Data analyst Jobs

Job Title: Product and Subscription Data Analyst, Scientific American Location: New York or Washington DC (Hybrid Working Model) Reports to: Manager, Data & Insight, Scientific American About Springer Nature Springer Nature is one of the leading publishers of research in the world. Scientific American is published by Springer Nature.

[Applicants: Over 200 applicants | Industry: IT Services and IT Consulting | Type: Part-time | Level: Entry level] Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freela

The role involves working with large-scale streaming data, analytics platforms, CI/CD pipelines, and cloud-native infrastructure. Key Responsibilities Design, develop, and manage real-time streaming applications using Amazon Managed Service for Apache Flink (MSF) Build scalable data pipelines for data analytics and real-time processing Integrate streaming solutions with Amazon MSK (Kafka), Amazon Redshift, and Amazon Aurora Implement and maintain CI/CD pipelines for data and streaming workloads Develop and manage infrastructure using AWS CloudFormation Monitor, optimize, and troubleshoot streaming and analytics systems for performance and reliability Collaborate with cross-functional teams to deliver high-quality, production-ready solutions Use Kiro ID for secure identity and access management across systems Required Skills Strong hands-on experience with Amazon Managed Service for Apache Flink (MSF) Solid data analytics expertise (batch and streaming) Experience with Amazon MSK (Kafka) Proficiency in Amazon Redshift and Amazon Aurora Strong CI/CD implementation experience Hands-on experience with AWS CloudFormation Good to Have Exposure to Machine Learning concepts or ML-driven data pipelines Experience working with large-scale, real-time data systems Preferred Qualifications Strong understanding of cloud-native architectures on AWS Experience with high-throughput, low-latency streaming systems Excellent problem-solving and collaboration skills Show less

We are looking to speak to candidates with deep Power BI development experience, SQL database connection expertise, Power Query knowledge and proficiency in Excel. Power BI Developer Fintech London (Hybrid) Up to £65k (DoE) *Cannot offer Sponsorship* Show less

Yes Licenses and Credentials Experience Data Analysis Experience 0-1 year preferred Knowledge, Skills And Abilities Building proficiency in statistics, data analysis, and data sets. Proficient in time management and project management skills.

The primary role of this individual will be to build, enhance and maintain business intelligence platform to support business intelligence and sophisticated analytics requirements. The results of your work will allow us to streamline our reporting operations and enable the generation of new insights that will allow us to transform our Analytics & Insights efforts to support business strategy, as well as marketing and operations.

The firm has earned numerous workplace accolades, including being named to Fortune's Best Companies to Work For and receiving honors such as Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents. The analyst will join a team of three.

You will be responsible for analysis of game telemetry data and evaluation of product health across AAA game studios. This selected candidate will own processes for central reporting, assigning business logic to large, complex data sets.

The Data Analyst will be responsible for transforming raw data into meaningful insights using SQL and Python, developing dashboards and reports using Power BI and or Tableau, and supporting data-driven decision-making for stakeholders. What We Offer Opportunity to work on impactful, mission-driven initiatives Collaborative and inclusive team environment Exposure to enterprise-scale data analytics and reporting solutions Professional growth and skill development opportunities Mandatory Skills / Experience Minimum of 1 year of functional or data analyst experience Experience collecting, cleaning, manipulating, and analyzing large datasets Strong analytical skills including data cleaning, analysis, and visualization Experience creating and maintaining reports, dashboards, and ad-hoc analyses Proficiency with Microsoft Office Suite, including advanced spreadsheet usage Experience with data visualization and reporting tools such as Power BI and/or Tableau Familiarity with data warehouses, ETL tools, and/or other data storage solutions Understanding of business processes and translating end-user needs into actionable data Ability to conduct business analysis and research to identify key metrics and improvement opportunities Strong problem-solving skills with a logical, structured approach to analysis Excellent verbal and written communication skills, including the ability to present technical concepts to non-technical audiences Demonstrated time management and o...