Business Intelligence Engineer

2 weeks ago


Jakarta, Indonesia Leaf.fm Full time

Important Note: This Opening is exclusive for professionals located in Indonesia.

BI engineer will collaborate very closely with, Analytic Engineer and PM Team Acquire and collect reporting requirement from PM Team and/or clients and breaking it down as data requirement and acquisition strategy with Analytics Engineer Product Develop and deliver reports and dashboard as product solution for PM Team and/or clients

Day to day responsibilities of a BI Engineer will include:
Perform requirement elicitation on presented business questions and requirements. Help business users to to identify data requirements and solution.

Perform exploratory data analysis and data mining of the various data sources (internal or external) to gain insights and discovering data points.

Develop model design from existing data lake and deliver necessary model and exploration that is ready to be presented for end-users.

Maintain and update dashboards as needed, including adding and updating metrics, visualisation improvements, and making changes to the dashboard design.

Collaborate with Product to develop a range of Business Intelligence product portfolio.

Other Requirements

Strong analytical skills in data and process to identify improvements and opportunities. Ability to perform a root-cause analysis and translate structured thinking to processes.

Resourceful in working with knowledge online. Able to do an effective google keyword searches and go in-depth in official documentations.

Able to work in a cross-functional teams in a fast-pace working environment. Set ambitious goals, but be flexible for changes.

Strong project management and organizational skill. Ability to collaborate with cross-functional teams and convey messages for different stakeholders effectively.

Familiarity with UML diagrams. Habit to document and prevents knowledge silo.

Ability to communicate timeline and expectations for different stakeholders. Ability to push back on proposed deadlines and give recommendations on feasible timeline.

Good presentation skill. Ability to create a stunning data visualization and story telling. Break down insights into a set of action item recommendations for the business. ‍

Value expectations

People First

Be mindful of other’s time. have short meetings, clear and concise

Putting yourself in someone else’s shoes, provide easiest explanation based on their POV

Play nice but be genuine, provide safety net for people to speak out their mind

No pointing fingers, do retrospective but no blaming

Always communicate timeline to manage expectations

Tech-centric

Think like software engineers

Learn a lot of tools, benchmark and analyse

Keeping up to date on changes in technology landscape

Avoid premature optimisation

Heroic

Challenge people when they proposed ideas that might bring more bads than goods

Say what you need to say even if it’s hard thing to say

Be mindful of when someone might need your help, offer your expertise

Be accountable and consistent with the expectations you have set the first time

Ivent. Simplify. Be Curious

Most technological problem is over-engineered. Get out of biases and focus on the problem statement

Don’t reinvent the wheel, use the wheel whenever possible

Minimum Qualifications: Skill expectations

Technical Requirements

Ability to use use scripting language to perform ranges of data processing such as analysis, cleansing, reshaping, and exploratory.

Advance proficiency in using SQL for query and data manipulation.

Understanding in using basic git flow and branching strategy.

Experience in dashboard development and data modelling in various BI Tools.

Experience in Looker and LookML is a plus.

Experience in development and data modeling using dbt is a plus.

Leaf is a tech company that provides end-to-end performance marketing services for ambitious eCommerce businesses. Unlike traditional marketing agencies, Leaf is an eCommerce performance marketing specialist that combines years of data-driven marketing expertise with proprietary marketing technology. This enables us to make smarter decisions in order to deliver profitable sales growth for our clients.



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