure t
Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. 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
Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products and business. Your work will feed ML models and data products that directly inform pricing strategy,
You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. You’ll own the design and delivery o
We are looking for a competitive and reliable Business Development Manager to help us develop our Business activities. You will be responsible for building a business by identifying and selling services; maintaining client relationships. Contact potential and existing customers on the phone, by emai
We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Perform large-scale data extraction, transformation, and analysis using. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Manage two workstreams - one for our data engineering team and another for our analyst team that manages our data visualizations / dashboards. Ma
This role involves designing and implementing data pipelines for analytics, requiring proficiency in Python and SQL, along with 5+ years of experience. This full-time position fosters collaboration among teams for optimal data solutions. Benefits include a comprehensive package supporting employees'
Analytical Strategy and Executive Reporting: Provide executive-level compliance insight based on data analytics to facilitate compliance discussions at the Board of Directors and Compliance Committee level; Develop metrics to measure progress against compliance program maturity model goals; Collabor
The team's responsibilities include: transforming data into meaningful and actionable information for various customer segments; performing strategic data analysis to support medical management programs, quality and value-based partnerships, and a strategic and predictable corporate provider reimbur
At least 2+ years of experience with Big Data & Analytics solutions Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies. At least 4+ years of working on data management domain wi
The Forecasting & Analytics Intern's primary responsibilities will include: Benchmark various time series forecasting tools (statistical, machine learning, and time series foundation models) on generation and weather data using Python Evaluate the applicability of statistical process control (SPC)