Latest Data Analysis & Reporting Jobs

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expressio

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

Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX). Demonstrated the ability to import, clean, transform, and model data

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis

Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and appl

Utilize power vectors to perform precise power analysis, focusing on optimizations, IR drop, and droop profiling to identify and mitigate high-activity switching regions. Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribut

Certification Support Boost your rsum with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and morewhile building real-world, deployable projects that hiring managers love. Our candidates have landed jobs at top tech firms like Google, Apple, Client, Visa, PayPal, and countless startups a

Applicants for the Head of Data Science and Advanced Analytics position at the company should hold an advanced degree in a quantitative field and have a minimum of 10-15 years' experience in advanced analytics, data science, and AI/ML research and development, preferably in the pharmaceutical or hea

Solid knowledge of data analytics data/system integration data warehousing and data modeling. Participate in multi-system data integration projects develop data processes and maintain the data warehouse. Microsoft Dynamics Power Platform Power Apps Power Automate and Azure network functions.

Position Summary Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failur

The Portfolio Management (PM) Data Analytics team is the analytics engine behind Portfolio Management - owning the tools and reporting infrastructure that Netflix planners and strategists rely on to make decisions at both site and portfolio scale. Strong understanding SQL, Python, and/or R skills fo

As a Partner or Principal at Kearney, you will be a key contributor to the growth and development of our Data and AI business within the Digital and Analytics (D&A) practice. Kearney Digital and Analytics, Data and AI-005WZ. Kearney prides itself on providing a culture where our employees belong and

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

The ideal candidate should have 2-4 years of experience in finance, possess strong analytical capabilities and communication skills, and be proficient in tools like Excel and SQL. This role is critical in delivering data-driven insights to improve business performance, budgeting, and forecasting. Fi