Data Manager (Geospatial)

Key Skills

Analytical and Problem solving, Data Analysis, Data cleaning / Data cleansing, Data Governance, Data management, Data science techniques, Data structuring, Data Visualization, Design, Effective communication skills, Employee life cycle, Geospatial Statistical, MySQL, PostgreSQL, RDBMS, SQL

Job Description

Key technical capabilities and expectations:

• Develop innovative solutions and procedures and promote processes to improve efficiency and quality within the geospatial team and across products.
• Geospatial Data Management: use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security.
• Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling.
• Spatial Data Visualization: including data considerations, principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards.
• Experience with at least one RDBMS (SQL Server, MySQL, PostgreSQL, etc) and strong SQL skills.
• Ability to import, export and manipulate data between Geospatial systems and other applications, applying tools such as FME and databricks.
• Expertise in one or more data-related technologies/languages (e.g. Python, R, Java Script, etc.).
• Expertise in the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s).
• Experience of delivery of data products within cloud platforms such as AWS and Azure

Key mentality/values and behaviors/leadership expectations:

• Automation: actively seek to improve data insights, automate, and simplify workflows and processes. Build new tools and approaches to automate data ingestion, data integration, manipulation, and quality control, where needed.
• Creating innovative solutions to improve process, workflow, standard methodology, and service delivery.
• Challenging conventional thinking, problem solving and innovating.
• Identifying, piloting and applying new data management techniques to improve data and service delivery.
• Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value.
• Actively communicating and promoting the purpose and benefits of information and data management and data analytics, engaging, and effectively managing partners.
• Coding: you see opportunities for code re-use and produce it into data management software systems in your immediate business entity / enabler area. You advocate for coding process across your immediate team (e.g. unit tests, checks code into git, code review); you have awareness of new external trends with respect to building scalable, re-usable data management software systems.
• Citizenship: you engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; You demonstrate your own skills & experience to upskill others. You understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. You start to identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data.
• Autonomy in problem identification and problem breakdown: end-to-end project ownership: you independently identify problems to be solved in your team / sub-area because of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into actionable sub-problems and tasks; you help line up and concretize projects for more junior team members

Qualifications:

• Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with some relevant experience.
• Hands-on experience designing, planning, producing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments
• Knowledge and hands-on experience in technologies across all data lifecycle stages
• Continuous learning and improvement mentality

Why join us

At bp, we support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees’ lives that are important, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Business Acumen, Commercial acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Problem Solving