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(Senior) Data Analyst at Findicia

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in quantitative discipline, 2-4 years of experience in a quantitative role, High proficiency in Python, SQL, visualization tools like Tableau, Working knowledge of Generative AI and LLM models, Self-driven with team collaboration skills.

Key responsabilities:

  • Collaborate with Operations, Product, and Data Engineering teams
  • Develop core datasets and automate solutions
  • Analyse large datasets and construct dynamic dashboards
  • Deploy data projects across functions and stakeholders
  • Enhance customer performance using extensive data volumes
Findicia logo
Findicia Startup https://www.careers-page.com/
11 - 50 Employees
See more Findicia offers

Job description

Overview

Our Client is a rapidly growing company with its headquarters in Singapore and the United States. As part of our company's growth strategy, we are actively expanding our operations in the APAC region. Our main mission is to help our brands create happier customers at every location with AI.

Our Client is the Customer Experience Management Platform for multi-location brands. We work with groups such as Shake Shack and Baskin Robbins to power the entire lifecycle and automate everything with AI. Today, we are proud to be trusted by over 5,000 businesses globally. If you love to hustle and want to work for a mission-driven company, we would be thrilled to have you join our team.

The Role:

Our Client is seeking a highly motivated individual to join our Data Analytics team, playing a pivotal role in empowering our customers to optimize operations through insightful data-driven recommendations. Utilizing Artificial Intelligence (AI), you will be responsible for designing and implementing predictive data products, specifically focusing on social media, digital marketing, and market research. Working closely with the Data Head and cross-functional teams, you will contribute to building the next-generation data platform for our fast-paced, early-stage startup.

Primary Roles & Responsibilities:

  • Collaborate with Operations, Product, and Data Engineering teams to design and implement scalable analytics and reporting solutions.
  • Partner with Data Engineering to develop core datasets for operational and exploratory analysis.
  • Query, transform, and analyse large datasets.
  • Construct rich and dynamic dashboards using in-house tools and third-party solutions like Tableau.
  • Train and leverage Generative AI models to develop data products for internal and external use cases.
  • Automate solutions where appropriate.

Additional Responsibilities:

  • Leverage extensive volumes of structured and unstructured data to enhance customer business performance.
  • Manage end-to-end deployment of data projects across various functions and stakeholders.
  • Develop a profound understanding of data models, business domains, and support data quality for allocated areas of ownership.
  • Build dynamic dashboards using in-house and third-party tools, aligning with business requirements.

Requirements

Ideal Background:

  • Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or other data science disciplines).
  • 2-4 years of experience in a highly quantitative role.
  • Self-driven team player with the ability to quickly learn and apply new tools and techniques.
  • High proficiency in Python, SQL, and data visualization tools such as Tableau.
  • Excellent communication skills in both technical and non-scientific language for effective collaboration with business stakeholders.
  • Working knowledge of Generative AI and have used / deployed LLM models in production.

Nice to Haves:

  • Experience in developing internal or external data products.
  • Alignment with executive-level stakeholders.
  • Working experience in public cloud infrastructure & tools such as AWS (e.g. S3, Lambda, and EC2) and/or GCP (e.g. BigQuery, Compute Engine)
  • Domain expertise in the Adtech industry.
  • Domain expertise in F&B technology.

Benefits

  • Comprehensive social insurance coverage in accordance with Vietnamese labor regulations, encompassing full salary benefits.
  • Private Health Insurance
  • 15 days Paid Time Off annually

Cultural Values

  • Mission-driven and fast-paced, entrepreneurial environment.
  • A collaborative and flat company culture.
  • Comprehensive private health insurance.
  • Discretionary trips to our offices across the globe, with global travel medical insurance (when its safe to travel!).
  • Cross-cultural team bonding/networking.
  • Love Food? Join our Team!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Verbal Communication Skills

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