Candidate will lead a small to medium team that will execute strategies to maximize the value of data and identify opportunities to leverage data and analytics for new insights and find solutions to business questions. In this role, you will provideleadershipto gain an understanding of the business, take part in the ongoing data analytics activities, collect and prepare data, apply data analysis techniques, develop reporting solutions, present findings and recommendations, outline the value and achieve successful business outcomes and data consumption maturity.Key Account abilitiesLead the execution of the analytics and reporting team.Strong hands on in SQL, writing complex analytical queriesProvideleadershipand direct the execution of information reporting and analytics strategies, policies and plans.Leverage data and analytics techniques to identify and analyze business needs, identify requirements and define the scope and objectives to enable value opportunities.Execute strategies that leverage data and analytics techniques to recommend solutions or improvements to business processes.Provideleadershipfor the team and help to remove barriers and execute strategies that drive successful outcomes.Identify, analyze, and interpret trends or patterns in complex data setsWork with management and project stakeholders to prioritize business and information needsLocate and define newprocess improvementopportunitiesUnderstanding architectural design and data platform delivery in technologies that include, but are not limited to cloud, ETL, data streaming, data storage, data modelling, APIs/microservices, automation, continuous integration/continuous deployment;Showcasing data engineering knowledge around complex efforts within established Software Development Life cycles and methodologies including agile, scrum, iterative and waterfallShowcasing technical knowledge that spans multiple platforms and portfolio of applications with demonstrated knowledge of the business strategic priorities in order to resolve complex problems;Utilizing IT processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Reporting, Mobility, Master Data Management, and Search;Understanding of database structure principles;Proven track recordand experience in technologies such as: SQL, Snowflake, AWS, Python.DesiredQualifications:Proven working experience as a data analystTechnical expertise in data models, database design development, data mining, and segmentation techniquesStronganalytical skillsand experience using statistical packages:With their level of experience, the candidate is expected to possess stronganalytical skillsand have significant experience using statistical packages like Tableau, PowerBI, or similar tools.Competencies:• Perform all work and activities with honesty and integrity.• Effectively communicate (and listen) clearly, professionally, politely and persuasively in all situations; respond well and in a reasonable, timely manner.• Challenge conventional practices and use creativity and information to lead, innovate, problem solve, and implement ideas to contribute to the growth of the organization.• Support and meet company/department goals and core values.• Collaborate with co-workers to achieve common goals.• Take personal responsibility for productivity, quality and timeliness of work.• Excellent communications skills•Problem Solving/Analysis
