Lead I

5 - 7 Years

2 Openings

Trivandrum

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

• 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

Additional Comments:

Research Analyst - Data Visualization The Senior Research Analyst is responsible for leading the development and maintenance of advanced Tableau dashboards and reports that provide actionable insights to the business. This role requires a deep understanding of data visualization best practices and the ability to translate complex data sets into clear and compelling visual stories. Job Summary Responsibilities The Senior Research Analyst will be required to do the following: · Deliver dashboard solutions - mapping data inputs, presenting information visually, and automating processes · Based on the given requirements, present information designed for both executives and analysts · Query data, validate results, and reconcile against other sources when necessary; conduct reasonability testing · Stay current with the latest Tableau features and best practices, and incorporate them into existing and future projects · Optimize performance of dashboards for efficient and reliable access to data. · Understand business processes and flows as related to sourcing and consuming data · Identify areas for reporting consolidation, automation, and self-service opportunities · Perform other duties as assigned Position Qualifications: · Bachelor's or Master's degree in Mathematics, Statistics, Analytics, Health Informatics, Computer Science, Data Science, Information Systems, or equivalent work experience · 5+ years' analytical work experience · Advanced experience with data visualization and analytics tools · Demonstrated expertise in Tableau (including Prep) and SQL, including experience with complex data models · A portfolio showcasing previous dashboard work is highly desirable, for example, on Tableau Public · Technical experience and data management skills including data development, data extraction, transformation, QA, and analytic skills working with large datasets · Ability to present complex information in a way that is easy to understand by both technical and business audiences · Ability to work independently and as part of a group · Highly organized with close attention to detail · Ability to document work for auditing purposes · Ability to work efficiently in a fast-paced environment under time constraints · Experience working in health insurance preferred.

Data Visualization & Analytical tools,Tableau & SQL,Data Models,Data Management

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