Process Analytics Consultant

TESSELY PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A consulting firm in Singapore is seeking a Process Analytics Consultant to enhance operational performance across business domains through data analytics. The ideal candidate will have robust skills in SQL and Python, engage with stakeholders for insights, and contribute to data governance and tool design. Responsibilities include analyzing workflows, supporting research initiatives, and building dashboards to translate data into actionable recommendations. Compensation ranges from SGD 8,000 to 14,000 per month based on experience.

Qualifications

• Demonstrate strong analytical thinking & structured problem-solving.
• Ability to perform process analytics and identify bottlenecks.
• Strong communication across business and tech teams.

Responsibilities

• Analyse workflows to identify inefficiencies.
• Support data extraction and preparation for process analytics.
• Build dashboards for monitoring process performance.
• Communicate progress through documentation and updates.

Skills

Analytical thinking

Process analytics mindset

Stakeholder management

High-quality documentation

Resilience under pressure

SQL proficiency

Python proficiency

Education

Master's or PhD in Computer Science / Data Science / Information Systems

Tools

Tableau

Power BI

Power Apps

Power Automate

React

Job description

We are hiring a Process Analytics Consultant to support initiatives across multiple business domains, helping teams improve operational performance through process analytics, process discovery, and process optimisation.

A core part of this role involves supporting research and applied experimentation—developing, testing, and refining approaches to process discovery and optimisation using data-driven methods. The consultant will work with stakeholders across business and technology teams to structure problem statements, analyse workflow behaviour from data, and produce insights that translate into practical improvements and scalable solutions.

In addition, the consultant may contribute to adjacent delivery workstreams such as data engineering, dashboarding, and UI/UX design to help operationalise insights into usable tools, products, or internal platforms.

This role spans multiple disciplines. Candidates are not expected to be experts in everything. We are looking for individuals with strong capability in one or two areas (e.g., process analytics / process mining, data engineering, research) and working-level proficiency across the rest, with the ability to collaborate and execute in a cross-functional team.

Key Responsibilities 1) Process Analytics & Cross-Domain Insights (Core Focus)

• Analyse workflows across different business domains to identify inefficiencies, delays, bottlenecks, rework loops, and manual pain points
• Support end-to-end process understanding using operational data (e.g., event timestamps, transaction records, system logs)
• Define and track process performance metrics such as cycle time, throughput, SLA adherence, exception rates, and handoff delays
• Translate analytical findings into clear improvement opportunities, prioritised recommendations, and measurable outcomes
• Partner with stakeholders to validate findings, align on process realities, and drive adoption of recommendations

2) Research Support: Process Discovery & Process Optimisation (Major Component)

• Support research initiatives related to process discovery and process optimisation, including structured experimentation and evaluation
• Explore and compare methods for uncovering process flows from data (e.g., event sequences, data relationships, heuristics)
• Assist in prototyping approaches, evaluating output quality, and documenting findings clearly
• Produce research-driven deliverables such as technical notes, experiment results, and implementation recommendations
• Contribute to improving repeatability and scalability of process analytics methods (e.g., reusable frameworks, templates, pipelines)

3) Data Engineering Enablement (Supporting Workstream)

• Support data extraction and preparation needed to enable process analytics and research initiatives
• Assist with data modelling, transformation, quality checks, and data validation to ensure usable analytics outputs
• Help define data requirements and improve access to reliable process-related datasets
• Contribute to building lightweight pipelines or curated datasets that reduce manual effort over time

4) Dashboarding & Insight Delivery (Supporting Workstream)

• Build or support dashboards and analytical views to communicate process performance and operational insights
• Convert process metrics into stakeholder-friendly reporting, monitoring views, and decision-support dashboards
• Partner with stakeholders to iterate on dashboards to ensure usability, clarity, and relevance

5) Data Governance & Business Architecture Support (Supporting Workstream)

• Support data governance initiatives linked to process analytics, including:
• improving data definitions and consistency
• supporting ownership / stewardship clarity
• identifying data quality gaps impacting process insights
• Assist in mapping process-to-system and process-to-data relationships to improve transparency and traceability
• Contribute to business architecture artefacts such as:
• business capability mapping
• workflow documentation and operating model views
• alignment between business processes and enabling applications

6) UI/UX & Tooling Support (Supporting Workstream)

• Contribute to UI/UX design improvements to help operationalise process insights into intuitive tools
• Support the design of user workflows, wireframes, and lightweight prototypes where needed
• Collaborate with engineers / developers / product owners to ensure solutions are usable, adoption-friendly, and scalable

7) Stakeholder Engagement & Delivery Execution

• Work directly with business and technology teams to gather requirements, clarify problems, and structure delivery plans
• Communicate progress through clear documentation, working sessions, and stakeholder updates
• Support delivery across multiple workstreams in a fast-moving innovation environment

Skills Required

A) Core Skills

• Demonstrate strong analytical thinking & structured problem-solving
• Process analytics mindset: ability to reason about bottlenecks, cycle times, handoffs, rework, and exceptions
• Strong stakeholder management & communication across business and technology teams
• High-quality documentation skills (clear findings, assumptions, definitions, recommendations)
• High resilience and execution under pressure: able to operate in ambiguity, handle shifting priorities, and deliver in demanding environments

B) Technical Skills

These are required for the role:

• Strong SQL (data extraction, joins across multiple tables, aggregations, performance-aware querying)
• Strong Python (data wrangling, analysis, prototyping, and building repeatable analytical workflows)
• Comfort working with complex operational datasets (timestamps, events, transaction/activity data)

C) Process Analytics & Research Skills (Strongly Preferred / Core Differentiator)

• Experience in process discovery and/or process optimisation
• Strong research capability: ability to run structured experiments, compare approaches, and document results clearly
• Familiarity with concepts such as:
• event sequences / timestamp-based analysis
• process performance measurement and KPIs
• workflow variability and exception patterns
• process mining / discovery methods (tool-based or custom)

D) Supporting Skills (Preferred / Plus)

Candidates are not expected to be strong in everything below. Strong capability in 1–2 areas + working knowledge in the rest is ideal.

Dashboarding / BI Tools (Plus)

• Exposure to Tableau, Power BI, or similar dashboarding tools
• Ability to convert process metrics into stakeholder-friendly monitoring views and dashboards

Low-Code / Automation Exposure (Plus)

• Exposure to Power Apps / Power Automate (or similar tooling)
• Understanding of basic automation concepts (workflow triggers, exception handling, controls)

UI/UX & Front-End (Great to Have)

• Experience contributing to UI/UX design for internal tools
• React (or equivalent) experience is a strong plus, especially if you can build usable prototypes quickly

E) Data Governance & Business Architecture Knowledge (Preferred)

• Working knowledge of data governance fundamentals:
• metadata / definitions
• ownership & stewardship
• data quality considerations
• Awareness of business architecture concepts:
• business capability mapping
• process-to-system and process-to-data mapping
• operating model documentation

F) Preferred Qualifications

• Master’s or PhD in Computer Science / Data Science / Information Systems / related discipline strongly preferred
• Candidates with academic research experience (publications, thesis, experimentation-heavy projects) will be viewed favourably

Compensation / Rate

• SGD 8,000 – 14,000 per month, depending on experience and skill depth
• Final rate will be calibrated based on strength in process analytics / process discovery research, and hands‑on capability in SQL + Python, or Data Engineering and other above mentioned domain knowledge.