Senior Data Analyst (BI & Research)

Love Bonito

Bangalore, IN / Karnataka, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/10/2021
  • Website: lovebonito.com
  • Company Address: 21 Tai Seng Drive Suite 03-00, Singapore, 535223

About Love Bonito

Love, Bonito is a leading online female fast-fashion brand in Southeast Asia.

Job Description

We pride ourselves as the best and largest vertically integrated, omni-channel women's fashion brand in the region. Founded in 2010, we have grown to 250 people strong, proudly headquartered in Singapore with country offices in Indonesia and Malaysia and an omni-channel presence across these 3 markets. In addition to our retail franchise in Cambodia, we ship internationally to 15 markets (Hong Kong, China, Philippines and Australia, New Zealand, US, Canada, Macau, Japan, Korea, Vietnam, Thailand, Myanmar, Cambodia & Brunei).

We are taking our definition of new female retail global, with our sights set on becoming the most thoughtful brand for the everyday woman.

The Team

The Love, Bonito team is a passionate, dynamic, innovative and fun-loving family. From fashion-lovers, savvy marketers to tech whizzes, we have a diverse team of talented individuals with one unified focus - our customer, the Love, Bonito woman. She is at the heart of everything we do and we pride ourselves in always taking an innovative, data-centric yet considerate approach in creating the right experiences, products and content for her. With big dreams and a grand mission, we’re looking for great like-minded people to join us - people who are as passionate, fearless and entrepreneurial.

If you’re looking for a dynamic, no corporate-BS environment to learn, grow, and really make an impact, we could be the perfect fit for you!

The Role

This role will be a remote role - you can work from anywhere in the world, from the comforts of your home!

You’ll have a front seat experience in impacting women across the globe through fashion and data.

You will play a pivotal role in championing a data-driven approach in our decision-making. From data analytics solutions, insight generation to data governance, you prioritize and influence data adoption across the company. You’re responsible for continuously raising the standards of our overall analytics capabilities and reporting portfolio. In addition, you implement best-practices and standardisation of our analytics workflow and act as a mentor for our data analysts.

Main Responsibilities:

OKRs & actionable insights

  • Define performance metrics, targets and ensure alignment across the company
  • Design, build and maintain user-friendly dashboards for tracking OKRs
  • Coordinate on-going performance reviews (e.g. weekly and quarterly) within the analytics team to evaluate business health, identify areas for deep-dive and ensure aligned and effective sharing of on-going business recommendations from the data team to management and business stakeholders
  • Collaborate closely with teams (e.g. Finance) for performance updates (monthly, quarterly)
  • Deep-dive to analyze large data sets (structured and unstructured), interpret patterns, highlight business opportunities areas of weaknesses
  • Share actionable insights on an on-going basis. Plan and coordinate new projects for pilots
  • Design and execute analytics solutions. Translate vaguely defined business problems to clearly defined technical requirements. Design and execute efficient logical solutions (ranging from reporting, diagnostic analytics to prescriptive analytics)
  • Collaborate with functional teams to prioritize and solve business problems e.g. define problem, data collection requirements, transformation and execution of final solution, and present insights effectively through data storytelling to inspire action
  • Manage analytics projects from ideation to delivery involving multiple stakeholders

Research & Market intelligence

  • Research and evaluate industry trends and competitors to identify opportunities for Love, Bonito
  • Prepare and organize periodic (e.g. quarterly) sharing sessions and material on industry trends and provide management with actionable recommendations
  • Maintain and refine our market prioritization framework from both a quantitative and qualitative perspective and evaluate expansion opportunities & risks
  • Stay in tune with regional and global consumer trends, evaluate its relevance to Love, Bonito and help us “stays ahead of the curve”
  • Translate industry insights into the Love, Bonito context and work alongside fellow data team members and business stakeholders to evaluate new strategic opportunities and initiate POCs

Data culture

  • Create, maintain and improve our overall analytics portfolio. Establishing robust structure, governance and alignment across data usage and reporting to ensure effective usage
  • Develop, maintain and track usage of our analytics solutions and reporting portfolio to ensure dashboard reports are effectively leveraged for the purpose it’s developed
  • Drive overall company trust, understanding and usage of data by organizing learning sessions
  • Work closely with different business stakeholders including our regional teams to leverage HQ data best practices
  • You’re a key contributor to the development of our data infrastructure and collaborate closely with our data engineers on a day to day basis. Examples of this include:
    • Prioritize new data source integration and ensure final implementation meets business and analytics requirements
    • Create impeccable and user-friendly documentation for data sources across the company
    • Validate data tables in data warehouse, refine logic and data transformation, and build aggregation tables to provide seamless reporting and data access across the business

Requirements

You should have / be

  • A Love, Bonito Culture Fit
    • Good grasp of the Love, Bonito brand and unique proposition
    • A genuine curiosity to know how things work and how to make them better
    • An entrepreneurial, self starter, get-your-hands dirty attitude
    • Enjoy learning new things and pick them up quickly
  • A demonstrated past and present result-driven data obsession
    • Problem solver: You identify, scope and solve loosely defined problems; you design and execute logical action-plans so that challenges can be solved systematically
    • Analytical and data-driven: You love working with numbers and extracting knowledge from data. You’re extremely objective, thorough and diligent. You can also efficiently and independently query, manipulate, explore data using tools such as SQL & Python
    • Business-driven: You always understand the business context first before diving deep into the data. You develop solutions and insights with business goals in mind.
    • Creativity & communication: Ability to think ‘out of the box’ and translating data into simple human language and compelling visualizations (data storytelling), to empower the broader organization to understand and leverage data
    • Relationship management: Good relationship management and ability to work with other functional teams

Qualifications & Experience

Technical competence and experience to perform advanced analytics independently, efficiently and mentoring junior members of the team.

  • Highly proficient in SQL and familiar with Python for analytics and machine learning contexts
  • Knowledge in statistical methods to solve business problems
  • Ability to collect, clean, transform and analyse large amounts of data efficiently (structured and unstructured) with attention to detail and accuracy
  • Knowledge and experience with data visualization tools, preferably Tableau and Metabase
  • Experience in data warehouse development, especially AWS Redshift, will be advantageous.
  • Experience with website tracking, especially GTM and Google Analytics would be advantageous
  • Strong interest and preferably direct experience with e-commerce and retail
  • 3+ years of relevant experience, BA/BS or Master's degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Data Science, Mathematics, Computer Science, Engineering)
  • You enjoy working with data and all its faults, benefits and opportunities

Benefits

  • A dynamic, no corporate-BS environment to learn, grow, and really make an impact

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.