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Sr. BI Analyst

Numerator

Singapore

On-site

SGD 60,000 - 80,000

Full time

Yesterday
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Job summary

A data analytics company in Singapore is looking for a Business Intelligence Analyst to enhance its analytics platform. The role involves data analysis, developing methodologies, and collaborating with teams to drive business decisions. Successful candidates will have a strong background in SQL, Python, and data visualization tools like Tableau and Power BI. Join a diverse and innovative team that values individuality and supports personal growth.

Benefits

Development opportunities
Employee well-being resources

Qualifications

  • At least 4 years of experience in analyzing granular data.
  • Proficiency in SQL and scripting languages such as Python.
  • Ability to communicate complex data insights effectively.

Responsibilities

  • Conduct in-depth analysis to identify data-related issues.
  • Propose actionable solutions and assess business impact.
  • Collaborate with Product, Data, and Engineering teams.
  • Lead analytic initiatives and define KPIs.

Skills

SQL
Python
Data Visualization
Analytical skills
Data management
Collaboration

Education

BS or MS in Analytics, Mathematics, Statistics, Computer Science, Economics, or related field

Tools

Tableau
Power BI
Azure
SQL
Spark
Data Warehousing

Job description

    As a Business Intelligence Analyst at Numerator, you will have the opportunity to work with our established and rapidly evolving platform that handles millions of requests and massive amounts of data. Your role will involve automating, enhancing, maintaining, and scaling services in a rapidly-scaling environment. You will dive deep into complex data sets, identify root causes of data issues, and influence strategic business decisions through compelling analysis and insights.Your responsibilities will include conducting in-depth analysis to identify data-related issues, proposing actionable solutions, and assessing their business impact. You will collaborate closely with Product, Data, and Engineering teams to troubleshoot and resolve challenges. Additionally, you will lead analytic initiatives, develop methodologies for data projection and balancing, and define KPIs to ensure high-quality data delivery in a fast-paced environment.As a part of the Numerati team, you will be joining a diverse and innovative group of individuals. Numerator values the unique perspectives and experiences of each team member. You can expect support, development opportunities, and a culture that celebrates individuality. With Numerator's commitment to employee well-being, you will have access to resources for personal and professional growth.To be successful in this role, you should have a BS or MS in Analytics, Mathematics, Statistics, Computer Science, Economics, Physics, or a related field. You should also have at least 4 years of experience in analyzing granular data and proficiency in SQL and scripting languages such as Python. Additionally, strong collaboration skills, analytical mindset, and the ability to communicate complex data insights effectively are essential for this position.Numerator is dedicated to creating a dynamic and inclusive work environment where employees can thrive. If you are passionate about data analysis and driving business growth through insights, we invite you to join our team and make a meaningful impact.,

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Applied Mathematics, Business Analytics, Computer Science, Information Systems, Life Sciences, Pharma, Healthcare, Machine Learning, Segmentation, Predictive modeling, Hypothesis testing, Optimization, Python, SQL, Spark, RAVE, Azure, Power BI, Qlikview, Spotfire, Analytical skills, Excel, MS Word, PowerPoint, Communication skills, Interpersonal skills, Presentation skills,Quantitative field, Pharma data sets, Real World Evidence, Electronic medical records, Statistical Models, Multivariate statistical analysis, Time series techniques, Programming languages R, Handling Datasets Komodo, IQVIA, Truven, Optum, Data management using SQL, Cloud platforms AWS, Google Cloud, Data Visualization tools Tableau, Problemsolving skills, Datadriven mindset

database management, etl, python, sql, data integrity, data visualization,problemsolving

Tableau, Power BI, SQL, Python, Data Warehousing, Analytics, APIs,Data Modelling, ETLELT Pipelines, Cloud Data Platforms

Applied Mathematics, Business Analytics, Computer Science, Information Systems, Life Sciences, Pharma, Healthcare, Machine Learning, Segmentation, Predictive modeling, Hypothesis testing, Optimization, Python, SQL, Spark, RAVE, Azure, Power BI, Qlikview, Spotfire, Analytical skills, Excel, MS Word, PowerPoint, Communication skills, Interpersonal skills, Presentation skills,Quantitative field, Pharma data sets, Real World Evidence, Electronic medical records, Statistical Models, Multivariate statistical analysis, Time series techniques, Programming languages R, Handling Datasets Komodo, IQVIA, Truven, Optum, Data management using SQL, Cloud platforms AWS, Google Cloud, Data Visualization tools Tableau, Problemsolving skills, Datadriven mindset

database management, etl, python, sql, data integrity, data visualization,problemsolving

Tableau, Power BI, SQL, Python, Data Warehousing, Analytics, APIs,Data Modelling, ETLELT Pipelines, Cloud Data Platforms

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