Data Analyst

Remote - US Resident Only

We are looking for a thorough analytical Data Analyst to compliment our present personnel. Your task is to identify trends, patterns, and useful insights in vast volumes of data so the business may make better decisions. Your abilities in data processing, statistical analysis, and visualization will be very important in turning unprocessed data into useful business intelligence supporting important strategic objectives.



Main Assignments:



Organize information from many internal and outside sources, process it, and assess it.



Create, edit, and automatically generate reports and dashboards to monitor important performance indicators and corporate performance.



Exensive data analysis helps one to identify trends, linkages, and strategies for process expansion or improvement.



Working across functional domains, find business needs and then translate those needs into particular data requirements.



Clean, validate, and transform the raw data so it is ready for study.



Apply statistical techniques in data analysis and forecasting; provide ideas influencing business strategy.



Even for stakeholders without technical knowledge, clearly convey results in an aesthetically pleasing, succinct, and intelligible manner to help complex data make sense.



Create models able to predict the future by using historical data.



Make sure all data is correctly recorded and kept for future use and simple access.



Regularly identify fresh approaches to improve infrastructure, methods of data analysis, and procedures.



The necessary skills are:



Candidates must have a bachelor's degree in computer science, statistics, math, or a closely allied field.



Relevant job experience examining quantitative data in a business analysis, data analysis, or allied profession.



Data analysis skills with R, Python, SQL, or Excel.



adept in creating user-friendly dashboards and reports from data visualization tools; Tableau and Power BI are two examples.



Mastery in statistical methods, data modeling, and prediction instruments.



Excellent analytical and problem-solving skills; skilled at turning data results into doable recommendations.



able of precisely handling complex data sets and paying great attention to detail.



Strong written and spoken communication skills will help you to present complicated data findings to different groups.



One advantage is knowing about data warehousing and cloud-based data systems (like AWS or Google Cloud).



Capacity to operate in a team and on your own.



Positive aspects:



competitive set of perks and compensation.



Possibility to progress professionally.



a workplace supporting innovative ideas and teamwork.



Flexible working choices (when relevant).