Job description

Weyerhaeuser is hiring a Data Analyst, Geospatial with 3 - 5 years of experience. Based in United States - Seattle, WA and with Hybrid ways of working. Job description and responsibilities: You are an experienced analyst who is energized by supporting the development of an analytics driven product pipeline for a large and dynamic natural resource-based organization. You have a high attention to detail but are good at seeing the big picture and aren’t afraid to think outside the box. You are effective at communicating timely and relevant information to business customers. You are passionate about the sustainable role of forests, by acquiring in-depth understanding achieved through supporting and participating in advanced large-scale analysis. We are a fast-moving team who is responsible for using evidence-based analytics to assess existing strategies, evaluate risks and opportunities, recommend revised or new strategies, evaluate competing business priorities, and provide recommendations on strategic direction to Weyerhaeuser’s Corporate Development Leadership team. In this role, you will provide analytical support for the company’s best-in-class portfolio analytics technology platform that leverages earth observation data together with geo-spatial biological and physical data, business data, and market information to develop strategic planning tools and recommendations. The successful candidate must have experience compiling, cleaning, sampling and testing large data sets. This role will be part of the Portfolio Analytics team and will be based in Seattle, WA. Geospatial Data Analyst Responsibilities • Support data science efforts in a fast-paced team environment to accelerate our efforts of building out our analytics driven product pipeline. • Support the data scientist(s) by sourcing, compiling, and integrating different data sources to ensure consistency and compatibility for analysis, while also handling data cleaning, preprocessing, sampling, and conducting testing and validation using statistical analysis methods, particularly Python. • Assist the data scientist(s) in the design and execution of algorithms for domain-specific tasks . • Assist in the development or customization of tools, scripts, or software to automate and optimize data processing and analysis tasks. • Translate existing tools and workflows into reusable Python scripts. • Build cross-functional relationships to collaboratively partner within our business, data science team and IT. • Proactively identify ways to improve data reliability, efficiency, and quality. • Support the development of communicative and impactful reports on model inputs, model outputs, business impact and key performance indicators. • Document processes, methodologies, and findings to ensure reproducibility and clarity for other team members. • Support large geospatial dataset collection, including QA/QC and format standardization. • Follow standard Weyerhaeuser best practices in managing geospatial data and source code. • Support the development and presentation of compelling, validated stories to all levels of our organization, including peers, senior management, and internal customers, that communicate the value of earth observation (EO) analytics to drive strategic business initiatives. Job Administrative, General Management, Legal, Real Estate, & Miscellaneous Requirements and qualifications: Experience: We place an emphasis on what prior experience our candidates bring to the table. This role typically requires a minimum of 3-4 years of prior experience working with large geo-temporal data sets, including EO imagery (Landsat, Sentinel, aerial photos). Education: You have a bachelor’s degree or higher in a related field with a quantitative emphasis such as Computer Science, Statistics, Resource Economics, Business, Biology, Geospatial data science, or Forestry.Master’s degree preferred. Skills: To be successful in this role, you understand machine learning concepts and possess strong communication skills with the ability to excite business leaders on the utility of these analytic tools for strategic business decision making.You are a passionate and creative problem solver and are coachable and committed to expanding knowledge and skills. Technical Requirements: We need an individual who has a strong working knowledge inMicrosoft office products (Excel, PowerPoint, Power BI), as well as proficiency in programming environment and languages, specifically Python and R.You’ll need knowledge of analytic and visualization packages available for those languages. You’ll need GIS skills (e.g., ArcGIS). You’ll also need experience with data structures such as Numpy, Pandas and Geopandas, and familiarity utilizing open-source Python analytic libraries such as: SciKit Learn, SciPy. You’ll need cloud computing experience, preferably in the AWS environment. Highly Valued • Forest industry operational experience • Proficiency in multiple statistical and data management packages • Exposure to Xarray data structure, parallelization tools Dask. • Exposure to machine learning and deep learning frameworks like TensorFlow, PyTorch, or Keras • Experience with relational and non-relational databases

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