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 Jobs1206

Total Funding-

Latest FundraiseUnknown

Join the Team

Decision Science Analyst Senior - Member Value

On-SitePlano, TX, US

On-Site • Plano, TX, US

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

Technical Writer

ContractTel Aviv

Contract • Tel Aviv

Mobile Developer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Software Engineer

InternshipBerlin, DE

Internship • Berlin, DE

Technical Writer

ContractAmsterdam, NL

Contract • Amsterdam, NL

Technical Writer

Full-timeManchester, GB

Full-time • Manchester, GB

AI Researcher

Full-timeCambridge, GB

Full-time • Cambridge, GB

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity As a dedicated Decision Science Analyst Senior - Member Value, you will contribute to transforming member service experiences by supporting end-to-end analytics. You'll help uncover valuable insights that improve member satisfaction and support our service strategies. You'll work closely with experienced team members, learn to apply analytical tools, and assist in translating data into understandable recommendations. This is a great opportunity to grow your skills in analytics and help shape how we understand and serve our members.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position.

What You'll Do

What You Have

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative field; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

What Sets You Apart

An interest in supporting our military community or military families is a plus.
An understanding of how customers interact with services and what makes a good customer experience.
An interest in learning and applying analytical techniques to explore data and identify trends.
Good communication skills, with the ability to explain findings simply and clearly.
A strong desire to learn new analytical methods, tools, and grow your career in data science and analytics.
Ability to collaborate effectively with team members and contribute to shared goals.

Compensation range: The salary range for this position is: $114,080.00 - $218,030.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. PDN-a09efc39-a0c4-46c6-b201-98d48f9d8f16

Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change

Translates recommendation into communication materials to effectively present to various levels of management.

Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

Integrates/transforms disparate data sources and resolves appropriate data hygiene techniques to apply.

Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

Provides subject matter expertise in operationalizing recommendations.

Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)

Finds opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).

Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

6 years of data & analytics experience OR

a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR

advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative field and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).

Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.