... Event-Driven Analytics: Design, develop, and maintain interactive Power BI dashboards focused on large-scale event analytics and operator activity tracking.- AI-Driven Data Analysis & Insights: Leverage AI tools and modern AI-assisted features (e.g., Copilot for Power BI, generative AI for data analysis) to accelerate insight generation, ...
Sales Operations & Business Analytics Specialist Job Type: Full-time Location: Remote — United States Openings: 1 Compensation: $100,000–$140,000/year About the Opportunity We are seeking a Sales Operations & Business Analytics Specialist to strengthen the systems, data, and insights supporting a growing revenue organization. ...
... protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our ...
... https://jobeax.com/link/89FZsz5hbfdNxv7l Proficiency In :- Power BI Desktop and Power BI Service- DAX (Data Analysis Expressions)- Power Query (M Language)- SQL and database concepts- Data modeling and ETL processes- Experience with data warehouses and large datasets.- Experience of Row-Level Security (RLS) and data governance.- ...
... criteria. Partner with technical software engineers (ABAP, SAP Fiori, GCP/PCF) to translate business logic into scalable technical designs.4. Cross-Platform & Cloud Data Integrations :- Analyze interface requirements and coordinate integration between SAP S/4HANA, legacy non-SAP enterprise systems, BigQuery, and SAP Analytics ...
... advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible ...
... advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible ...
- # Summary Responsible for designing and implementing enterprise observability dashboards and analytics solutions using Grafana, with deep expertise in OpenTelemetry Protocol (OTLP) formatted metrics, traces, and logs. This role focuses on transforming telemetry data into actionable insights through advanced visualization ...
... product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds - Defining streaming event data feeds required for real-time analytics and reporting - Leveling ...
... solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...