Data Analyst II

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

You will:

Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product platform and business decisions.
Communicate data-driven insights and recommendations to key partners; go beyond observations to useful insights to form impactful product roadmap.
Guide product managers on proper design & measurement of experiments for 2-sided marketplaces that drive iterative improvement on metrics.
Promote statistical thinking and rigor in how we create metrics and analyses that inform our day-to-day and strategic decisions.
Work closely with cross-functional teams of engineers user researchers product managers product designers and business decision-makers in launching impactful features in multiple domains.
Utilize a strong business acumen: deep knowledge of how to design KPIs diagnostic metrics and benchmarks including how to set effective targets to drive optimal outcomes.
Develop and articulate data stories and show them to your stakeholders.
Mentor and coach other data analysts.
Drive data self-service capabilities in the Product Team through training documentation and more.
Leverage generative AI and analytics-oriented AI tools (e.g. ChatGPT Gemini internal AI agents) to accelerate data exploration automate routine analysis and improve insight generation.
Apply AI-assisted techniques such as semantic search LLM-powered summarisation anomaly detection or clustering to uncover deeper insights in marketplace data.

Contribute to Carousells company-wide AI transformation by embedding AI-driven workflows into analytics processes (documentation QA experiment monitoring reporting and investigations).

Qualifications :

You have:

Has 4 years of relevant applied experience with a degree or higher in economics psychology computer science statistics or mathematics or another quantitative field.
Is an entrepreneurial problem solver & critical thinker able to work autonomously & proactively capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
Is a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Has deep expertise and working knowledge of statistics required for designing and evaluating statistical experiments
Is data-driven and passionate about solving problems through data & enable others using data in decision making
Is detail oriented and be able to work efficiently in a fast-paced team environment
Experience using generative AI tools to speed up analytical workflows (e.g. SQL generation data summarisation insight extraction documentation).
Ability to evaluate when and how AI should be used responsibly ensuring data quality correctness and compliance.

Additional Information :

Preferred Skills:

Solid experience in designing implementing evaluating statistical experiments (working knowledge of quasi-experiments is a plus) to help guide product owners in evaluating the success of their products
Solid experience with common analytics and visualisation tool (Looker Tableau SQL Python and R) for ad hoc analysis to extract insights
Possess deep subject matter expertise in at least one key area e.g. Causal Inference Design of Experiments Econometrics
Expertise using Big Data ecosystem tools e.g. BigQuery Hadoop Pyspark Sqoop or MLlib
Comfortable with distilling complicated analyses into an accessible format for non-technical audiences (e.g. white papers presentations documents)
Strong communication skills (fluent spoken English visual presentation skills effective written communication skills)
Excellent interpersonal skills ability to work in team and communicate with business people and other analysts
Significant demonstrated track record in analytics with thorough examples of experience
Commercial acumen to understand and define the business significance of various parcels of data and analysis
Must have demonstrated team working capability
Experience building small-scale AI-enabled analytics tools automation scripts or prototypes that improve productivity.

By proceeding with your application you are adhering to our PDPA case you are interested to know more read about our Candidates Personal Data Privacy Statement.

Remote Work :

Yes

Employment Type :

Full-time

You will:Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product platform and business decisions.Communicate data-driven insights and recommendations to key partners; go beyond observations to useful insights to form impactful product roadma...

You will:

Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product platform and business decisions.
Communicate data-driven insights and recommendations to key partners; go beyond observations to useful insights to form impactful product roadmap.
Guide product managers on proper design & measurement of experiments for 2-sided marketplaces that drive iterative improvement on metrics.
Promote statistical thinking and rigor in how we create metrics and analyses that inform our day-to-day and strategic decisions.
Work closely with cross-functional teams of engineers user researchers product managers product designers and business decision-makers in launching impactful features in multiple domains.
Utilize a strong business acumen: deep knowledge of how to design KPIs diagnostic metrics and benchmarks including how to set effective targets to drive optimal outcomes.
Develop and articulate data stories and show them to your stakeholders.
Mentor and coach other data analysts.
Drive data self-service capabilities in the Product Team through training documentation and more.
Leverage generative AI and analytics-oriented AI tools (e.g. ChatGPT Gemini internal AI agents) to accelerate data exploration automate routine analysis and improve insight generation.
Apply AI-assisted techniques such as semantic search LLM-powered summarisation anomaly detection or clustering to uncover deeper insights in marketplace data.

Contribute to Carousells company-wide AI transformation by embedding AI-driven workflows into analytics processes (documentation QA experiment monitoring reporting and investigations).

Qualifications :

You have:

Has 4 years of relevant applied experience with a degree or higher in economics psychology computer science statistics or mathematics or another quantitative field.
Is an entrepreneurial problem solver & critical thinker able to work autonomously & proactively capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
Is a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Has deep expertise and working knowledge of statistics required for designing and evaluating statistical experiments
Is data-driven and passionate about solving problems through data & enable others using data in decision making
Is detail oriented and be able to work efficiently in a fast-paced team environment
Experience using generative AI tools to speed up analytical workflows (e.g. SQL generation data summarisation insight extraction documentation).
Ability to evaluate when and how AI should be used responsibly ensuring data quality correctness and compliance.

Additional Information :

Preferred Skills:

Solid experience in designing implementing evaluating statistical experiments (working knowledge of quasi-experiments is a plus) to help guide product owners in evaluating the success of their products
Solid experience with common analytics and visualisation tool (Looker Tableau SQL Python and R) for ad hoc analysis to extract insights
Possess deep subject matter expertise in at least one key area e.g. Causal Inference Design of Experiments Econometrics
Expertise using Big Data ecosystem tools e.g. BigQuery Hadoop Pyspark Sqoop or MLlib
Comfortable with distilling complicated analyses into an accessible format for non-technical audiences (e.g. white papers presentations documents)
Strong communication skills (fluent spoken English visual presentation skills effective written communication skills)
Excellent interpersonal skills ability to work in team and communicate with business people and other analysts
Significant demonstrated track record in analytics with thorough examples of experience
Commercial acumen to understand and define the business significance of various parcels of data and analysis
Must have demonstrated team working capability
Experience building small-scale AI-enabled analytics tools automation scripts or prototypes that improve productivity.

By proceeding with your application you are adhering to our PDPA case you are interested to know more read about our Candidates Personal Data Privacy Statement.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Data Analytics
Microsoft Access
SQL
Power BI
R
Data Visualization
Tableau
Data Management
Data Mining
SAS
Data Analysis Skills
Analytics

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About Company

Carousell Group

Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, C ... View more

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