Offer summary

Qualifications:

Proven experience as a Data Analyst or Business Data Analyst., Strong knowledge of data models, database design, and data mining techniques., BS in Mathematics, Economics, Computer Science, Information Management, or Statistics., Proficiency in SQL, Python, R, Excel, and data visualization tools like Tableau and Power BI..

Key responsibilities:

Interpret and analyze data using statistical techniques to provide ongoing reports.

Develop and implement databases and data collection systems to optimize efficiency.

Identify and interpret trends or patterns in complex data sets.

Collaborate with management to prioritize business and information needs.

Job description

Job Description

Full-Time

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports

• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

• Acquire data from primary or secondary data sources and maintain databases/data systems

• Identify, analyze, and interpret trends or patterns in complex data sets

• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

• Work with management to prioritize business and information needs

• Locate and define new process improvement opportunities Requirements And Skills

• Proven working experience as a Data Analyst or Business Data Analyst

• Technical expertise regarding data models, database design development, data mining and segmentation techniques

• Strong knowledge of and experience with reporting packages (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 with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Adept at queries, report writing and presenting findings

• BS in Mathematics, Economics, Computer Science, Information

Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality