Data Analyst

hace 4 días

Ciudad de México, Ciudad de México Urban Science A tiempo completo

About the Role

The Data Analyst position at Urban Science is a key role in our Data Management function. As a Data Analyst, you will be responsible for curating data to make it useful for business functions and meeting client needs. This role requires a broad spectrum of skills and responsibilities, including high-level business acumen and intimate knowledge of technical data specifics.

Key Responsibilities

  • Manage Urban Science client databases, extract and manipulate data using Urban Science proprietary software and commercial tooling
  • Ad hoc and ongoing processing of data
  • Data profiling and anomaly detection
  • Apply data analysis methods and tools to enhance data cleansing and readiness for use
  • Automate and create efficiencies in data processing
  • Assume responsibility for quality of data on assigned projects
  • Create and generate data reports and deliverables
  • Tier 2 and general system support functions
  • Manage access control into data processing systems
  • Ensure data confidentiality and regulatory compliance

Requirements

  • Oral communication skills necessary to express ideas clearly to individuals and groups
  • Written communication skills necessary to effectively communicate ideas in a clear, concise manner at a level appropriate for the audience
  • Ability to prioritize to competing demands, manage multiple concurrent tasks and adapt to changing priorities
  • Team oriented, with strong collaboration skills
  • Stakeholder relationship management
  • Ability to analyze problems and identify alternative solutions, applying appropriate Urban Science methodology
  • College level math skills and solid mathematical grounding required
  • Statistical analysis & analytical thinking
  • Knowledge of relational database fundamentals, including creating and executing SQL queries, creating scripts, importing/exporting data, and manipulating data
  • Ability to collect, analyze, interpret data results
  • Identification of patterns and trends in data sets
  • Data wrangling and cleansing
  • Root cause analysis and problem-solving for data incidents
  • Ability to select tools for data processing improvements

Education and Experience

  • Minimum Baccalaureate degree in Computer Science or related field from an accredited U.S. college or university, equivalent foreign institution is preferred. Non-technical degrees may be considered if candidate possesses appropriate level of analytical and technical knowledge and experience required for the role
  • 3+ years related work experience required
  • 1+ years with scripting and/or compiled languages
  • GIS experience a plus: geoprocessing, spatial analysis and mapping

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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