Data Analyst

Description:This organization is a compilation of months of work to define how the functional team and business will work, what roles each team will play and how to engage both organizations in support of the Chief Data Officer (CDO) positioned in the business. This position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization.The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights using Power BI that enables better decision-making and operational effectiveness of business units. Data scientists possess a combination of analytical skills, technical expertise, and business acumen in addition to intellectual curiosity that drives their passion to transform raw intelligence into actionable insights that produce desired business outcomes. Going beyond established analytical thinking and problem-solving, the data scientist will apply creativity to unconventional concepts and out-of-the-box solutions.More specifically, this role is advanced in the use of Power BI, performs data management and data analysis to track, monitor, and optimize the performance of decision-making and support of marketing initiatives.Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of SAS, Python, or R. Others desired to be cognizant of are Spark, T-SQL, and PL-SQL.Analysis, design, development, testing, troubleshooting, and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection, and model fit.Knowledge of data migration and integration across datasets and technology platforms.Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions.Effective communication (verbal/written) and leadership skills to foster enterprise influence on data-driven business decision-making.Ability to transform technical jargon into meaningful business insight at varying levels of the organization.Comprehensive consulting skills with proven ability to work with and influence others.Excellent customer service skills and focus on delivery with a positive attitude.Self-starter with the ability to work independently with minimal guidance.Continuous self-learner with perspective on industry trends in the data space.Ability to handle multiple assignments and conflicting priorities.Ability to build productive relationships with a focus on cooperation and teamwork.Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools.Experience working with large enterprise databases with demonstrated ability to independently query and prepare data for analysis.Familiarity with Machine Learning, Artificial Intelligence, and/or production-level model deployment.Basic HTML knowledge.Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.Advanced level of proficiency with Power BI, Microsoft Excel, Access, Word, and PowerPoint.Ability to locate and summarize data characteristics.Skills:SQL, Data, Data analysis, ERPs, Power BI, Reporting, SQL queriesTop Skills Details:SQL, Data, Data analysis, ERPs, Power BI, Reporting, SQL queriesAdditional Skills & Qualifications:noneExperience Level:Intermediate LevelAbout TEKsystems:We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe, and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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