Business Intelligence Engineer
Bengaluru, India
Applications have closed
Carousell Group
Company Description
About 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, Cho Tot, Laku6, Mudah.my, OneShift, REFASH, Lux-Lexicon and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit here for more information.
We are looking for a central Business Intelligence (BI) Analyst who serves as the primary bridge between our large datasets and the business, instrumenting and facilitating access to high value information to support data-driven decision making. He/she will continuously evolve management reporting, enable a coherent set of metric dashboards and deliver relevant business datasets in an environment of rapid growth and increasing complexity.
This role will report to the Business Intelligence Manager.
Job Description
- Strategise and develop the core BI reporting and analytical environment and give holistic visibility of performance through the provisioning of self-service data marts and reports
Collaborate with BI Engineers on the design, development and maintenance of data models (with focus on OLAP data-marts)
Collaborate with fellow Data Analysts to ensure we are building the right data marts, introduce flexible, smart metric frameworks that help us scale analysis quicker and identify areas of improvement in our BI processes
Maintain an intuitive and lean BI environment by
Consolidate and organise key dashboards in the best 'flow' possible so business users can easily navigate them in a logical manner.
Reviewing, cleaning and removing unused BI assets.
Ensuring data quality through developing gatekeeper, outlier notifications.
Maintain thorough knowledge of existing and emerging datasets and metric definitions, ensuring that they are well documented in a metric library and propagated consistently in our reporting
Consistently socialise and evangelise what's in our BI ecosystem so business users can tap into existing reports
Maintain knowledge on the latest updates of our BI tools so we can leverage new features or capabilities for our BI use cases
Work in a young and dynamic team which has a strong culture of collaboration and flexible WFH culture.
Qualifications
- 3-5 years of experience working in a DE, BI or analytics function
Experience working within a high-growth consumer Internet company with exposure to large amounts of customer data is highly beneficial
Experience in organizing KPIs and dashboards as well as reading metric trends to evaluate business performance
Experience in gathering BI requirements and structuring specifications to produce business-relevant datasets and ensure data quality of the dataset
Passion for democratizing data effectively to the wider organization for self-serve
Keenness to innovate and improve the BI process beyond basic reporting, seeking ways to add value so that the organisation can consume data more effectively
Strong communication skills, able to collaborate effectively with both sides of the business and technical side.
A self-starter mindset who takes Ownership, has a Bias for Action and never-ending obsession to excel in a lean and fast-paced organisation
Technical Skills:
Strong visualisation skills using Looker, Tableau or other relevant visualisation tools.
Good working knowledge on SQL and R/Python to perform data querying, building BI models and conducting data analysis.
Good understanding of ETL/ELT concepts and their relevant use cases
Knowledge of analytical and statistical techniques e.g. time series, regression is a good bonus
Knowledge of the Google Cloud stack is a plus.
Additional Information
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data analysis Data quality ELT ETL Excel GCP Google Cloud KPIs Looker OLAP Privacy Python R SQL Statistics Tableau
Perks/benefits: Career development Flex hours Startup environment
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