HR Operations Analyst II

Location:

Austin, TX (Hybrid Schedule)

Tel US HR Technology team is looking for an HR Data Analyst with a vision for strategy, deep customer focus, brilliant consulting capabilities and impactful analytical skills. Our team advises the HR Leaders through data‑based insights and compelling storytelling to achieve business objectives and people priorities, enabling deep insights for the HR Leaders supporting key people and organization decisions and initiatives, and partners to grow data capability and enable modern data solutions that enhance our HR Centers of Excellence (CoE) organizations' work with data.

In this strategic role, you will partner with HR CoE Leaders to understand the business and people priorities while discovering ways to measure and analyze their big bets related to Talent Acquisition, Talent Management, & Total Rewards priorities. You will be comfortable leading and consulting through ambiguity, presenting and consulting with HR Leaders across the Company, and be a creative problem solver that recognizes opportunities.

You will have the ability to think strategically at a global level and be able to effectively problem‑solve and project‑manage across all layers of the organization. All with the highest focus for customer obsession.

• Design an analytical approach and deliver research and findings using data, visualizations, and effective storytelling techniques.
• Translate findings into succinct, actionable business insights, often in coordination with partners to help tell a holistic story.
• Apply a breadth of tools and analytical techniques to answer a wide range of high‑impact people‑related business questions.
• Solve sometimes ambiguous business problems by formulating and facilitating solutions that realize the needs and provide for the requirements arising in the organization.
• Exhibit effective execution by effectively contracting and communicating with customers, partners, and co‑workers to define and provide deliverables, timelines, and responsibilities, all the while balancing and prioritizing across multiple and sometimes shifting priorities.

Supports and/or consults with other teams on the build and execution of formal experiments or develops prototypes/proofs of concepts, to evaluate the impact of new or changed features or processes. Partners cross‑functionally to advise on experimental design or evaluation frameworks for established data sources, as well as decisions related to data use, personalization, and the interpretation of results. Takes calculated risks and applies learnings, reports results, and identifies relevant data‑driven recommendations and/or connections to results of other work.

Identifies and leverages appropriate sources of data to address specific business needs. Evaluates data for applicability to answering relevant and impactful business questions, determines methods for integrating data across sources, and addresses data integrity and/or quality issues independently and/or in partnership with other teams. Contributes to the development and/or recommendation of initial/prototype data models and/or tools for consumption by others and escalates complex issues with those models and/or tools to appropriate Engineering or Data‑Science teams.

Works within and across teams to ensure alignment in data sources, methods, models, analytical tools and processes, and business priorities to deliver key insights and results. Engages stakeholders to identify and act on opportunities to leverage resources, data sources, and solutions that were instrumental to success in similar contexts and consults across teams on decisions related to data sourcing, analyses, and the interpretation of analytical results.

Leverages understanding of data and the business to examine projects through a customer‑ and/or stakeholder‑oriented focus. Manages customer and/or stakeholder expectations regarding project/product progress and timeline and takes responsibility to enhance customer excellence. Assists and learns from executive team members to…