Engineering project coordinator

As an Engineering Program Specialist, your top priority will be partnering with Technical Program Managers to deliver hardware to cross-functional team(s) on time to support product development. This role requires strong communication skills and attention to details as you will be working with large cross-functional teams both internally and externally. Managing and keeping track of information are extremely critical to the success of this role.

Core Responsibilities
- Collect allocation requests and manage distribution logistics
- Support budget management and forecasting
- Manage procurement and keep track of Purchase Orders
- Manage multiple programs concurrently

Minimum Qualifications
- 5+ years of experience as an Engineering Program Specialist or similar role in consumer electronics
- Experience in hardware development, worked with vendors domestically and internationally
- Experience managing complex spreadsheets, accounting tools, coordinating across different teams, vendors and time zones
- Experience working with SMT (Surface Mount Technology) and FATP (Final Assembly, Test and Pack) contract manufacturers

Top 3 must-have HARD skills:

5+ years of experience required.

Bachelor's degree required.

experience in procurement - issuing and managing POs

experience in distribution logistics

some background in managing budget

proficient in using spreadsheets, power point slide decks

Good to have skills: logistics role - previous working experience with vendors in Asia

Budget management

Experience working with Bill of Materials (BOMs) and/or FATP Build Matrices

EPC

Role: Data Analyst

Duration: 6+ months

100% Remote

We are looking for a data analytics engineer who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization. Responsibilities Partner with teams within Product Operations, the broader Global Operations and WhatsApp Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g. through identification of data & tooling requirements enabling self-service / scalable solutions Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis Utilize AI tools to help automate routine analyses and scale solutions.

Minimum Qualifications

Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.

Experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.

Experience with ETL pipeline development.

Proficiency with intermediate to advanced SQL concepts for data extraction.

Experience in managing multiple projects and meeting deadlines in a fast-paced environment.

Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.

Experience with statistical analysis, including hypothesis testing, regression, and experimental design.

Experience with communicating and presenting findings to non-technical stakeholders.

Preferred Qualifications

Advanced technical degree or graduate degree in statistics, marketing, or related fields.

Experience using AI for data analysis and summarization

Experience measuring the performance of AI models

Experience working across time zones and with diverse audiences, including within operations teams and

across with key stakeholders and senior leadership