Senior Data Scientist

PT Geek Hunter International

Job Location:

Jakarta Selatan - Indonesia

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

About the company

Geekhunter is hiring on behalf of our client a global data and AI consulting firm with a strong presence across Europe Asia and North America. The company specializes in helping organizations transform their business through data-driven strategies advanced analytics and AI solutions.

Job Responsibilities

Data Quality Analysis & Remediation: Collect extract and clean data from various sources to prepare comprehensive datasets for analysis. This includes handling missing data removing inconsistencies and ensuring the data is structured correctly for further analysis.
Analyze data using appropriate statistical techniques and tools to uncover trends patterns and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis.
Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations comparing findings against external or historical data for consistency and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis catching any issues that might have passed initial data processing.
Create clear concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders writing summaries that interpret the numbers and highlight important conclusions.
Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback contribute to discussions on what the data means and help integrate their findings into broader census reports.

Job Requirements

Minimum 5 years of hands-on experience developing and applying data-driven solutions in corporate or consulting environments.
Bachelor’s degree in a quantitative field such as Statistics Data Science Economics Mathematics or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
Strong proficiency in data analysis tools and languages particularly SQL for database querying Excel for data manipulation and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g. pandas R’s tidyverse) is highly valuable.
Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries perform calculations and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
Familiarity with business intelligence and visualization tools especially Power BI to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
Excellent communication skills both written and verbal with the ability to explain data findings in layman’s terms. A collaborative attitude is important as Data Analysts will frequently interact with other teams (IT field operations subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Benefits

Competitive compensation
THR
BPJS Kesehatan
BPJS Ketenagakerjaan
Private Health Insurance

Required Skills:

Data Quality Analysis Data Remediation Data Collection Data Extraction Data Cleaning Data Structuring Statistical Analysis Exploratory Data Analysis Data Validation Data Accuracy Verification Data Reporting Data Visualization Power BI SQL Excel Python R pandas tidyverse Statistical Testing Complex Query Writing Data Manipulation Data Interpretation Attention to Detail Business Intelligence Tableau Data Visualization Best Practices Written Communication Verbal Communication Cross-functional Collaboration

About the companyGeekhunter is hiring on behalf of our client a global data and AI consulting firm with a strong presence across Europe Asia and North America. The company specializes in helping organizations transform their business through data-driven strategies advanced analytics and AI solutions...

About the company

Job Responsibilities

Data Quality Analysis & Remediation: Collect extract and clean data from various sources to prepare comprehensive datasets for analysis. This includes handling missing data removing inconsistencies and ensuring the data is structured correctly for further analysis.
Analyze data using appropriate statistical techniques and tools to uncover trends patterns and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis.
Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations comparing findings against external or historical data for consistency and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis catching any issues that might have passed initial data processing.
Create clear concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders writing summaries that interpret the numbers and highlight important conclusions.
Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback contribute to discussions on what the data means and help integrate their findings into broader census reports.

Job Requirements

Minimum 5 years of hands-on experience developing and applying data-driven solutions in corporate or consulting environments.
Bachelor’s degree in a quantitative field such as Statistics Data Science Economics Mathematics or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
Strong proficiency in data analysis tools and languages particularly SQL for database querying Excel for data manipulation and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g. pandas R’s tidyverse) is highly valuable.
Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries perform calculations and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
Familiarity with business intelligence and visualization tools especially Power BI to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
Excellent communication skills both written and verbal with the ability to explain data findings in layman’s terms. A collaborative attitude is important as Data Analysts will frequently interact with other teams (IT field operations subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Benefits