TalentAlly

TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

TalentAlly

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

HQChicago, US

Team Size82

Open Jobs2853

Total Funding-

Latest FundraiseUnknown

Join the Team

Business Intelligence Analyst Specialist

On-SiteAnn Arbor, MI, US

On-Site • Ann Arbor, MI, US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Technical Writer

Full-timeLondon, GB

Full-time • London, GB

Software Engineer

ContractUtrecht, NL

Contract • Utrecht, NL

Software Engineer

Full-timeHamburg, DE

Full-time • Hamburg, DE

DevOps Engineer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Technical Writer

Full-timeLondon, GB

Full-time • London, GB

How to Apply

A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, one page or less, please let us know how this role aligns with your career aspirations and skills. Submit both a cover letter and resume as one file, due to system limitations.

Job Summary Are you passionate about transforming complex data into strategic insights that shape the future of a world-class institution? Do you enjoy ensuring data integrity and identifying opportunities for improvement? We are seeking an innovative and collaborative strategist to join our team. Reporting to the Assistant Director of HR Data & Analytics, the Business Intelligence Analyst Staff Specialist will be a trusted partner in advancing the university's vision for HR data, transforming sensitive HR data into reliable insights that drive workforce planning and institutional success.

This position is a unique opportunity to bridge technical expertise with strategic decision-making, contributing to a data-informed culture within a vibrant and inclusive environment. Our collaborative team of data professionals is looking to add a colleague with expertise in data governance and user experience to contribute to our collective goals of improving the HR data culture at the University of Michigan. If you excel at data storytelling and are excited to leverage artificial intelligence and emerging technologies to solve complex challenges, we encourage you to apply.

What You'll Do

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Additional Information

Applicants must be lawfully able to be employed in the United States, sponsorship to obtain such status is not available at this time.

To review the comprehensive job description, please see this link: Business Intelligence Analyst Specialist

To learn more about our department, please review our webpage: HR Data & Analytics

Benefits At The University Of Michigan The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include:

A retirement plan with a 2-for-1 university contribution.
Excellent medical, dental, and vision insurance plans.
Generous paid time off, holidays, and sick leave.
A hybrid work environment with flexible work arrangements.
Tuition support programs for employees and their dependents.
Parental and family care leave.
Life insurance and disability coverage.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

PDN-a058219a-55a4-4739-94dd-5e5b0ab83df6

Champion Data Quality and Governance: Develop a deep understanding of HR processes to implement and maintain robust data governance policies. Monitor and establish regular audits and quality assurance checks to ensure the highest standards of data integrity, privacy, and compliance.

Enhance User Experience (UX): Apply your expertise to build and implement user-centric data products and technical workflows. Plan and execute usability evaluations to ensure insights from user feedback are integrated into our technologies and data products.

Develop Advanced Analytical Solutions: Design, create, and manage intuitive data visualizations, dashboards, and reports that tell a compelling story and provide actionable insights for university leadership.

Drive Insight through Complex Analysis: Compile, integrate, and analyze data from multiple university systems to identify root causes of issues and deliver meaningful reports that support complex HR decision-making.

Collaborate and Innovate: Work closely with team members and IT partners to evaluate and promote the adoption of new technologies. Serve as a project lead or key participant on new initiatives that support institutional goals. Skills You Have

A Bachelor's degree in a relevant computer science or information systems discipline.

10+ years of business intelligence, programming and quantitative data analysis including statistical analysis, data science and data management.

5+ years of experience in end-to-end data product development, including rapid prototyping, user testing, and creating interactive visualizations, reports, and dashboards using business intelligence technologies for data storytelling to frame data insights.

3+ years of User Experience (UX), User Interface (UI), or Human-Computer Interaction (HCI) experience.

Knowledge and demonstrative experience in data governance principles and quality assurance practices to ensure data accuracy, consistency, and compliance.

Experience in data storytelling using modern data visualization software or coding tools and presentation tools for senior decision-makers with the ability to appropriately frame HR and workforce data insights.

Expert level proficiency in SQL for query design, data validation, automation and working with large, complex data sets to support scalable analytics.

Proven ability to investigate data issues, identify underlying causes, and implement sustainable solutions that improve data quality, system reliability, and user trust.

Proficiency in the use, configuration, and design of generative artificial intelligence tools and related technologies. Modes of Work