Business Intelligence Analyst at Cermati.com
Special capital Region of Jakarta, Java, Indonesia -
Full Time


Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, SQL, Python, R, Data Visualization, Statistical Techniques, Business Process Improvement, Communication Skills, Analytical Tools, Big Query, Excel, Data Transformation, Dashboard Creation, Trend Analysis, Data Mining, Complex Data Sets

Industry

Financial Services

Description
Job Description Interpreting data, analyzing results using query, data statistical techniques. Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools. Develop analytical reports and represent large, complex sets of data through visual representation. Present information in a way that drives fact based decision making. Propose and define new business process improvement opportunities based on the data to drive business impact. Work with management to prioritize business and information needs. Qualifications Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field. Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable). Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these. Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment. Excellent written and verbal communication skills. Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus Ability to work well and deliver under pressure
Responsibilities
The Business Intelligence Analyst will interpret data and analyze results using various statistical techniques. They will create robust data querying and visualization processes to support fact-based decision making.
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