... with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies.- Collaborate with data engineers, data scientists, and other stakeholders to execute the data strategy.- Perform data analysis to understand the relevant data sets.- Design and create Data Models to ...
... automation, ETL, macros)- Data Analytics & Reporting (KPI design, trend analysis, executive reporting)- Root Cause Analysis (RCA) and data issue troubleshooting- Data Quality & Validation frameworks- Exposure to Power Automate, APIs, and workflow automation is a plus- Understanding of healthcare/insurance data is preferred ...
Position Overview :We are seeking an experienced Senior Manager - IT (Analytics & BI) to lead and oversee the end-to-end lifecycle of software application development and Business Intelligence https://jobeax.com/link/VwEt6uQiDPyT8hTD this leadership role, you will be responsible for driving the organization's data strategy, ...
... 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. ...
... 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.- Strong analytical ...
... 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, ...
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 ...
... including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering experience ...