Data Product Analyst

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Product Analyst

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Act as the Data Subject Matter Expert for international data across the end-to-end data supply chain • Resolve data issues with business and marketing stakeholders and build confidence in the data • Query, trace, and validate data from multiple sources to investigate anomalies, answer ad hoc requests, and uncover insights • Translate analytical findings into clear, business-friendly insights supporting decision-making • Elicit, document, and manage business, functional, and nonfunctional requirements • Own delivery after handoff by coordinating with data engineering, validating builds, and driving issues to resolution • Support prioritization by assessing business value, impacts, complexity, and risk • Ensure requirements traceability through development, testing, and deployment • Collaborate with data engineering analysts, architects, and engineers • Define acceptance and UAT criteria and support user validation • Monitor and enhance data quality through profiling, validation, and remediation • Build and maintain business-rule monitors and alerts • Participate in PSG and release go/no-go meetings • Manage meeting participation and raise availability issues early

🎯 Requirements

• Bachelor's degree in information systems, computer science, data analytics, or a related field, or equivalent experience • 5+ years of experience in data analysis, product analytics, analytics engineering, or similar roles, with extensive hands-on SQL experience • Proven ability to work effectively in cross functional environments and support delivery of data products serving multiple stakeholders • Demonstrated ownership through delivery, production, and issue resolution across business and engineering teams • Advanced SQL and analytical toolkit, including Python proficiency • Experience exploring, transforming, and validating complex datasets; tracing data lineage and verifying data integrity • Technical background in data modeling, ETL/ELT pipelines, and cloud data platforms such as AWS • Skilled in requirements elicitation and translating business needs into technical specifications • Skilled in crafting user stories, acceptance criteria, and product/data documentation • Strong understanding of data stewardship, data quality, lineage, metadata management, and responsible data use • Ability to connect data across multiple systems and enrich datasets • Excellent communication with technical and business stakeholders • Strong critical thinking and structured problem-solving

🏖️ Benefits

• Work From Home / remote work arrangement