who combines advanced data-science implementation skills with a strong grasp of business operations and strategy. You will turn complex, multi-source data into actionable insights that improve revenue, cost efficiency, and customer experience across the organisation. Ideal candidates pair hands-on proficiency in
Python/R/SQL
modelling with dashboarding expertise in
Tableau, Power BI, and SAP Analytics
--and can deploy their work through
Flask, HTML, or UiPath?automated workflows
when needed.
Key Responsibilities
Quantitative Analysis & Modelling
- Build predictive and descriptive models (forecasting, segmentation, optimisation)
Data Visualisation & Storytelling
- Create interactive dashboards and executive visual briefs
Process Mapping & Automation
- Document and re-engineer processes; deploy bots or micro-apps for repetitive tasks
Business Strategy Support
- Translate analytics into go-to-market, pricing, or operational recommendations
Data Governance & Collaboration
- Maintain data accuracy; partner with IT, Finance, Operations
Minimum Qualifications
Education
Required:Bachelor's in Mathematics, Statistics, Computer Science, Engineering, or Physical Sciences
Technical Skills
Advanced:
Python, R, SQL
, Tableau or Power BI, Microsoft Excel (Power Query, Power Pivot)
Intermediate:
KNIME
, SAP analytics modules,
UiPath
, Mixpanel, LaTeX for technical documentation
Basic web/app deployment:
Flask, HTML/CSS/JS
Process design: Visio and/or Blueworks Live
Experience
2-4 years in an analytics, consulting, or strategy role where you directly influenced business outcomes
Demonstrated ability to own end-to-end analytics projects--from scoping through data wrangling, modelling, visualisation, to presenting C-level recommendations
Familiarity with KPI design in sales, operations, supply-chain, or customer-experience domains
Preferred Attributes
Strategic mindset; able to connect model outputs to commercial levers
Clear communicator--can explain technical insights to non-technical audiences
Proactive problem-solver comfortable with ambiguous, fast-changing business questions
Experience working in cross-functional Agile squads
What We Offer
Competitive salary + performance bonus + variable components
Hybrid work-model and flexible hours
Annual training budget for certifications (e.g., Tableau, UiPath, SAP)
Clear advancement path toward Manager, Business Analyst
Job Types: Full-time, Permanent
Benefits:
Flexible schedule
Professional development
Work from home
Schedule:
Monday to Friday
Supplemental Pay:
Performance bonus
Experience:
Senior Business Analyst: 1 year (Required)
Python/R/SQL: 1 year (Required)
Tableau: 1 year (Required)
Power BI: 1 year (Required)
SAP Analytics: 1 year (Required)
Flask: 1 year (Required)
HTML/CSS/JS: 1 year (Required)
cross-functional Agile squads: 1 year (Required)
Work Location: In person
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