Client Quantitative Analyst I

Jobtailor

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Jobtailor is seeking a data analytics professional to design, engineer, and certify enterprise data products used across analytics, reporting, AI, and BI. You will partner with governance teams to embed documentation, controls, and standards throughout the lifecycle, and collaborate with SMEs to define metrics and semantic layers for AI-ready insights.

You will apply advanced analytics, ML techniques, and behavioral analytics to improve customer journeys and product adoption, delivering

Qualifications

Demonstrated experience translating analytical findings into actionable business recommendations.
Experience designing data products for analytics, reporting, AI, and BI use cases.
Ability to partner with cross-functional teams to establish metrics, definitions, and semantic layers.

Responsibilities

Design, engineer, develop, and certify enterprise data products for analytics, reporting, AI, and BI use cases.
Collaborate with governance teams to ensure documentation, controls, and standards are applied throughout the data product lifecycle.
Translate complex analytics into clear, actionable insights for senior leadership and stakeholders.
Develop analytics frameworks and monitoring capabilities to assess strategy outcomes and inform decisions.
Identify opportunities to optimize product strategies based on portfolio performance and customer behavior.

Skills

SQL Proficiency

Python Programming

Data Analysis

Statistical Techniques

Data Manipulation Techniques

Product Analytics

Storytelling

Communication

Collaboration

Adaptability

Education

Advanced Degree in Mathematics

Advanced Degree in Statistics

Advanced Degree in Economics

Advanced Degree in Data Science

Advanced Degree in Analytics

Tools

SharePoint

Excel

PowerPoint

JIRA

Confluence

Spark

Scala

Java

Job description

Design, engineer, develop, and certify enterprise data products for broad consumption across analytics, reporting, AI, and business intelligence use cases.
Partner with Enablement & Governance teams to ensure appropriate documentation, controls, processes, and standards are incorporated throughout the data product lifecycle.
Collaborate with Subject Matter Experts to establish business definitions, rules, metrics, and semantic layers that provide context and make data products AI- and BI-ready.
Support the evolution of analytics by evaluating and applying emerging technologies, AI capabilities, analytical methodologies, and best practices.
Contribute to the development of standards, playbooks, and reusable frameworks that advance enterprise analytical capabilities.
Partner with Product Strategy leaders to evaluate the performance and effectiveness of existing product strategies and recommend opportunities for optimization.
Analyze portfolio performance, customer behavior, engagement trends, and product outcomes to identify opportunities for growth, risk mitigation, and improved customer experience.
Perform deep-dive analyses to understand customer journeys, behavioral patterns, and drivers of product adoption, usage, retention, and attrition.
Identify under-engaged, over-engaged, or emerging customer segments and develop recommendations to improve targeting, strategy execution, and customer outcomes.
Evaluate marketing, communication, servicing and customer experience strategies to identify opportunities for enhanced effectiveness and engagement.
Develop analytical frameworks, performance measurement methodologies, and monitoring capabilities to assess strategy outcomes and inform decision-making.
Translate complex analytical findings into clear actionable insights and compelling business recommendations for senior leadership and key stakeholders.
Deliver proactive insights that influence product strategy, customer experience improvements, and enterprise growth objectives.

Requirements

Demonstrated experience as an innovative thinker, self-starter, and creative problem solver who challenges the status quo
Strong analytical aptitude with experience performing data analysis, trend analysis, business performance evaluation, and statistical techniques
Experience translating analytical findings into actionable business recommendations that influence strategy and decision-making
Ability to work collaboratively with business partners, product teams, and technical stakeholders to solve complex business problems
Proficiency in SQL, Python, data manipulation techniques, and analytical tooling
Strong communication, storytelling, and presentation skills with the ability to explain complex concepts to technical and non-technical audiences
Ability to adapt quickly, learn new technologies, and experiment with emerging analytical techniques and methodologies.
Experience in product analytics, customer analytics, marketing analytics, portfolio analytics, or strategy analytics.
Experience evaluating product performance, customer engagement, customer journeys, and business strategy outcomes.
Knowledge of statistical modeling, machine learning, segmentation, behavioral analytics, and predictive analytics techniques.
Familiarity with AI and machine learning applications within business and analytical workflows.
Experience with SharePoint, Excel, PowerPoint, JIRA, Confluence, and Agile methodologies.
Experience with Spark, Scala, Java, Python, or similar analytical and data engineering technologies.
Project planning and execution experience, including scope definition, milestone tracking, and stakeholder communication.
Advanced degree in Mathematics, Statistics, Economics, Data Science, Analytics, or a related quantitative field.

Core Competencies

Demonstrates expertise in data product design and development, leveraging strong analytical skills and proficiency in SQL and Python to deliver actionable insights that drive business strategy and customer engagement. Capable of collaborating with cross-functional teams to enhance enterprise analytical capabilities and optimize product performance.

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