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Job Description
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:
- Database languages such as SQL Additional Comments:
- 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
UST Global is looking for a talented DataStage and UC4 resource. This position is within the Data & Analytics organization. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Qualifications • Bachelor's degree in computer science, information systems, or a similar field • 5+ Years of IT experience • Must have very strong SQL experience • Demonstrable experience as a DataStage developer. • Well versed with DataStage Admin concepts • Working knowledge on Stored procedures • Experience on UC4 or any other scheduling tools. • At least 1-year experience in Snowflake • Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe • Good to have experience with DevOps and CICD framework • Good to have experience on Python • Independent. Strong critical thinking, decision making, troubleshooting and problem-solving skills.
Skills
QualityPythonSASTableauExcelAnalyticsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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