Position Details

Salary $200K – $229K USD / year

Type Not Specified

Experience senior

Exp. Years 7 years (Bachelor's) or 5 years (Master's) for data analytics; plus at least 5 years leading/developing with open source data technologies; at least 2 years managing people

Education Bachelor's degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) or Master's degree (in process with expectation required degree will be obtained on or before the scheduled start date)

Category Data & Analytics

About this role

As a Senior Manager, Data Analysis, you will partner across teams to validate business-impacting analytical tools using an enterprise-wide validation framework. You will plan and execute validation projects, assess quality and risk of analytical methodologies, and communicate findings through reports and presentations while mentoring junior staff.

Key Responsibilities

Refine an Enterprise-wide analytical tools validation framework
Plan and execute validation projects
Assess quality and risk of analytical tool methodologies and tool usage
Prototype industry best practices for emerging analytical tools
Communicate results via validation reports and presentations while coaching junior staff

Technical Overview

The technical scope centers on analytical tools validation, including assessing quality and risk of analytical tool methodologies and usage. You will prototype and research industry best practices for emerging analytical tools and troubleshoot technical issues affecting tool risk and opportunity.

Ideal Candidate

The ideal candidate is a senior data analytics leader with 5+ years of professional data analysis experience and 5+ years leading and developing with open source data technologies. They have experience creating or refining validation frameworks for analytical tools, assessing quality/risk, and communicating results through validation reports and presentations while coaching junior staff.

Must-Have Skills

data analytics (at least 5 years of experience performing professional data analysis work)leading and developing with open source data technologies (at least 5 years)managing people (at least 2 years)refining an Enterprise-wide analytical tools validation frameworkplanning and executing validation projectscommunicating results via validation reports and presentations

Required Skills

data analyticsvalidation projectsEnterprise-wide analytical tools validation frameworkassessing quality and riskanalytical tool methodologiesindustry best practicesprototypingvalidation reportspresentationscoaching and mentoringopen source data technologiesmanaging people

Hard Skills

data analyticsvalidation projectsanalytical tools validation frameworkassessing quality and risk of analytical tool methodologiesindustry best practicesprototypingcommunication via validation reportspresentationscoaching and mentoring junior staffopen source data technologiesanalytical tool methodologiesproblem solvingconceptual thinkingleadershipresearching

Soft Skills

cross-functional partnershipcommunicationinterpersonal skillsleadershipcoaching and mentoringindependent workteamworkmanaging multiple concurrent projects

Industry & Role

Industry Banking

Job Function Lead enterprise validation of analytical tools and methodologies to manage quality and risk in data-driven business decisions

Role Subtype Data Analyst

Tech Domains Python, SQL / PostgreSQL, AI & Machine Learning, Cloud & Infrastructure, DevOps & SRE

Keywords for Your Resume

Senior ManagerData Analysisdata is at the center of everything we dovalidate business impacting analytical toolsEnterprise-wide analytical tools validation frameworkvalidation projectsassessing the quality and riskanalytical tool methodologiestools usagetechnical issues in analytical toolstools risks and opportunitiesindustry best practicesemerging analytical toolsprototypingvalidation reportspresentationscoaching and mentoring junior staffdata analystsquantsdata scientistsdata analyticsopen source data technologiesmanaging peopleBachelor's DegreeMaster's DegreeStatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Science

Deal Breakers

At least 5 years of experience performing professional data analysis work, At least 5 years of experience leading and developing with open source data technologies, At least 2 years of experience managing people, Bachelor's degree in a quantitative field or Master's degree with expectation required degree is obtained on/before start date

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