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Lead II - Data Analysis

Company: UST Global
Location: Milpitas
Posted on: June 2, 2021

Job Description:

Role Proficiency:

Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team

Outcomes:

  • Managing and designing the reporting environment including data sources security and metadata.
  • Providing technical expertise on data storage structures data mining and data cleansing.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Synthesize both quantitative and qualitative data into insights
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Understanding business requirements and translating it into executable steps for the team members.
  • Identify and recommend new ways to streamline business processes
  • Illustrates data graphically and translates complex findings into written text.
  • Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback.
  • Review the team's deliverables before sending final reports to stakeholders.
  • Support cross-functional teams with data reports and insights on data.
  • Training end users on new reports and dashboards.
  • Set FAST goals and provide feedback on FAST goals of reportees

Measures of Outcomes:

  • Quality - number of review comments on codes written
  • Accountable for data consistency and data quality.
  • Number of medium to large custom application data models designed and implemented
  • Illustrates data graphically and translates complex findings into written text.
  • Number of results located to help clients make informed decisions.
  • Attention to detail and level of accuracy.
  • Number of business processes changed due to vital analysis.
  • Number of Business Intelligent Dashboards developed
  • Number of productivity standards defined for project
  • Manage team members and review the tasks submitted by team members
  • 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

Management and Strategy:

  • Oversees the activities of analyst personnel and ensures the efficient execution of their duties.

Critical business insights:

  • Mines the business's database in search of critical business insights and communicates findings to the 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 like git bitbucket. etc.

Create Reports:

  • Create reports depicting the trends and behaviours from the analysed data

Document:

  • Create documentation for own work as well as perform peer review 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 to project related reporting standards/process

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 look at the numbers trends and data and come to new conclusions based on the findings.
  • Presentation Skills - reports and oral presentations to client
  • Strong meeting facilitation skills as well as presentation skills.
  • Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Proactively ask for and offer help

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 or Power BI.
  • Proficient in mathematics and calculations.
  • Spreadsheet tools such as Microsoft Excel or Google Sheets
  • DBMS
  • Operating Systems and software platforms
  • Knowledge about customer domain and also sub domain where problem is solved

Keywords: UST Global, Milpitas , Lead II - Data Analysis, Other , Milpitas, California

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