Looker Analytics Engineer

Experience
: years

Salary
: Confidential (based on experience)

Expected Notice Period
: 7 Days

Shift
: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type
: Remote

Placement Type
: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

**(*Note: This is a requirement for one of Uplers' client - LL)

**What do you need for this opportunity?

Must have skills required:
ELT tooling, Gcp bigquery, python for data ops, B2B Experience, Look ML, Looker, SaaS, embedded analytics, Advanced SQL

LL is Looking for:*
*Role: Looker Analytics Engineer (GCP)
Overview
Client is supporting a global leader in human performance and healthcare analytics.

This role is a unique opportunity to be the primary Looker specialist on a greenfield analytics project that will directly power embedded product features used by hundreds of organisations and thousands of healthcare and performance specialists globally. The engineer will stand up the Looker semantic layer, deliver demo-ready dashboards for sales, and embed governed self-service analytics into the product experience.

Engagement Details

• Start Date: Immediate
• Initial Term: 12 months with the possibility of extension
• Location: Fully remote
• Working Hours: 8h/day, availability required during UK business hours

About The Project
The project, Looker Cutover, is a greenfield migration of the client's presentation/analytics layer onto Looker, replacing legacy in-house reporting.

Early success = delivering high-quality demo dashboards to support sales. Longer-term = delivering a complex embedded Looker feature and establishing scalable governance, templates, and enablement for non-experts. Candidate will be the sole Looker authority within a cross-functional team of ~12, supported by Google GCP experts and the client data engineering team.

Must-Have Experience & Skills
Technical

• 4+ years Looker/LookML (modelling, Explores, PDTs, RLS/permissioning, Git workflows)
• 5+ years advanced SQL on columnar warehouses
• 4+ years dimensional data modelling (star/snowflake, SCDs, grains/joins)
• 2+ years embedded analytics (governance, row-level security, self-service enablement)

Nice to have:
GCP BigQuery (tables, partitioning, clustering, IAM, performance tuning), ELT tooling (dbt or similar), Python for data ops

Business & Delivery:

• 4+ years working with Product & Engineering to deliver analytics as a product feature
• 3+ years cross-functional stakeholder management
• 1+ year supporting sales enablement with demo dashboards
• Experience in B2B SaaS and embedded analytics contexts

Soft Skills

• Excellent communicator, able to bridge product needs and semantic models
• Collaborative enabler/mentor—comfortable coaching peers and non-experts
• Delivery-focused, pragmatic, and comfortable with ambiguity
• High ownership mindset, strong documentation discipline

Responsibilities

• Own Looker development end-to-end (LookML, Explores, dashboards, testing, deployment)
• Translate product and user needs into governed, scalable semantic models
• Implement embedded analytics patterns (SSO embed, RLS, caching, PDTs)
• Establish templates, governance guardrails, and performance baselines
• Mentor engineers/analysts to reduce reliance on a single specialist (Optional/Nice to have) Partner with Data Engineering to inform upstream models; contribute to data ops improvements where relevant

Success Criteria:

• 4–6 weeks: deliver production-ready LookML models & demo dashboards By end of Q1 2026: lead delivery of complex embedded analytics feature with governed self-service templates
• Establish repeatable best practices, CI/testing for Looker changes, and clear documentation
• Upskill broader team in Looker usage and governance

Working Practices

• Methodology: SCRUM
• Team Size: ~12 cross-functional members (Engineering, Product, Quality, Architecture)
• Tooling: Looker, BigQuery, Git/GitHub, Jira, Slack, Google Workspace
• Ceremonies: Daily stand-ups; weekly planning/backlog grooming; ad-hoc working sessions

Assessment Process

• CV Review – Check for experience on paper
• Launch Lab technical screening (30 mins)
• Launch Lab collaborative assessment (1 hr)
• Final interview (culture fit + technical interview incl. system design, product interaction, 2-2.5 hrs)

Next Steps
Please submit your profiles with:

• Updated CV highlighting Looker, SQL, embedded analytics experience
• Confirmation of availability, rate, and location
• Optional: Examples of LookML models, dashboards, or documentation

How to apply for this opportunity?

• Step 1: Click On Apply And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you