×
Register Here to Apply for Jobs or Post Jobs. X

Senior Analytics Analyst

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Inclusively
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior People Analytics Analyst
Location: St. Louis

Overview

Inclusively is partnering with a financial services company to hire a Senior People Analytics Analyst.
Please note: this role is NOT an internal position with Inclusively but with the partner company.

About Inclusively

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans.
However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Key Responsibilities Data Acumen
  • Navigate multiple data sources (e.g., Snowflake, Oracle) and leverage statistical software, reporting tools, and products to perform analyses and deliver insights.
Research Methods
  • Formulate hypotheses and apply a wide range of statistical methodologies to test them using structured and unstructured data.
  • Translate complex analyses and technical concepts into simple, business-friendly language.
Analytical & Problem-Solving Skills
  • Approach problems with rigorous logic and curiosity, seeking deeper answers beyond the obvious.
  • Distill large volumes of information into concise, understandable insights.
  • Communicate findings verbally and visually using clear, impactful graphics.
Storytelling
  • Develop and deliver compelling, data-driven narratives that answer the “so what” and “now what” for senior audiences.
  • Translate business needs into analytical insights and products that drive measurable value.
Stakeholder Engagement
  • Collaborate proactively with HR Business Partners and Centers of Expertise (CoE) teams to provide thought leadership on analysis projects.
  • Keep stakeholders informed of progress, timelines, and outcomes.
Analysis & Insights
  • Conduct advanced analyses to identify trends, patterns, and insights across the employee lifecycle and key HR areas such as employee listening, talent and performance, and learning and development.
Business Acumen
  • Translate data-driven insights into strategic recommendations that improve organizational performance and deliver measurable business value.
  • Stay current on emerging trends in people analytics, introducing external perspectives and enhancing product offerings to maximize impact.
Data Integrity & Governance
  • Exercise exceptional judgment and discretion when handling highly sensitive employee data.
Requirements
  • Bachelor’s degree in Data Analytics, Statistics, Human Resources, Business, or a related field.
  • 5+ years of experience in people analytics, HR analytics, or a similar data-focused role.
  • Proficiency in SQL and experience working with large datasets from platforms such as Snowflake or Oracle.
  • Strong skills in data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python, SPSS).
  • Demonstrated ability to translate complex data into clear, actionable insights for business stakeholders.
  • Excellent communication skills, both written and verbal, with experience presenting to senior leadership.
What could sets you apart
  • Advanced degree (Master’s in Analytics, Statistics, I/O Psychology or related field).
  • Experience with employee lifecycle analytics, talent management, and employee listening programs.
  • Familiarity with HR systems and data structures (Oracle, Success Factors, etc.).
  • Knowledge of predictive modeling, machine learning, or advanced statistical techniques.
  • Strong business acumen and ability to influence strategic decisions through data-driven insights.
#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary