This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Consultant (Looker/BI) based in India.
This is a senior, developer-focused consulting role for an analytics professional with deep expertise in Looker and LookML. You will design scalable semantic models, build governed BI solutions, and help enterprise clients transform complex data into trusted insights. The role combines hands-on development with data validation, migration projects, performance optimization, and close collaboration with Data Engineering teams. You will also work directly with clients, communicate technical trade-offs, identify risks, and help drive successful delivery across fast-moving projects. A strong emphasis is placed on engineering standards, data quality, reusable architecture, and peer collaboration. You will also have the opportunity to expand your expertise into emerging BI technologies, particularly Omni, while mentoring other developers and taking ownership of production-ready solutions.
Accountabilities:
- Design and develop end-to-end Looker semantic models, including model files, views, explores, dimensions, measures, LookML dashboards, and Looks.
- Build scalable LookML architectures using reusable base explores, explore inheritance, shared views, structured includes, and curated field exposure.
- Implement and maintain row-level security using Looker user attributes and access filters.
- Develop dynamic reporting experiences using Liquid templating, parameters, templated filters, and conditional logic.
- Optimize BI performance through appropriate caching strategies, datagroups, persistent derived tables, and query-performance tuning.
- Manage Looker content, permissions, folders, embedding configurations, and development workflows.
- Validate data before development by profiling source tables with SQL and verifying completeness, coverage, quality, and business relevance.
- Migrate legacy reports from platforms such as Tableau, SSRS, or other BI tools into Looker against governed cloud data warehouse models.
- Analyze source reports, map columns to target warehouse tables, identify data gaps, document discrepancies, and rebuild reports according to established standards rather than simply replicating legacy layouts.
- Collaborate closely with Data Engineering teams to define column mappings, raise precise data issues, and ensure required data is available before development begins.
- Promote upstream data transformations where appropriate instead of embedding unnecessary business logic within LookML.
- Work within Git-based development workflows, including branching, merge requests, peer reviews, and collaborative code management.
- Establish and enforce LookML development standards covering naming conventions, model structures, shared view libraries, and review practices.
- Communicate directly with client stakeholders through project discussions, demonstrations, status updates, and recommendations.
- Identify and communicate risks, blockers, dependencies, and trade-offs clearly throughout project delivery.
- Mentor junior developers, review their work, and contribute to a culture of consistent engineering standards.
- Continue developing expertise in emerging BI and analytics technologies, with a particular focus on expanding Looker expertise into Omni and related modern platforms.
- Take ownership of deliverables through development, review, deployment, and ongoing improvement.
Requirements:
- Strong professional experience delivering enterprise BI and analytics solutions, with expert-level hands-on experience in Looker and LookML.
- Advanced LookML expertise covering views, explores, model files, dimension and measure design, dimension groups, drill fields, and scalable semantic model architecture.
- Strong understanding of Looker row-level security, including user attributes and access filters.
- Experience with Liquid templating, parameters, templated filters, and conditional reporting logic.
- Knowledge of Looker caching and performance optimization, including datagroups, caching policies, persistent derived tables, and query tuning.
- Strong SQL skills, including data profiling, complex joins, window functions, data validation, and quality analysis.
- Solid understanding of dimensional modeling, including star schemas, fact and dimension design, slowly changing dimensions, point-in-time joins, and prevention of join fan-out.
- Experience working with governed cloud data warehouses and building analytics solutions from trusted, modeled datasets.
- Demonstrated experience completing at least one BI migration from a legacy platform such as Tableau, SSRS, or another enterprise BI solution into Looker.
- Ability to investigate source-to-target mapping issues, data inconsistencies, incomplete datasets, and differences between testing and production environments.
- Strong consulting and stakeholder-management skills, with the ability to communicate clearly with clients, Data Engineering teams, product teams, and program managers.
- Ability to articulate blockers precisely, distinguish hard blockers from data or functionality degradations, and explain technical constraints in business-friendly language.
- Self-directed and comfortable working in ambiguous, fast-changing project environments.
- Strong ownership mindset, with willingness to review peer code, mentor junior team members, contribute to standards, and take responsibility for production delivery.
- Strong interest in continuous learning and the ability to quickly adopt adjacent and emerging technologies.
- Experience with Omni is strongly preferred, particularly for candidates who have previously expanded their expertise across BI platforms.
- Familiarity with Tableau, Power BI, Sigma, Git/GitLab, embedded analytics, Looker APIs/SDKs, System Activity, or Looker administration is a plus.
- Exposure to dbt or similar transformation frameworks, AI-assisted development tools such as Claude or Copilot, and Snowflake is advantageous.
- Looker/LookML certification and SnowPro certification are additional advantages.
Benefits:
- Remote-first working environment.
- Opportunity to work on complex enterprise BI and analytics engagements across diverse industries.
- Hands-on exposure to modern data, cloud, analytics, and AI technologies.
- Dedicated opportunity to upskill from Looker into Omni and other emerging BI platforms.
- Exposure to cloud data warehouses and modern data ecosystems, including Snowflake and related technologies.
- Opportunity to collaborate closely with experienced Data Engineering, Analytics, Product, and client-facing teams.
- Significant ownership over technical solutions, development standards, and production deliverables.
- Opportunity to mentor junior developers and grow into broader technical leadership responsibilities.
- Experience working on enterprise-scale data migrations and governed analytics environments.
- Remote collaboration across international teams and a distributed work environment.
- Inclusive workplace culture that values diverse backgrounds, perspectives, and experiences.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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