Business Data-Analyst

Budget:

$500.00 - $700.00

Delivery:

11 days

Deadline:

February 17, 2024

Start date:

End date:

Tags:

business analysis, Data Engineering, Marketing Analytics


Job Overview:
The Business Data Analyst will be responsible for turning data into information, information into insight, and insight into business decisions. They will conduct full lifecycle analysis, including requirements, activities, and design. The analyst will develop analysis and reporting capabilities and monitor performance and quality control plans to identify improvements.

Key Responsibilities:

Data Collection and Analysis:

Collecting and interpreting data from various sources.
Analyzing results using statistical techniques and providing ongoing reports.
Developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
Business Intelligence:

Identifying, analyzing, and interpreting trends or patterns in complex data sets.
Working alongside teams within the business or the management team to establish business needs.
Reporting and Visualization:

Creating visualizations and reports for requested projects.
Presenting data and insights in a clear and concise manner to stakeholders.
Data Management:

Acquiring data from primary or secondary data sources and maintaining databases/data systems.
Filtering and “cleaning” data, and reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Strategy and Decision Support:

Working with management to prioritize business and information needs.
Locating and defining new process improvement opportunities.
Cross-Functional Collaboration:

Collaborating with various teams (IT, marketing, sales, etc.) to access data and develop consistent and reliable information sources.

Qualifications:

Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
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.

Location:

Pick up location:

Drop off location:

Proposals: 0

Posted in

June 17, 2024