Analyst Business & Data Analyst

Job Description

Role & responsibilities In a business landscape quickly becoming governed by big data, great analytics professionals are fulfilling the demand for technical expertise by wearing the hats of both developer and analyst. Having both a conceptual and working understanding of tools and programming languages is important to translate data sources into tangible solutions. Below are some of the top tools for business analytics professionals: SQL SQL is the coding language of databases and one of the most important tools in an analytics professionals toolkit. Professionals write SQL queries to extract and analyze data from the transactions database and develop visualizations to present to stakeholders. Statistical languages The two most common programming languages in analytics are R, for statistical analysis, and Python, for general programming. Knowledge in either of these languages can be beneficial when analyzing big data sets, but is not vital. Statistical software While the ability to program is helpful for a career in analytics, being able to write code isnt necessarily required to work as an analytics professional. Apart from the above languages, statistical software such as SPSS, SAS, Sage, Mathematica, and even Excel can be used when managing and analyzing data. Preferred candidate profile Strong analytical skills Proficiency in financial modeling and data visualization tools Understanding of industry trends and how they affect a company's financial performance Expertise in modeling, scenario analysis, and reporting Perks and benefits Assemble and summarize data to structure sophisticated reports on financial status and risks Develop financial models, conduct benchmarking and process analysis Conduct business studies on past, future and comparative performance and develop forecast models Identify trends, advise company and recommend actions to a senior financial analyst based on sound analysis Track and determine financial status by analyzing actual results in comparison with forecasts Reconcile transactions by comparing and correcting data