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Senior Data Analyst |

hace 3 meses


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Your mission as a Senior Data Analyst of Engineering is to provide insight and analysis into the performance of our delivery procedures and teams. You will combine your domain knowledge and experience of quantitative and statistical methods to ensure that our overall strategies are data-driven. You will present and guide Sr. Managers & Directors to consume the reports and insights needed to align to key performance indicators.You will be part of a team responsible for driving insight into the effectiveness, quality, and efforts distribution of software engineering projects, generating the insight to drive decision-making and informing development strategies.What you'll do:Take primary responsibility for the end-to-end delivery of all Engineering Analytics.Provide your own critique on engineering performance and operational procedures, and provide thoughtful recommendations on options to improve their KPIs.Work with Engineering leadership to define and measure a range of KPIs within digital products, identify key data points and how they relate to broader engineering strategy.Develop and maintain dashboards and reports to track effort metrics and progress.Perform hands-on analysis in support of business requests, including development of conclusions and recommendations.Carry out analysis of the existing data sources and business processes to determine the construction and testing time of a product to be deployed.Structure, analyze and report on performance from data extraction (SQL), to integration of new data sources and statistical analysis (Python) to visualization (Tableau or other visualization tool).As part of the Business Intelligence team, develop and implement best practice methodologies for the quantitative analysis & visualization of data.Lead meetings with users and technical architects to gather requirements and provide actionable insights.Design conceptual data model in order to depict new solutions along with logical data model.Ensure data quality and accuracy by performing regular data validation and cleansing.Assist in enforcement of project deadlines and schedules.Foster a data-driven culture by promoting the use of analytics in decision-making processes.#J-18808-Ljbffr