The Data Technician role will be responsible for assembling data from multiple sources, conducting analyses, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences.
Additional Requirements Knowledge of SharePoint & Outlook Understanding of Agile/Waterfall process Excellent written and verbal communication Strong analytical skills to solve complex business requirements Detail oriented, organized, careful and takes mistakes seriously Self-motivated and self-driven, with demonstrated ability to learn new concepts quickly and independently
Daily/Weekly tasks Receives questions from internal customers, understands the questions, and determines the data needed to answer them Assembles data from multiple sources, conducts analyses, performs research, designs, documents and implements analytical solutions Presents analysis conclusions to the team in a clear, understandable, and valuable way Takes responsibility and ownership for their active projects, always looking for new problems to solve and new concepts to implement Communicates clearly (and as often as needed) with team members and business stakeholders Builds strong relationships across the data analyst community, to share knowledge and learn from others Presents high quality reports and findings in Power BI, or as PowerPoint presentations Builds metrics reporting systems and tracks process improvements across the team Pulling data and entering data into the various tools/portals, formatting, sanity checking, etc. Design, evaluate and monitor key metrics, understanding root causes of changes in metrics Build and share live dashboards and reports complete with user documentation Perform quality assurance on generated results to ensure accuracy and consistency
Additional Benefits Education or the equivalent of experience in statistics and/or data analysis. Quality Assurance & Gaming knowledge (or able to learn it at a fast pace) Experience with systems integration (data import/export, data cleansing/QA) Understanding of correlation, regression, classification, and other statistical methods used to look at the data from different angles for use in prescriptive and predictive models Experience in working with large operational data sets, involving categorical data for solving classification problems, is a strong plus. Experience with QA tools such as DevTrack, DevTest, Hansoft, Pond, Jira, and other data resources