Senior Consultant

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Job Description

Role Brief:  We are seeking a seasoned leader to head the APAC, delivering end-to-end Analytics Consulting across performance analytics, target forecasting, dashboard development, campaign management, and drivers analysis. You will collaborate closely with Product Managers and cross-functional stakeholders to translate business requirements into solution wireframes, execute projects, surface actionable insights, and drive measurable impact. You will lead, mentor, and grow a high-performing team, while serving as the primary point of contact for senior client stakeholders.

About Fractal:

Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Fractal has more than 1,200 employees spread across 14 global locations including the United States, UK and India. 

Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2017 by Forrester Research, a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Key competencies:

• Problem solving skills – Strong problem-solving skills to translate business requirements of clients into analytics problem and design analytics solutions with measurable and actionable outcomes

• Technical and domain expertise- Expertise in SQL, SQL & Advanced Analytics / Statistical Techniques, Campaign Management

• Execution excellence - Ensure regular client touchpoints, work along-side multiple business stakeholders, end-to-end project execution, maintain proper documentation, ensure risk mitigation, ability to understand multiple and large data sources and ensure tracking of execution & success metrics is done effectively & efficiently
• Client management – Serve as the primary point of contact for client stakeholders; translate business goals into analytics roadmaps; define governance cadence (weekly/quarterly reviews), SLAs, and KPIs; present insights and recommendations to client audiences; drive solution adoption and change management; proactively surface risks and manage escalations
• Team management – Lead and develop a high-performing cross-functional analytics team; handle capacity planning, sprint/backlog prioritization, and resource allocation; ensure execution standards; mentor and upskill team members through 1:1s and growth plans;

Job Responsibilities:

• Analytics consulting and delivery
  • Translate business goals into analytics roadmaps; design solution wireframes and execution plans
  • Build and maintain dashboards, models, and measurement frameworks for performance, forecasting, and attribution
  • Conduct drivers analysis and experimentation (A/B tests) to identify levers of growth and efficiency
  • Ensure rigorous documentation, QA, and risk mitigation; track success metrics and business outcomes
• Client management
  • Serve as the primary point of contact for senior client stakeholders; define governance cadence (weekly/quarterly reviews), SLAs, and KPIs
  • Align on scope/SOW, manage expectations, and proactively surface risks and escalations
  • Present insights and recommendations to executive audiences; drive solution adoption and change management
  • Ensure compliance with data privacy and platform policies; track CSAT/NPS and business impact
  • Identify expansion opportunities and support renewals/upsell in partnership with business teams
• Team management
  • Lead and develop a cross-functional analytics team; own capacity planning, sprint/backlog prioritization, and resource allocation
  • Establish strong execution standards, documentation practices, QA/review processes, and analytics best practices
  • Mentor through regular 1:1s, feedback, and growth plans; foster psychological safety and collaborative problem-solving
  • Drive on-time, on-budget delivery; run retrospectives to continuously improve velocity and quality
  • Coordinate effectively with teams across APAC
• Technical and data governance
  • Be hands-on when needed with SQL and statistical techniques; oversee model quality and dashboard reliability
  • Partner on data architecture, data pipelines, and measurement strategy; ensure data integrity across large, complex sources
  • Promote standardized taxonomies, tracking plans, and experimentation protocols

Experience: 
Must Have:

• Experience of managing clients and team and independently developing end-to-end analytics solutions
• Proficiency in SQL, Campaign management, Dashboarding, Customer segmentation & Advanced Analytics / Statistical Techniques such as Decision Trees, Forecasting etc.
• At least 8+ years of relevant experience in the field of Analytics
• Experience of leading teams and developing growth roadmaps
• Excellent written and verbal communication
• Strong problem-solving skills
• Attention to detail and ability to deliver accurate client outputs

Education: 
Graduate in Computer Science, Mathematics, Information Science, Engineering, Statistics

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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