Lead I - Data Analysis
UST
San Jose, San Jose, Costa Rica
hace 3 días

Role Proficiency :

Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes.

Outcomes :

  • Design and manage the reporting environment; which include data sources security and metadata.
  • Provide technical expertise on data storage structures data mining and data cleansing.
  • Support the data warehouse in identifying and revising reporting requirements.
  • Support initiatives for data integrity and normalization.
  • Assess tests and implement new or upgraded software. Assist with strategic decisions on new systems. Generate reports from single or multiple systems.
  • Troubleshoot the reporting database environment and associated reports.
  • Identify and recommend new ways to streamline business processes
  • Illustrate data graphically and translate complex findings into written text.
  • Locate results to help clients make better decisions. Solicit feedback from clients and build solutions based on feedback.
  • Train end users on new reports and dashboards.
  • Set FAST goals and provide feedback on FAST goals of repartees
  • Measures of Outcomes :

  • Quality - number of review comments on codes written
  • Data consistency and data quality.
  • Number of medium to large custom application data models designed and implemented
  • Illustrates data graphically; translates complex findings into written text.
  • Number of results located to help clients make informed decisions.
  • Number of business processes changed due to vital analysis.
  • Number of Business Intelligent Dashboards developed
  • Number of productivity standards defined for project
  • Number of mandatory trainings completed
  • Outputs Expected :

    Determine Specific Data needs :

  • Work with departmental managers to outline the specific data needs for each business method analysis project
  • Critical business insights :

  • Mines the business’s database in search of critical business insights; communicates findings to relevant departments.
  • Code :

  • Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data.
  • Creates efficient and reusable code. Follows coding best practices.
  • Create / Validate Data Models :

  • Builds statistical models; diagnoses validates and improves the performance of these models over time.
  • Predictive analytics :

  • Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis
  • Prescriptive analytics :

  • Attempts to identify what business action to take
  • Code Versioning :

  • Organize and manage the changes and revisions to code. Use a version control tool for example git bitbucket. etc.
  • Create Reports :

  • Create reports depicting the trends and behaviours from analyzed data
  • Document :

  • Create documentation for worked performed. Additionally perform peer reviews of documentation of others' work
  • Manage knowledge :

  • Consume and contribute to project related documents share point libraries and client universities
  • Status Reporting :

  • Report status of tasks assigned
  • Comply with project related reporting standards and processes
  • Skill Examples :

  • Analytical Skills : Ability to work with large amounts of data : facts figures and number crunching.
  • Communication Skills : Communicate effectively with a diverse population at various organization levels with the right level of detail.
  • Critical Thinking : Data Analysts must review numbers trends and data to come up with original conclusions based on the findings.
  • Presentation Skills - facilitates reports and oral presentations to senior colleagues
  • Strong meeting facilitation skills as well as presentation skills.
  • Attention to Detail : Vigilant in the analysis to determine accurate conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Proactively ask for and offer help
  • Knowledge Examples : Knowledge Examples

    Knowledge Examples

  • Database languages such as SQL
  • Programming language such as R or Python
  • Analytical tools and languages such as SAS & Mahout.
  • Proficiency in MATLAB.
  • Data visualization software such as Tableau or Qlik.
  • Proficient in mathematics and calculations.
  • Efficiently with spreadsheet tools such as Microsoft Excel or Google Sheets
  • DBMS
  • Operating Systems and software platforms
  • Knowledge regarding customer domain and sub domain where problem is solved
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