RESPONSIBILITIES:
A client with Kforce is seeking an Support Operations Analyst III to join their team in San Francisco, CA.
Proposal
We are seeking an Analytics Engineer for a . This individual will maintain and enhance foundational data pipelines that power self-service analytics, automate critical reporting workflows to significantly reduce manual efforts, and ensure pipelines are consistently refreshed with new or seasonal data. The role also involves collaborating with stakeholders to leverage standardized test reporting frameworks to make business decisions. The ideal candidate has strong SQL and data modeling skills, experience building scalable data pipelines, expertise in BI tools), and a proven track record of working collaboratively with cross-functional teams to drive data-driven decision-making.
Responsibililties:
In Season:
* Maintenance of the Data Foundations layer needed to supercharge self-serving capabilities for "CoM Product reporting"
* Automation of in-season KPI reporting and opportunity identification on CoM products to reduce the weekly lift
Out of Season:
* Improve existing CoM reporting capabilities - We have existing pipelines and reporting dashboards for Fast Money products: RAD/ERAD, RT, XDE, and CKM that need to be shored up through defining key funnel metrics, identifying more stable backend metrics in place of front end clickstream, optimizing pipeline performance, and improving business facing reporting
* Build and/or collaborate with other analytics enablements teams on New CoM reporting capabilities for short-term lending products (FNPL, RiL) with similar functions - define key metrics using backend source of truth where available, leverage best practices for data pipeline performance and quality, and business facing reporting
* Develop self-serve capabilities for CoM testing to drive consistency with those used for relevant funnel/product scope areas (ie. FnF, Shopping)
REQUIREMENTS:
* Strong analytical skills
* Knowledge of SQL and relational databases as well as BI tools such as Tableau
* SQL experience
* Data modeling skills
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: kforcecx
- Position Id: ITWQG2190440
- Posted 19 hours ago
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