Senior Data Analyst

Klivvr klivvr.com Open · verified Oct 24, 2026

On-site One Kattameya Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Klivvr. One Kattameya · full-time.

Pay not stated Data Analyst salary

RoleData Analysis & BI

SenioritySenior

LocationOne Kattameya

WorkplaceOn-site

EmploymentFull-time

PostedJul 5, 2026 · 3mo ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Lead analytics for one or more business areas, serving as the main analytical contact for their stakeholders
Turn unclear business requests into defined analyses, then use the findings to guide decisions
Create and maintain governed Looker metrics and dashboards with LookML so teams use consistent definitions
Investigate funnels, cohorts, segments, churn, activation and causal effects to explain business outcomes
Work with senior stakeholders to scope and prioritize requests, present recommendations, and check data quality

What you bring

At least five years in data analytics, including two years working independently as a senior individual contributor
Advanced SQL skills and experience handling complex datasets with relationships across multiple rows
Hands-on experience building governed BI in Looker and LookML, or a comparable platform
Experience with a cloud data warehouse and a transformation framework such as dbt
A strong grounding in statistics and causal analysis, including experimentation and methods such as regression

Who this fits

This role suits a senior individual contributor who can carry analysis from an open-ended business question through delivery and communicate findings to senior stakeholders. It is based onsite at One Kattameya.

From the employer

We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions.

What you'll do:

Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders.
Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making.
Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth.
Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why.
Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations.
Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements.
Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale.
Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences.

To succeed in this role, you'll need to have:

5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity.
Background in fintech or banking is strongly preferred.
Advanced SQL with strong understanding of complex datasets and multi-row relationships.
Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift.
Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI.
Experience with dbt or similar data transformation frameworks.
Working knowledge of Python or R for analysis and automation.
Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.).
Ability to transform ambiguous business questions into well-scoped analytical projects.
Strong analytical judgment and methodological rigor.
Excellent stakeholder management and communication skills.
Commitment to data quality, governance, and consistent metric definitions.
Ability to work autonomously and own projects from problem definition through delivery.