4 of 4 Permanent Data Analysis Jobs in Street

Roles & Responsibilities: Collect, clean, preprocess, and analyze complex data sets from various sources to derive meaningful insights and identify trends. Independently conduct data analysis and modeling to support business initiatives and solve complex problems. Develop and maintain data reports, dashboards, and visualizations to effectively communicate findings … to stakeholders. Collaborate with cross-functional teams to understand their data needs and provide advanced analytical support. Design and implement data quality checks and validation processes to ensure data accuracy and integrity. Utilize statistical techniques and basic algorithms to uncover patterns and make data-driven recommendations. … Perform ad-hoc analysis and develop automated processes and tools to streamline data analysis workflows. Stay updated on industry trends, best practices, and emerging technologies in data analysis and data management. Mentor and provide guidance to junior data analysts, sharing your knowledge and More ❯

Responsibilities: Collect, clean, preprocess, and analyze complex data sets from various sources to derive meaningful insights and identify trends. Independently conduct data analysis and modeling to support business initiatives and solve complex problems. Develop and maintain data reports, dashboards, and visualizations to effectively communicate findings to … stakeholders. Collaborate with cross-functional teams to understand their data needs and provide advanced analytical support. Design and implement data quality checks and validation processes to ensure data accuracy and integrity. Utilize statistical techniques and basic algorithms to uncover patterns and make data-driven recommendations. Perform … ad-hoc analysis and develop automated processes and tools to streamline data analysis workflows. Stay updated on industry trends, best practices, and emerging technologies in data analysis and data management. Mentor and provide guidance to junior data analysts, sharing your knowledge and expertise. More ❯

Responsibilities: Formulate business problems and strategic objectives into data science projects. Utilize company's data to build the appropriate solutions using statistical heuristics and machine learning. Design the best approach to solve business problems by achieving the required accuracy and meeting time constraints. Identify the best evaluation metrics … solution. Support the business by answering complex questions using advanced analytics. Build scalable machine learning pipelines that will be deployed in production. Perform exploratory data analysis to uncover hidden insights. Design and run experiments for hypothesis testing and analyze its results. Qualifications: Bachelor degree in quantitative field. 3+ … Years of experience in similar role. Experience in developing various machine learning and deep learning solutions including time series analysis, classification, regression, clustering, etc Proficiency and demonstrated experience in Python data stack libraries. Proficiency and demonstrated experience in SQL. Excellent written and verbal communication skills. More ❯

Provide regular updates to project stakeholders. Pilot and manage new initiatives aimed at transforming operations and improving service quality. Lead cross-functional projects utilizing data-driven insights. Manage end-to-end project lifecycle, from planning to execution and delivery. What you'll need At least 3 years of relevant … experience. Ability to analyze operational performance, anticipate issues, and support quick resolution. Strong process orientation. A passion for data analysis and quality improvement. Customer-centric mindset. Excellent communication skills, with the ability to facilitate discussions and maintain focus. Exceptional written and verbal communication abilities. Bias for action and More ❯