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Form of workJob Description
Title: Business - Data Analyst
Location: Hybrid Need Locals in Chicago, IL.
Duration: 6 Month
Objectives of this role
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
Identify opportunities for growth through analysis of complex datasets
Evaluate organizational methods, provide source-to-target mappings and information-model specification documents for datasets
Create best-practice reports based on data mining, analysis, and visualization
Evaluate systems for efficiency, problems, and inaccuracies, and maintain protocols for handling, processing, and cleaning data
Responsibilities:
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyze data to answer questions, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
Experience with data visualizations - experience distilling complex data into actionable data insights using various data visualization techniques.
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary/secondary sources, build scripts that will make the data evaluation process more flexible or scalable across datasets
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics strategies that optimize statistical efficiency and quality
Identify, analyze, and interpret trends or patterns in complex data sets Required skills and qualifications
Experience with data visualizations - distilling complex data into actionable data insights using various data visualization techniques.
Technical writing experience in relevant areas, including queries, reports, and presentations
Strong SQL or Excel skills, with aptitude for learning other analytics tools, such as using KQL in Azure Log Analytics workbooks.
Comfortable working with log data and familiar with basic network terminology.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (SAP-Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information- attention to detail and accuracy
Adept at queries, report writing and presenting findings
BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Thanks
Sai Revanth
Email - revanth.patnala@cerebra-consulting.com
Phone| 8784256221
