Data Analytics Senior Manager

Job description

Deputy Head of Global Talent Acquisition & HR in India at Pluang | Fintech | One App for all Investments
As a Data Analytics Senior Manager, you will play a pivotal role within our data team, collaborating closely with business and engineering teams.

Your primary goal will be to drive AI initiatives in data and derive actionable insights from extensive datasets, influencing strategic decisions, improving user experience, and driving product revenue growth.

You will lead key projects, guide junior data scientists, and ensure data-driven approaches are integrated into business processes.


What you will be doing:
Drive AI adoption for analytics and process improvements to improve efficiency
Lead the building of data infrastructure required to enable rapid adoption of AI in the company
Manage stakeholders to drive large‐scale, complex data analysis projects from conception to execution, ensuring alignment with business objectives
Understand how our investment products work and present business‐related analysis to senior management to improve adoption, volume, and revenue of our products
Initiate analytical projects with actionable insights and align / follow up with business leaders to ensure that key actions and interventions are carried out to drive business value
Work with business stakeholders like product managers and our revenue team to identify the key metrics that should be tracked, and build AI‐friendly data pipelines, analysis frameworks and dashboards to track and improve these metrics by consulting our engineering teams
Build well‐thought‐through analysis frameworks that our business teams can follow easily to get insights on decision‐making
Monitor data processes to ensure that teams can rely on quality, timely and reliable data to make decisions
Assist our business teams to plan out, build and evaluate A/B testing experiments
Model and analyse impacts of business decisions on P&L
Actively analyse our revenue and cost items to find initiatives to improve margins and highlight root causes when margins decline
Effectively communicate your work with team leads and cross‐functional stakeholders on a regular basis
Lead junior data scientists in solving our business problems and provide both technical and career developmental guidance
Get your hands dirty and do what is necessary to solve business problems and create value for the company
Manage the data work streams under one or more umbrellas (e.g. product analytics, AI, marketing, finance etc)
What you need to be successful for this role:
BS in a Computer Science, Math, Statistics, Economics, Engineering, Physics or a related field with 7+ years of experience.


Strong SQL skills.

You will need to write custom queries to pull data to support your assumptions and hypotheses.


Experience with data visualization tools (Preference for Tableau).


Experience with scripting and data analysis using Python.


Familiarity with BigQuery and GCP would be an advantage.


Experience working with product analytics tools like Amplitude, Mixpanel or Clevertap is greatly appreciated.


Prior experience working with clickstream data, especially Firebase / Google analytics data would be preferred.


Solid understanding of statistical analysis.


Strong sense of ownership and accountability, with good attention to detail.


Good interpersonal skills and ability to work well in an international team environment.


Ability to be agile and flexible in adapting in a dynamic environment.


Interest in the investment, financial sector or web3/cryptocurrency is a plus.


Please note that visa sponsorship is not available for this role.

Therefore, we are only able to consider candidates who are legally authorized to work in Singapore.


Strong problem‐solving skills with an emphasis on product effectiveness
Attractive compensation package - competitive salary, flexible bonus scheme.


We are always looking for ways to promote and inspire innovation.

So, come build your dream with us.


Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi‐national IT professionals.


Healthy work environment - company‐sponsored medical program, food, and beverage program, open communication.


Friendly policies to support Work‐life balance, team building, and celebrations.


We are an equal‐opportunity employer and value diversity at our company.

We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Seniority level
Mid‐Senior level
Employment type
Full‐time
Job function
Project Management
Industries
Technology, Information and Media
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