Data Analyst

EXL

11d

About The Position

We are seeking a Data Analyst to join our team. This role will be responsible for owning analytics-ready datasets and dashboards, leading QA and UAT processes, and enabling analytics through SQL and Python. You will partner with data engineering to ensure data quality and act as a subject-matter expert for data definitions and business logic. Additionally, you will support marketing and experimentation initiatives by enabling audience segmentation, defining data needs for campaigns, and supporting experimentation frameworks. Collaboration with stakeholders and cross-functional teams is key, acting as a liaison between business and technical teams, eliciting requirements, and ensuring privacy and compliance considerations are met.

Requirements

Strong proficiency in SQL
Working knowledge of Python
Experience validating and testing data pipelines, datasets, and dashboards
Understanding of data modeling concepts and analytical data structures
Experience defining business requirements, acceptance criteria, and success metrics
Strong background in QA, UAT, and data validation workflows
Ability to balance speed with data quality and governance
Comfort operating as a product owner without direct engineering management
Excellent communication and data storytelling skills
Strong critical thinking and problem-solving capabilities
Ability to navigate ambiguity and drive clarity across teams
Proven ability to influence stakeholders without formal authority
High attention to detail and a proactive ownership mindset

Nice To Haves

Familiarity with cloud data platforms and modern data pipelines is a plus
Experience working with consumer or customer data preferred

Responsibilities

Own analytics-ready datasets and dashboards from requirements through delivery and adoption
Lead QA and UAT processes for new datasets, pipelines, and data products
Define acceptance criteria, test plans, and validation checks
Ensure data accuracy, completeness, usability, and consistency
Partner with data engineering to investigate root causes of data issues and bugs, prioritize fixes and enhancements, and validate deployments before production release
Act as a subject-matter expert for data definitions, metrics, and business logic
Maintain documentation for data products, schemas, and testing standards
Query and validate complex datasets using SQL and Python
Analyze large datasets to identify trends, patterns, and actionable insights
Translate analytical findings into clear, business-friendly narratives
Support end-to-end analytical deliverables from exploration through operationalization
Ensure analytics outputs are trusted, repeatable, and fit for business use
Partner with marketing and business teams to enable audience segmentation for acquisition, engagement, and retention initiatives
Define data needs for targeted and 1:1 campaign execution
Support experimentation frameworks by defining test/control logic and success metrics, and validating campaign data inputs and outputs
Ensure campaign data flows are properly tested and production-ready
Act as the primary liaison between business stakeholders and technical teams
Elicit, document, and prioritize business requirements for analytics and data products
Align privacy, legal, and compliance considerations into data design and testing
Collaborate with internal teams and external partners to assess data quality and resolve discrepancies
Promote shared understanding of data products and encourage best practices across teams