Data Analyst / Data Scientist

Product Dynamix; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A strategic product management consultancy in Singapore seeks a Product Analytics expert with 5+ years of experience. The role involves defining KPIs, creating dashboards, and conducting thorough analyses to guide product decisions. Ideal candidates will possess a Master's degree in Business Analytics or a related field, along with strong analytical skills and experience in e-commerce. This position is exclusively for Singapore citizens and PR holders.

Qualifications

• 5+ years of experience with at least 1 year in Product Analytics, preferably in e-commerce.
• Strong analytical skills with attention to detail and accuracy.
• Experience with reporting packages and databases.

Responsibilities

• Define product and business KPIs and metrics.
• Build customized dashboards and reports for stakeholders.
• Conduct deep-dive analysis to optimize product features.

Skills

Product Analytics

Data Visualization

Statistical Analysis

Machine Learning

Google Analytics

SQL

Python

ETL Frameworks

Education

Master's degree in Business Analytics, Statistics, Mathematics, Economics, or Computer Science

Job description

Product Dynamix is a strategic product management consultancy providing a holistic approach across the product management lifecycle with a focus on start-ups and growth-stage companies. We act as a catalyst to place the Product strategy mindset at the heart of the customer’s digital business. We offer in-house delivery, consultancy and training for the startup ecosystem and corporations. Our team creates digital companies, products and features to meet business ambitions.

This position is for one of our customer based in Singapore

Job Description

Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems.

Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our products.

Work as a key member of the product team to solve problems and identify trends and opportunities.

Inform, influence, support and execute our product decisions and product launches.

Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics.

Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviours, and long-term trends Identifying levers to help move key metrics.

Responsibilities

Product Strategy: Evaluate and define product and business KPIs and metrics along with Product Managers and Product Designers.

Data Visualization: Democratize data by building customized dashboards & reports for relevant stakeholders.

Analysis: Offer deep-dive analysis to key stakeholders across all teams and products, to determine product features and UX optimization strategies.

Respond to data and product-related inquiries in real-time to support business and technical teams.

Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers.

Responsible for developing and executing tools to monitor and report on data quality.

Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions. Build Machine Learning models to predict the behaviour of users

Required Qualifications

Overall, 5 years of experience with at least 1 year of experience specifically in Product Analytics, preferably in e-commerce

You’ve master’s degree in Business Analytics, statistics, mathematics, economics, computer science or equivalent education or possess relevant practical experience

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (Python,R & ETL frameworks)

A/B Testing: Experience designing experiments and analyzing results with a solid background in statistics

Tracking Technologies: Google Analytics (Preferably IQ certified) or similar alternatives e.g. Adobe Analytics, Mixpanel, Amplitude

Should understand Machine Learning Algorithms

Excellent attention to detail can-do attitude with a relentless focus to get things done. Data needs to be precise. Conclusions drawn from data analysis will drive critical client decisions.

Demonstrated analytical skills. Ability to work with large amounts of data: facts, figures, and number crunching. Ability to see through the data and analyze it to find conclusions.

Note : ONLY for CITIZENS and PR