Lowongan Kerja : Senior Manager | Data Science & Analytics (Remote)

Perusahaan : Love, Bonito

Deskripsi Pekerjaan : Senior Data Science & Analytics Manager

(Leading our supply-side analytics pillar)

Singapore | Remote

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

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 and empowering our organization to act smarter, faster and more efficiently. You’ll be responsible for designing and implementing a variety of data-enabled solutions, generating actionable insights and launching direct decision output models to improve our business. In addition, you’ll play an important role in setting up best practices for our analytics workflow and act as a leader and mentor for our team.

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 translate 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.

Main responsibilities

As a Senior Data Science & Analytics Manager, you will lead a team of 3-5 analysts and data scientists to drive growth and efficiency across our business with a focus on our design process, inventory management and supply chain optimization.

Build a high performing analytics team

  • Hiring and managing a team of data analysts/scientists to deliver data products and insights with high quality and on schedule
  • Provide team with the framework, tools, learning and motivation to deliver business impact
  • Responsible for team’s strategy and roadmap – defining success metrics in close collaboration with business and functional stakeholders
  • Share and demonstrate the team’s work and impact on the broader organization
  • Own the stakeholder engagement and collaboration framework
  • Work alongside data engineering and business intelligence to support our data infrastructure development to support both business analytics requirements and data product pipelines

Your team will be responsible:

Decision modeling and automation

  • Identify and scope new analytics opportunities with high ROI
  • Guide team to help stakeholders (with focus on supply-side teams) refine problem statements and translate those into analytics projects that can be clearly defined and strategically solved
  • Scop, plan and deliver analytics projects with clear milestones, objectives, KPIs and deliverables
  • Develop predictive models using a variety of statistical methods and machine learning techniques
  • Automate and optimize decision making with techniques from operations research (such as linear programming and dynamic optimization)
  • Work closely with technical and business teams to iterate solutions, A/B test and gather actionable feedback to continuously raise the standards of our analytics capabilities
  • Coordinate sessions to review model performance, brainstorm and prioritize new opportunities
  • Proactively leverage resources from the open-source community and research from academia to improve the standards of our models and analytics capabilities

Analytics frameworks and insights

  • Design, develop and drive effective usage of analytical frameworks that unlocks business value
  • Define performance metrics, targets and ensure alignment across the company
  • Design, build and maintain user-friendly dashboards for tracking business health as well as the performance of launched models and specific initiatives
  • Present, prepare and coordinate ongoing performance reviews (e.g. weekly and quarterly)

New data integration and data infrastructure

  • Ensure high data quality, reliability, and visibility of our analytics stack and workflow
  • You’re a key contributor to the development of our analytics capabilities and collaborate closely with our data engineers to drive meaningful improvements that raise the quality and expand the scope of insights that it enables
  • Assist in the evaluation of new initiatives and make key contributions to the formation of our longer-term data strategy

Important elements / ability to

  • Communicate clearly and effectively in person, in writing, and in presentations
  • Ability to adjust presentation style based on different audiences
  • Guide team to identify, scope, propose and solve analytics opportunities & challenges
  • Scope business problems and design solutions. You break down goals into clear actionable tasks involving multiple contributors with timelines and drive the team to achieve the final goal.
  • Ability to see the bigger picture and foresee blockers ahead of time; thus can often prepare in advance and address concerns upfront to remove blockers
  • Develop user-friendly, robust and accurate data solutions independently and efficiently
  • Must be a fast learner and able to learn independently and mentor others
  • Investigate anomalies and proactively solve problems
  • Introduce best practices for the team and ensure robust documentation and alignment
  • Ability to handle multiple (and quickly changing) priorities and solve ambiguous problems in a fast-paced environment
  • Good communication and organization skills – a track record of meeting deadlines and OKRs
  • Open to receiving and sharing constructive feedback
  • Strategic mindset coupled with excellent organizational skills and a business mindset

Qualifications & Technical skills

  • Highly proficient in SQL and Python for analytics and machine learning contexts
  • Knowledge in statistical methods and experience in applying that to solve business problems
  • Working knowledge of predictive modeling and machine learning from prototyping to production
  • Experience with data visualization tools, preferably Tableau and Metabase
  • Knowledge of experimental design (A/B testing)
  • Experience working with cloud infrastructure such as AWS will be advantageous
  • Experience in database and big data tools (especially AWS Redshift, Spark, Hadoop, Databricks platform will be advantageous)
  • 5+ years of relevant experience
  • 2+ years experience in building data science and/or analytics teams (hiring, managing)
  • Experience communicating results to leadership teams to drive the strategy
  • Experience developing team & analytics roadmap
  • Track-record of forming strong partnerships with cross-functional teams
  • M.S. or Bachelors degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Data Science, Mathematics, Computer Science, Engineering)

Benefits

  • You’ll have a front seat experience in impacting women across the globe through fashion and data
  • A dynamic, no corporate-BS environment to learn, grow, and really make an impact
  • Remote Work Stipend
  • Laptop Stipend
  • Forward-thinking tech stack
  • Supportive and awesome international teammates

Perkiraan Gaji :

Lokasi : Jakarta

Tanggal : Mon, 24 Jan 2022 23:50:04 GMT

Kirim Lamaran!